{
  "description": "Service to parse structured information from unstructured or semi-structured documents using state-of-the-art Google AI such as natural language, computer vision, translation, and AutoML.",
  "documentationLink": "https://cloud.google.com/document-ai/docs/",
  "servicePath": "",
  "mtlsRootUrl": "https://documentai.mtls.googleapis.com/",
  "id": "documentai:v1beta3",
  "baseUrl": "https://documentai.googleapis.com/",
  "basePath": "",
  "protocol": "rest",
  "rootUrl": "https://documentai.googleapis.com/",
  "fullyEncodeReservedExpansion": true,
  "name": "documentai",
  "auth": {
    "oauth2": {
      "scopes": {
        "https://www.googleapis.com/auth/cloud-platform": {
          "description": "View and manage your data across Google Cloud Platform services"
        }
      }
    }
  },
  "title": "Cloud Document AI API",
  "parameters": {
    "uploadType": {
      "location": "query",
      "type": "string",
      "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\")."
    },
    "prettyPrint": {
      "description": "Returns response with indentations and line breaks.",
      "location": "query",
      "type": "boolean",
      "default": "true"
    },
    "fields": {
      "location": "query",
      "type": "string",
      "description": "Selector specifying which fields to include in a partial response."
    },
    "$.xgafv": {
      "enum": [
        "1",
        "2"
      ],
      "enumDescriptions": [
        "v1 error format",
        "v2 error format"
      ],
      "description": "V1 error format.",
      "location": "query",
      "type": "string"
    },
    "quotaUser": {
      "type": "string",
      "location": "query",
      "description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters."
    },
    "access_token": {
      "description": "OAuth access token.",
      "type": "string",
      "location": "query"
    },
    "key": {
      "location": "query",
      "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.",
      "type": "string"
    },
    "callback": {
      "description": "JSONP",
      "location": "query",
      "type": "string"
    },
    "oauth_token": {
      "location": "query",
      "type": "string",
      "description": "OAuth 2.0 token for the current user."
    },
    "upload_protocol": {
      "description": "Upload protocol for media (e.g. \"raw\", \"multipart\").",
      "location": "query",
      "type": "string"
    },
    "alt": {
      "description": "Data format for response.",
      "location": "query",
      "type": "string",
      "default": "json",
      "enumDescriptions": [
        "Responses with Content-Type of application/json",
        "Media download with context-dependent Content-Type",
        "Responses with Content-Type of application/x-protobuf"
      ],
      "enum": [
        "json",
        "media",
        "proto"
      ]
    }
  },
  "ownerName": "Google",
  "resources": {
    "projects": {
      "resources": {
        "locations": {
          "resources": {
            "processors": {
              "methods": {
                "process": {
                  "scopes": [
                    "https://www.googleapis.com/auth/cloud-platform"
                  ],
                  "request": {
                    "$ref": "GoogleCloudDocumentaiV1beta3ProcessRequest"
                  },
                  "response": {
                    "$ref": "GoogleCloudDocumentaiV1beta3ProcessResponse"
                  },
                  "httpMethod": "POST",
                  "parameterOrder": [
                    "name"
                  ],
                  "description": "Processes a single document.",
                  "flatPath": "v1beta3/projects/{projectsId}/locations/{locationsId}/processors/{processorsId}:process",
                  "path": "v1beta3/{+name}:process",
                  "id": "documentai.projects.locations.processors.process",
                  "parameters": {
                    "name": {
                      "location": "path",
                      "description": "Required. The processor resource name.",
                      "required": true,
                      "type": "string",
                      "pattern": "^projects/[^/]+/locations/[^/]+/processors/[^/]+$"
                    }
                  }
                },
                "batchProcess": {
                  "response": {
                    "$ref": "GoogleLongrunningOperation"
                  },
                  "scopes": [
                    "https://www.googleapis.com/auth/cloud-platform"
                  ],
                  "request": {
                    "$ref": "GoogleCloudDocumentaiV1beta3BatchProcessRequest"
                  },
                  "description": "LRO endpoint to batch process many documents. The output is written to Cloud Storage as JSON in the [Document] format.",
                  "path": "v1beta3/{+name}:batchProcess",
                  "id": "documentai.projects.locations.processors.batchProcess",
                  "parameterOrder": [
                    "name"
                  ],
                  "parameters": {
                    "name": {
                      "required": true,
                      "pattern": "^projects/[^/]+/locations/[^/]+/processors/[^/]+$",
                      "location": "path",
                      "type": "string",
                      "description": "Required. The processor resource name."
                    }
                  },
                  "flatPath": "v1beta3/projects/{projectsId}/locations/{locationsId}/processors/{processorsId}:batchProcess",
                  "httpMethod": "POST"
                }
              },
              "resources": {
                "humanReviewConfig": {
                  "methods": {
                    "reviewDocument": {
                      "description": "Send a document for Human Review. The input document should be processed by the specified processor.",
                      "id": "documentai.projects.locations.processors.humanReviewConfig.reviewDocument",
                      "scopes": [
                        "https://www.googleapis.com/auth/cloud-platform"
                      ],
                      "request": {
                        "$ref": "GoogleCloudDocumentaiV1beta3ReviewDocumentRequest"
                      },
                      "path": "v1beta3/{+humanReviewConfig}:reviewDocument",
                      "parameters": {
                        "humanReviewConfig": {
                          "description": "Required. The resource name of the HumanReviewConfig that the document will be reviewed with.",
                          "type": "string",
                          "required": true,
                          "pattern": "^projects/[^/]+/locations/[^/]+/processors/[^/]+/humanReviewConfig$",
                          "location": "path"
                        }
                      },
                      "parameterOrder": [
                        "humanReviewConfig"
                      ],
                      "httpMethod": "POST",
                      "flatPath": "v1beta3/projects/{projectsId}/locations/{locationsId}/processors/{processorsId}/humanReviewConfig:reviewDocument",
                      "response": {
                        "$ref": "GoogleLongrunningOperation"
                      }
                    }
                  }
                }
              }
            },
            "operations": {
              "methods": {
                "get": {
                  "response": {
                    "$ref": "GoogleLongrunningOperation"
                  },
                  "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.",
                  "parameters": {
                    "name": {
                      "description": "The name of the operation resource.",
                      "type": "string",
                      "pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$",
                      "required": true,
                      "location": "path"
                    }
                  },
                  "httpMethod": "GET",
                  "flatPath": "v1beta3/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}",
                  "parameterOrder": [
                    "name"
                  ],
                  "id": "documentai.projects.locations.operations.get",
                  "path": "v1beta3/{+name}",
                  "scopes": [
                    "https://www.googleapis.com/auth/cloud-platform"
                  ]
                }
              }
            }
          },
          "methods": {
            "list": {
              "response": {
                "$ref": "GoogleCloudLocationListLocationsResponse"
              },
              "scopes": [
                "https://www.googleapis.com/auth/cloud-platform"
              ],
              "path": "v1beta3/{+name}/locations",
              "id": "documentai.projects.locations.list",
              "description": "Lists information about the supported locations for this service.",
              "parameters": {
                "name": {
                  "required": true,
                  "pattern": "^projects/[^/]+$",
                  "description": "The resource that owns the locations collection, if applicable.",
                  "type": "string",
                  "location": "path"
                },
                "pageToken": {
                  "description": "The standard list page token.",
                  "location": "query",
                  "type": "string"
                },
                "filter": {
                  "type": "string",
                  "location": "query",
                  "description": "The standard list filter."
                },
                "pageSize": {
                  "format": "int32",
                  "type": "integer",
                  "location": "query",
                  "description": "The standard list page size."
                }
              },
              "httpMethod": "GET",
              "flatPath": "v1beta3/projects/{projectsId}/locations",
              "parameterOrder": [
                "name"
              ]
            },
            "get": {
              "flatPath": "v1beta3/projects/{projectsId}/locations/{locationsId}",
              "httpMethod": "GET",
              "response": {
                "$ref": "GoogleCloudLocationLocation"
              },
              "scopes": [
                "https://www.googleapis.com/auth/cloud-platform"
              ],
              "path": "v1beta3/{+name}",
              "description": "Gets information about a location.",
              "id": "documentai.projects.locations.get",
              "parameterOrder": [
                "name"
              ],
              "parameters": {
                "name": {
                  "location": "path",
                  "pattern": "^projects/[^/]+/locations/[^/]+$",
                  "required": true,
                  "description": "Resource name for the location.",
                  "type": "string"
                }
              }
            }
          }
        }
      }
    }
  },
  "schemas": {
    "GoogleCloudLocationListLocationsResponse": {
      "id": "GoogleCloudLocationListLocationsResponse",
      "description": "The response message for Locations.ListLocations.",
      "type": "object",
      "properties": {
        "locations": {
          "items": {
            "$ref": "GoogleCloudLocationLocation"
          },
          "type": "array",
          "description": "A list of locations that matches the specified filter in the request."
        },
        "nextPageToken": {
          "description": "The standard List next-page token.",
          "type": "string"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageAnchorPageRef": {
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageAnchorPageRef",
      "type": "object",
      "description": "Represents a weak reference to a page element within a document.",
      "properties": {
        "layoutType": {
          "type": "string",
          "enum": [
            "LAYOUT_TYPE_UNSPECIFIED",
            "BLOCK",
            "PARAGRAPH",
            "LINE",
            "TOKEN",
            "VISUAL_ELEMENT",
            "TABLE",
            "FORM_FIELD"
          ],
          "description": "Optional. The type of the layout element that is being referenced if any.",
          "enumDescriptions": [
            "Layout Unspecified.",
            "References a Page.blocks element.",
            "References a Page.paragraphs element.",
            "References a Page.lines element.",
            "References a Page.tokens element.",
            "References a Page.visual_elements element.",
            "Refrrences a Page.tables element.",
            "References a Page.form_fields element."
          ]
        },
        "boundingPoly": {
          "description": "Optional. Identifies the bounding polygon of a layout element on the page.",
          "$ref": "GoogleCloudDocumentaiV1beta3BoundingPoly"
        },
        "page": {
          "type": "string",
          "description": "Required. Index into the Document.pages element",
          "format": "int64"
        },
        "layoutId": {
          "description": "Optional. Deprecated. Use PageRef.bounding_poly instead.",
          "type": "string"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta1DocumentProvenanceParent": {
      "properties": {
        "id": {
          "type": "integer",
          "format": "int32",
          "description": "The id of the parent provenance."
        },
        "revision": {
          "type": "integer",
          "description": "The index of the [Document.revisions] identifying the parent revision.",
          "format": "int32"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta1DocumentProvenanceParent",
      "description": "Structure for referencing parent provenances. When an element replaces one of more other elements parent references identify the elements that are replaced.",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta2DocumentEntity": {
      "id": "GoogleCloudDocumentaiV1beta2DocumentEntity",
      "description": "A phrase in the text that is a known entity type, such as a person, an organization, or location.",
      "properties": {
        "mentionText": {
          "description": "Text value in the document e.g. `1600 Amphitheatre Pkwy`.",
          "type": "string"
        },
        "provenance": {
          "description": "Optional. The history of this annotation.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentProvenance"
        },
        "confidence": {
          "description": "Optional. Confidence of detected Schema entity. Range [0, 1].",
          "format": "float",
          "type": "number"
        },
        "redacted": {
          "type": "boolean",
          "description": "Optional. Whether the entity will be redacted for de-identification purposes."
        },
        "properties": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentEntity"
          },
          "description": "Optional. Entities can be nested to form a hierarchical data structure representing the content in the document.",
          "type": "array"
        },
        "normalizedValue": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentEntityNormalizedValue",
          "description": "Optional. Normalized entity value. Absent if the extracted value could not be converted or the type (e.g. address) is not supported for certain parsers. This field is also only populated for certain supported document types."
        },
        "pageAnchor": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageAnchor",
          "description": "Optional. Represents the provenance of this entity wrt. the location on the page where it was found."
        },
        "mentionId": {
          "type": "string",
          "description": "Deprecated. Use `id` field instead."
        },
        "id": {
          "type": "string",
          "description": "Optional. Canonical id. This will be a unique value in the entity list for this document."
        },
        "textAnchor": {
          "description": "Provenance of the entity. Text anchor indexing into the Document.text.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentTextAnchor"
        },
        "type": {
          "description": "Entity type from a schema e.g. `Address`.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta2DocumentProvenance": {
      "description": "Structure to identify provenance relationships between annotations in different revisions.",
      "properties": {
        "revision": {
          "description": "The index of the revision that produced this element.",
          "format": "int32",
          "type": "integer"
        },
        "parents": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentProvenanceParent"
          },
          "description": "References to the original elements that are replaced.",
          "type": "array"
        },
        "id": {
          "type": "integer",
          "format": "int32",
          "description": "The Id of this operation. Needs to be unique within the scope of the revision."
        },
        "type": {
          "enumDescriptions": [
            "Operation type unspecified.",
            "Add an element. Implicit if no `parents` are set for the provenance.",
            "The element is removed. No `parents` should be set.",
            "Explicitly replaces the element(s) identified by `parents`.",
            "Element is requested for human review.",
            "Element is review and approved at human review, confidence will be set to 1.0"
          ],
          "type": "string",
          "description": "The type of provenance operation.",
          "enum": [
            "OPERATION_TYPE_UNSPECIFIED",
            "ADD",
            "REMOVE",
            "REPLACE",
            "EVAL_REQUESTED",
            "EVAL_APPROVED"
          ]
        }
      },
      "id": "GoogleCloudDocumentaiV1beta2DocumentProvenance",
      "type": "object"
    },
    "GoogleCloudDocumentaiUiv1beta3DeleteLabelerPoolOperationMetadata": {
      "id": "GoogleCloudDocumentaiUiv1beta3DeleteLabelerPoolOperationMetadata",
      "type": "object",
      "properties": {
        "updateTime": {
          "description": "The last update time of the operation.",
          "type": "string",
          "format": "google-datetime"
        },
        "state": {
          "enumDescriptions": [
            "Unspecified state.",
            "Operation is still running.",
            "Operation is being cancelled.",
            "Operation succeeded.",
            "Operation failed.",
            "Operation is cancelled."
          ],
          "type": "string",
          "description": "Used only when Operation.done is false.",
          "enum": [
            "STATE_UNSPECIFIED",
            "RUNNING",
            "CANCELLING",
            "SUCCEEDED",
            "FAILED",
            "CANCELLED"
          ]
        },
        "createTime": {
          "type": "string",
          "format": "google-datetime",
          "description": "The creation time of the operation."
        },
        "stateMessage": {
          "type": "string",
          "description": "A message providing more details about the current state of processing. For example, the error message if the operation is failed."
        }
      },
      "description": "The long running operation metadata for DeleteLabelerPool."
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageTableTableRow": {
      "type": "object",
      "properties": {
        "cells": {
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageTableTableCell"
          },
          "description": "Cells that make up this row."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageTableTableRow",
      "description": "A row of table cells."
    },
    "GoogleLongrunningOperation": {
      "description": "This resource represents a long-running operation that is the result of a network API call.",
      "id": "GoogleLongrunningOperation",
      "type": "object",
      "properties": {
        "error": {
          "$ref": "GoogleRpcStatus",
          "description": "The error result of the operation in case of failure or cancellation."
        },
        "metadata": {
          "type": "object",
          "additionalProperties": {
            "description": "Properties of the object. Contains field @type with type URL.",
            "type": "any"
          },
          "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any."
        },
        "response": {
          "description": "The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.",
          "type": "object",
          "additionalProperties": {
            "type": "any",
            "description": "Properties of the object. Contains field @type with type URL."
          }
        },
        "name": {
          "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.",
          "type": "string"
        },
        "done": {
          "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.",
          "type": "boolean"
        }
      }
    },
    "GoogleProtobufEmpty": {
      "id": "GoogleProtobufEmpty",
      "type": "object",
      "properties": {},
      "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for `Empty` is empty JSON object `{}`."
    },
    "GoogleCloudDocumentaiV1beta1DocumentPage": {
      "description": "A page in a Document.",
      "properties": {
        "image": {
          "description": "Rendered image for this page. This image is preprocessed to remove any skew, rotation, and distortions such that the annotation bounding boxes can be upright and axis-aligned.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageImage"
        },
        "layout": {
          "description": "Layout for the page.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageLayout"
        },
        "transforms": {
          "type": "array",
          "description": "Transformation matrices that were applied to the original document image to produce Page.image.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageMatrix"
          }
        },
        "formFields": {
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageFormField"
          },
          "description": "A list of visually detected form fields on the page."
        },
        "pageNumber": {
          "description": "1-based index for current Page in a parent Document. Useful when a page is taken out of a Document for individual processing.",
          "type": "integer",
          "format": "int32"
        },
        "paragraphs": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageParagraph"
          },
          "description": "A list of visually detected text paragraphs on the page. A collection of lines that a human would perceive as a paragraph.",
          "type": "array"
        },
        "blocks": {
          "type": "array",
          "description": "A list of visually detected text blocks on the page. A block has a set of lines (collected into paragraphs) that have a common line-spacing and orientation.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageBlock"
          }
        },
        "tables": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageTable"
          },
          "description": "A list of visually detected tables on the page.",
          "type": "array"
        },
        "visualElements": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageVisualElement"
          },
          "type": "array",
          "description": "A list of detected non-text visual elements e.g. checkbox, signature etc. on the page."
        },
        "tokens": {
          "description": "A list of visually detected tokens on the page.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageToken"
          },
          "type": "array"
        },
        "dimension": {
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageDimension",
          "description": "Physical dimension of the page."
        },
        "detectedLanguages": {
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage"
          },
          "description": "A list of detected languages together with confidence."
        },
        "lines": {
          "description": "A list of visually detected text lines on the page. A collection of tokens that a human would perceive as a line.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageLine"
          },
          "type": "array"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta1DocumentPage",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageParagraph": {
      "description": "A collection of lines that a human would perceive as a paragraph.",
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageParagraph",
      "properties": {
        "provenance": {
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentProvenance",
          "description": "The history of this annotation."
        },
        "detectedLanguages": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageDetectedLanguage"
          },
          "type": "array",
          "description": "A list of detected languages together with confidence."
        },
        "layout": {
          "description": "Layout for Paragraph.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageLayout"
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageTableTableCell": {
      "type": "object",
      "properties": {
        "detectedLanguages": {
          "description": "A list of detected languages together with confidence.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage"
          },
          "type": "array"
        },
        "rowSpan": {
          "format": "int32",
          "type": "integer",
          "description": "How many rows this cell spans."
        },
        "layout": {
          "description": "Layout for TableCell.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageLayout"
        },
        "colSpan": {
          "description": "How many columns this cell spans.",
          "type": "integer",
          "format": "int32"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageTableTableCell",
      "description": "A cell representation inside the table."
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageLayout": {
      "description": "Visual element describing a layout unit on a page.",
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageLayout",
      "type": "object",
      "properties": {
        "boundingPoly": {
          "description": "The bounding polygon for the Layout.",
          "$ref": "GoogleCloudDocumentaiV1beta2BoundingPoly"
        },
        "confidence": {
          "type": "number",
          "format": "float",
          "description": "Confidence of the current Layout within context of the object this layout is for. e.g. confidence can be for a single token, a table, a visual element, etc. depending on context. Range [0, 1]."
        },
        "orientation": {
          "enumDescriptions": [
            "Unspecified orientation.",
            "Orientation is aligned with page up.",
            "Orientation is aligned with page right. Turn the head 90 degrees clockwise from upright to read.",
            "Orientation is aligned with page down. Turn the head 180 degrees from upright to read.",
            "Orientation is aligned with page left. Turn the head 90 degrees counterclockwise from upright to read."
          ],
          "type": "string",
          "description": "Detected orientation for the Layout.",
          "enum": [
            "ORIENTATION_UNSPECIFIED",
            "PAGE_UP",
            "PAGE_RIGHT",
            "PAGE_DOWN",
            "PAGE_LEFT"
          ]
        },
        "textAnchor": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentTextAnchor",
          "description": "Text anchor indexing into the Document.text."
        }
      }
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage": {
      "type": "object",
      "description": "Detected language for a structural component.",
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage",
      "properties": {
        "confidence": {
          "format": "float",
          "type": "number",
          "description": "Confidence of detected language. Range [0, 1]."
        },
        "languageCode": {
          "type": "string",
          "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier."
        }
      }
    },
    "GoogleCloudDocumentaiV1beta1Vertex": {
      "description": "A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.",
      "id": "GoogleCloudDocumentaiV1beta1Vertex",
      "properties": {
        "x": {
          "description": "X coordinate.",
          "format": "int32",
          "type": "integer"
        },
        "y": {
          "type": "integer",
          "format": "int32",
          "description": "Y coordinate."
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta2DocumentLabel": {
      "id": "GoogleCloudDocumentaiV1beta2DocumentLabel",
      "properties": {
        "confidence": {
          "type": "number",
          "description": "Confidence score between 0 and 1 for label assignment.",
          "format": "float"
        },
        "name": {
          "type": "string",
          "description": "Name of the label. When the label is generated from AutoML Text Classification model, this field represents the name of the category."
        },
        "automlModel": {
          "type": "string",
          "description": "Label is generated AutoML model. This field stores the full resource name of the AutoML model. Format: `projects/{project-id}/locations/{location-id}/models/{model-id}`"
        }
      },
      "description": "Label attaches schema information and/or other metadata to segments within a Document. Multiple Labels on a single field can denote either different labels, different instances of the same label created at different times, or some combination of both.",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageFormField": {
      "type": "object",
      "description": "A form field detected on the page.",
      "properties": {
        "valueType": {
          "type": "string",
          "description": "If the value is non-textual, this field represents the type. Current valid values are: - blank (this indicates the field_value is normal text) - \"unfilled_checkbox\" - \"filled_checkbox\""
        },
        "valueDetectedLanguages": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageDetectedLanguage"
          },
          "type": "array",
          "description": "A list of detected languages for value together with confidence."
        },
        "nameDetectedLanguages": {
          "type": "array",
          "description": "A list of detected languages for name together with confidence.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageDetectedLanguage"
          }
        },
        "fieldName": {
          "description": "Layout for the FormField name. e.g. `Address`, `Email`, `Grand total`, `Phone number`, etc.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageLayout"
        },
        "fieldValue": {
          "description": "Layout for the FormField value.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageLayout"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageFormField"
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageImage": {
      "type": "object",
      "properties": {
        "width": {
          "type": "integer",
          "description": "Width of the image in pixels.",
          "format": "int32"
        },
        "height": {
          "description": "Height of the image in pixels.",
          "type": "integer",
          "format": "int32"
        },
        "content": {
          "type": "string",
          "description": "Raw byte content of the image.",
          "format": "byte"
        },
        "mimeType": {
          "type": "string",
          "description": "Encoding mime type for the image."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageImage",
      "description": "Rendered image contents for this page."
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageBlock": {
      "type": "object",
      "description": "A block has a set of lines (collected into paragraphs) that have a common line-spacing and orientation.",
      "properties": {
        "layout": {
          "description": "Layout for Block.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageLayout"
        },
        "provenance": {
          "description": "The history of this annotation.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentProvenance"
        },
        "detectedLanguages": {
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage"
          },
          "description": "A list of detected languages together with confidence."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageBlock"
    },
    "GoogleCloudDocumentaiV1beta1DocumentStyleFontSize": {
      "id": "GoogleCloudDocumentaiV1beta1DocumentStyleFontSize",
      "type": "object",
      "properties": {
        "unit": {
          "description": "Unit for the font size. Follows CSS naming (in, px, pt, etc.).",
          "type": "string"
        },
        "size": {
          "type": "number",
          "description": "Font size for the text.",
          "format": "float"
        }
      },
      "description": "Font size with unit."
    },
    "GoogleCloudDocumentaiUiv1beta3UpdateLabelerPoolOperationMetadata": {
      "id": "GoogleCloudDocumentaiUiv1beta3UpdateLabelerPoolOperationMetadata",
      "type": "object",
      "description": "The long running operation metadata for UpdateLabelerPool.",
      "properties": {
        "createTime": {
          "type": "string",
          "description": "The creation time of the operation.",
          "format": "google-datetime"
        },
        "stateMessage": {
          "description": "A message providing more details about the current state of processing. For example, the error message if the operation is failed.",
          "type": "string"
        },
        "updateTime": {
          "type": "string",
          "description": "The last update time of the operation.",
          "format": "google-datetime"
        },
        "state": {
          "enumDescriptions": [
            "Unspecified state.",
            "Operation is still running.",
            "Operation is being cancelled.",
            "Operation succeeded.",
            "Operation failed.",
            "Operation is cancelled."
          ],
          "enum": [
            "STATE_UNSPECIFIED",
            "RUNNING",
            "CANCELLING",
            "SUCCEEDED",
            "FAILED",
            "CANCELLED"
          ],
          "description": "Used only when Operation.done is false.",
          "type": "string"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageFormField": {
      "description": "A form field detected on the page.",
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageFormField",
      "properties": {
        "fieldValue": {
          "description": "Layout for the FormField value.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageLayout"
        },
        "nameDetectedLanguages": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage"
          },
          "description": "A list of detected languages for name together with confidence.",
          "type": "array"
        },
        "valueType": {
          "description": "If the value is non-textual, this field represents the type. Current valid values are: - blank (this indicates the field_value is normal text) - \"unfilled_checkbox\" - \"filled_checkbox\"",
          "type": "string"
        },
        "valueDetectedLanguages": {
          "type": "array",
          "description": "A list of detected languages for value together with confidence.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage"
          }
        },
        "fieldName": {
          "description": "Layout for the FormField name. e.g. `Address`, `Email`, `Grand total`, `Phone number`, etc.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageLayout"
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta2DocumentShardInfo": {
      "id": "GoogleCloudDocumentaiV1beta2DocumentShardInfo",
      "properties": {
        "textOffset": {
          "format": "int64",
          "description": "The index of the first character in Document.text in the overall document global text.",
          "type": "string"
        },
        "shardIndex": {
          "type": "string",
          "description": "The 0-based index of this shard.",
          "format": "int64"
        },
        "shardCount": {
          "description": "Total number of shards.",
          "format": "int64",
          "type": "string"
        }
      },
      "type": "object",
      "description": "For a large document, sharding may be performed to produce several document shards. Each document shard contains this field to detail which shard it is."
    },
    "GoogleCloudDocumentaiUiv1beta3CreateProcessorVersionMetadata": {
      "properties": {
        "createTime": {
          "type": "string",
          "format": "google-datetime",
          "description": "The creation time of the operation."
        },
        "state": {
          "enumDescriptions": [
            "The training state is unspecified.",
            "The training request has been issued but processing has not yet begun.",
            "The service is preparing to execute the training.",
            "The training is in progress.",
            "The training completed successfully.",
            "The training failed. `error` should contain the details of the failure.",
            "The training is being cancelled. `error` should describe the reason for the cancellation.",
            "The training has been cancelled. `error` should describe the reason for the cancellation."
          ],
          "type": "string",
          "description": "The state of the current disable processor operation.",
          "enum": [
            "STATE_UNSPECIFIED",
            "QUEUED",
            "PREPARING",
            "RUNNING",
            "SUCCEEDED",
            "FAILED",
            "CANCELLING",
            "CANCELLED"
          ]
        },
        "updateTime": {
          "description": "The last update time of the operation.",
          "format": "google-datetime",
          "type": "string"
        }
      },
      "id": "GoogleCloudDocumentaiUiv1beta3CreateProcessorVersionMetadata",
      "description": "The metadata that represents a processor version being created.",
      "type": "object"
    },
    "GoogleTypeDate": {
      "type": "object",
      "id": "GoogleTypeDate",
      "description": "Represents a whole or partial calendar date, e.g. a birthday. The time of day and time zone are either specified elsewhere or are not significant. The date is relative to the Proleptic Gregorian Calendar. This can represent: * A full date, with non-zero year, month and day values * A month and day value, with a zero year, e.g. an anniversary * A year on its own, with zero month and day values * A year and month value, with a zero day, e.g. a credit card expiration date Related types are google.type.TimeOfDay and `google.protobuf.Timestamp`.",
      "properties": {
        "month": {
          "format": "int32",
          "description": "Month of year. Must be from 1 to 12, or 0 if specifying a year without a month and day.",
          "type": "integer"
        },
        "day": {
          "description": "Day of month. Must be from 1 to 31 and valid for the year and month, or 0 if specifying a year by itself or a year and month where the day is not significant.",
          "type": "integer",
          "format": "int32"
        },
        "year": {
          "type": "integer",
          "format": "int32",
          "description": "Year of date. Must be from 1 to 9999, or 0 if specifying a date without a year."
        }
      }
    },
    "GoogleCloudDocumentaiUiv1beta3CreateLabelerPoolOperationMetadata": {
      "type": "object",
      "description": "The long running operation metadata for CreateLabelerPool.",
      "id": "GoogleCloudDocumentaiUiv1beta3CreateLabelerPoolOperationMetadata",
      "properties": {
        "createTime": {
          "type": "string",
          "description": "The creation time of the operation.",
          "format": "google-datetime"
        },
        "state": {
          "description": "Used only when Operation.done is false.",
          "type": "string",
          "enum": [
            "STATE_UNSPECIFIED",
            "RUNNING",
            "CANCELLING",
            "SUCCEEDED",
            "FAILED",
            "CANCELLED"
          ],
          "enumDescriptions": [
            "Unspecified state.",
            "Operation is still running.",
            "Operation is being cancelled.",
            "Operation succeeded.",
            "Operation failed.",
            "Operation is cancelled."
          ]
        },
        "stateMessage": {
          "type": "string",
          "description": "A message providing more details about the current state of processing. For example, the error message if the operation is failed."
        },
        "updateTime": {
          "format": "google-datetime",
          "description": "The last update time of the operation.",
          "type": "string"
        }
      }
    },
    "GoogleTypeDateTime": {
      "type": "object",
      "properties": {
        "timeZone": {
          "description": "Time zone.",
          "$ref": "GoogleTypeTimeZone"
        },
        "minutes": {
          "type": "integer",
          "format": "int32",
          "description": "Required. Minutes of hour of day. Must be from 0 to 59."
        },
        "utcOffset": {
          "description": "UTC offset. Must be whole seconds, between -18 hours and +18 hours. For example, a UTC offset of -4:00 would be represented as { seconds: -14400 }.",
          "format": "google-duration",
          "type": "string"
        },
        "year": {
          "type": "integer",
          "description": "Optional. Year of date. Must be from 1 to 9999, or 0 if specifying a datetime without a year.",
          "format": "int32"
        },
        "seconds": {
          "type": "integer",
          "description": "Required. Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.",
          "format": "int32"
        },
        "month": {
          "description": "Required. Month of year. Must be from 1 to 12.",
          "format": "int32",
          "type": "integer"
        },
        "hours": {
          "type": "integer",
          "format": "int32",
          "description": "Required. Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value \"24:00:00\" for scenarios like business closing time."
        },
        "day": {
          "format": "int32",
          "description": "Required. Day of month. Must be from 1 to 31 and valid for the year and month.",
          "type": "integer"
        },
        "nanos": {
          "format": "int32",
          "description": "Required. Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.",
          "type": "integer"
        }
      },
      "description": "Represents civil time in one of a few possible ways: * When utc_offset is set and time_zone is unset: a civil time on a calendar day with a particular offset from UTC. * When time_zone is set and utc_offset is unset: a civil time on a calendar day in a particular time zone. * When neither time_zone nor utc_offset is set: a civil time on a calendar day in local time. The date is relative to the Proleptic Gregorian Calendar. If year is 0, the DateTime is considered not to have a specific year. month and day must have valid, non-zero values. This type is more flexible than some applications may want. Make sure to document and validate your application's limitations.",
      "id": "GoogleTypeDateTime"
    },
    "GoogleCloudDocumentaiV1beta2ProcessDocumentResponse": {
      "properties": {
        "outputConfig": {
          "description": "The output location of the parsed responses. The responses are written to this location as JSON-serialized `Document` objects.",
          "$ref": "GoogleCloudDocumentaiV1beta2OutputConfig"
        },
        "inputConfig": {
          "$ref": "GoogleCloudDocumentaiV1beta2InputConfig",
          "description": "Information about the input file. This is the same as the corresponding input config in the request."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta2ProcessDocumentResponse",
      "description": "Response to a single document processing request.",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta3DocumentEntityRelation": {
      "type": "object",
      "properties": {
        "relation": {
          "description": "Relationship description.",
          "type": "string"
        },
        "objectId": {
          "type": "string",
          "description": "Object entity id."
        },
        "subjectId": {
          "description": "Subject entity id.",
          "type": "string"
        }
      },
      "description": "Relationship between Entities.",
      "id": "GoogleCloudDocumentaiV1beta3DocumentEntityRelation"
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageParagraph": {
      "description": "A collection of lines that a human would perceive as a paragraph.",
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageParagraph",
      "properties": {
        "layout": {
          "description": "Layout for Paragraph.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageLayout"
        },
        "provenance": {
          "description": "The history of this annotation.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentProvenance"
        },
        "detectedLanguages": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage"
          },
          "type": "array",
          "description": "A list of detected languages together with confidence."
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta2OutputConfig": {
      "description": "The desired output location and metadata.",
      "id": "GoogleCloudDocumentaiV1beta2OutputConfig",
      "type": "object",
      "properties": {
        "gcsDestination": {
          "description": "The Google Cloud Storage location to write the output to.",
          "$ref": "GoogleCloudDocumentaiV1beta2GcsDestination"
        },
        "pagesPerShard": {
          "format": "int32",
          "description": "The max number of pages to include into each output Document shard JSON on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 parsed pages will be produced. If `pages_per_shard` = 20, then 5 Document shard JSON files each containing 20 parsed pages will be written under the prefix OutputConfig.gcs_destination.uri and suffix pages-x-to-y.json where x and y are 1-indexed page numbers. Example GCS outputs with 157 pages and pages_per_shard = 50: pages-001-to-050.json pages-051-to-100.json pages-101-to-150.json pages-151-to-157.json",
          "type": "integer"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta1NormalizedVertex": {
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta1NormalizedVertex",
      "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.",
      "properties": {
        "y": {
          "description": "Y coordinate.",
          "format": "float",
          "type": "number"
        },
        "x": {
          "description": "X coordinate.",
          "type": "number",
          "format": "float"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageTable": {
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageTable",
      "type": "object",
      "description": "A table representation similar to HTML table structure.",
      "properties": {
        "headerRows": {
          "description": "Header rows of the table.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageTableTableRow"
          }
        },
        "layout": {
          "description": "Layout for Table.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageLayout"
        },
        "bodyRows": {
          "type": "array",
          "description": "Body rows of the table.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageTableTableRow"
          }
        },
        "detectedLanguages": {
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage"
          },
          "description": "A list of detected languages together with confidence."
        }
      }
    },
    "GoogleCloudDocumentaiV1beta3BatchProcessResponse": {
      "description": "Response message for batch process document method.",
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta3BatchProcessResponse",
      "properties": {}
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageLine": {
      "properties": {
        "provenance": {
          "description": "The history of this annotation.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentProvenance"
        },
        "layout": {
          "description": "Layout for Line.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageLayout"
        },
        "detectedLanguages": {
          "description": "A list of detected languages together with confidence.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage"
          },
          "type": "array"
        }
      },
      "description": "A collection of tokens that a human would perceive as a line. Does not cross column boundaries, can be horizontal, vertical, etc.",
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageLine",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta1InputConfig": {
      "id": "GoogleCloudDocumentaiV1beta1InputConfig",
      "type": "object",
      "description": "The desired input location and metadata.",
      "properties": {
        "gcsSource": {
          "description": "The Google Cloud Storage location to read the input from. This must be a single file.",
          "$ref": "GoogleCloudDocumentaiV1beta1GcsSource"
        },
        "mimeType": {
          "description": "Required. Mimetype of the input. Current supported mimetypes are application/pdf, image/tiff, and image/gif. In addition, application/json type is supported for requests with ProcessDocumentRequest.automl_params field set. The JSON file needs to be in Document format.",
          "type": "string"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageVisualElement": {
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageVisualElement",
      "type": "object",
      "description": "Detected non-text visual elements e.g. checkbox, signature etc. on the page.",
      "properties": {
        "layout": {
          "description": "Layout for VisualElement.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageLayout"
        },
        "type": {
          "type": "string",
          "description": "Type of the VisualElement."
        },
        "detectedLanguages": {
          "description": "A list of detected languages together with confidence.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageDetectedLanguage"
          },
          "type": "array"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta2Vertex": {
      "properties": {
        "y": {
          "format": "int32",
          "description": "Y coordinate.",
          "type": "integer"
        },
        "x": {
          "description": "X coordinate.",
          "format": "int32",
          "type": "integer"
        }
      },
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta2Vertex",
      "description": "A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image."
    },
    "GoogleCloudDocumentaiV1beta3DocumentPage": {
      "type": "object",
      "properties": {
        "transforms": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageMatrix"
          },
          "description": "Transformation matrices that were applied to the original document image to produce Page.image.",
          "type": "array"
        },
        "image": {
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageImage",
          "description": "Rendered image for this page. This image is preprocessed to remove any skew, rotation, and distortions such that the annotation bounding boxes can be upright and axis-aligned."
        },
        "tables": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageTable"
          },
          "description": "A list of visually detected tables on the page.",
          "type": "array"
        },
        "lines": {
          "description": "A list of visually detected text lines on the page. A collection of tokens that a human would perceive as a line.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageLine"
          },
          "type": "array"
        },
        "tokens": {
          "description": "A list of visually detected tokens on the page.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageToken"
          }
        },
        "layout": {
          "description": "Layout for the page.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageLayout"
        },
        "detectedLanguages": {
          "type": "array",
          "description": "A list of detected languages together with confidence.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageDetectedLanguage"
          }
        },
        "dimension": {
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageDimension",
          "description": "Physical dimension of the page."
        },
        "visualElements": {
          "type": "array",
          "description": "A list of detected non-text visual elements e.g. checkbox, signature etc. on the page.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageVisualElement"
          }
        },
        "formFields": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageFormField"
          },
          "description": "A list of visually detected form fields on the page.",
          "type": "array"
        },
        "pageNumber": {
          "format": "int32",
          "description": "1-based index for current Page in a parent Document. Useful when a page is taken out of a Document for individual processing.",
          "type": "integer"
        },
        "paragraphs": {
          "description": "A list of visually detected text paragraphs on the page. A collection of lines that a human would perceive as a paragraph.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageParagraph"
          }
        },
        "blocks": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageBlock"
          },
          "type": "array",
          "description": "A list of visually detected text blocks on the page. A block has a set of lines (collected into paragraphs) that have a common line-spacing and orientation."
        }
      },
      "description": "A page in a Document.",
      "id": "GoogleCloudDocumentaiV1beta3DocumentPage"
    },
    "GoogleCloudDocumentaiV1beta3Document": {
      "id": "GoogleCloudDocumentaiV1beta3Document",
      "type": "object",
      "properties": {
        "entities": {
          "description": "A list of entities detected on Document.text. For document shards, entities in this list may cross shard boundaries.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentEntity"
          },
          "type": "array"
        },
        "text": {
          "type": "string",
          "description": "UTF-8 encoded text in reading order from the document."
        },
        "entityRelations": {
          "description": "Relationship among Document.entities.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentEntityRelation"
          },
          "type": "array"
        },
        "textChanges": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentTextChange"
          },
          "type": "array",
          "description": "A list of text corrections made to [Document.text]. This is usually used for annotating corrections to OCR mistakes. Text changes for a given revision may not overlap with each other."
        },
        "revisions": {
          "type": "array",
          "description": "Revision history of this document.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentRevision"
          }
        },
        "textStyles": {
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentStyle"
          },
          "description": "Styles for the Document.text."
        },
        "content": {
          "description": "Inline document content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64.",
          "type": "string",
          "format": "byte"
        },
        "translations": {
          "description": "A list of translations on Document.text. For document shards, translations in this list may cross shard boundaries.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentTranslation"
          }
        },
        "uri": {
          "type": "string",
          "description": "Currently supports Google Cloud Storage URI of the form `gs://bucket_name/object_name`. Object versioning is not supported. See [Google Cloud Storage Request URIs](https://cloud.google.com/storage/docs/reference-uris) for more info."
        },
        "mimeType": {
          "type": "string",
          "description": "An IANA published MIME type (also referred to as media type). For more information, see https://www.iana.org/assignments/media-types/media-types.xhtml."
        },
        "error": {
          "description": "Any error that occurred while processing this document.",
          "$ref": "GoogleRpcStatus"
        },
        "pages": {
          "description": "Visual page layout for the Document.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPage"
          }
        },
        "shardInfo": {
          "description": "Information about the sharding if this document is sharded part of a larger document. If the document is not sharded, this message is not specified.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentShardInfo"
        }
      },
      "description": "Document represents the canonical document resource in Document Understanding AI. It is an interchange format that provides insights into documents and allows for collaboration between users and Document Understanding AI to iterate and optimize for quality."
    },
    "GoogleCloudDocumentaiV1beta2DocumentTextAnchorTextSegment": {
      "description": "A text segment in the Document.text. The indices may be out of bounds which indicate that the text extends into another document shard for large sharded documents. See ShardInfo.text_offset",
      "properties": {
        "startIndex": {
          "description": "TextSegment start UTF-8 char index in the Document.text.",
          "format": "int64",
          "type": "string"
        },
        "endIndex": {
          "type": "string",
          "description": "TextSegment half open end UTF-8 char index in the Document.text.",
          "format": "int64"
        }
      },
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta2DocumentTextAnchorTextSegment"
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageLine": {
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageLine",
      "description": "A collection of tokens that a human would perceive as a line. Does not cross column boundaries, can be horizontal, vertical, etc.",
      "properties": {
        "layout": {
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageLayout",
          "description": "Layout for Line."
        },
        "provenance": {
          "description": "The history of this annotation.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentProvenance"
        },
        "detectedLanguages": {
          "type": "array",
          "description": "A list of detected languages together with confidence.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage"
          }
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta2DocumentPage": {
      "description": "A page in a Document.",
      "properties": {
        "blocks": {
          "type": "array",
          "description": "A list of visually detected text blocks on the page. A block has a set of lines (collected into paragraphs) that have a common line-spacing and orientation.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageBlock"
          }
        },
        "layout": {
          "description": "Layout for the page.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageLayout"
        },
        "detectedLanguages": {
          "type": "array",
          "description": "A list of detected languages together with confidence.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage"
          }
        },
        "tokens": {
          "description": "A list of visually detected tokens on the page.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageToken"
          }
        },
        "tables": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageTable"
          },
          "description": "A list of visually detected tables on the page.",
          "type": "array"
        },
        "dimension": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageDimension",
          "description": "Physical dimension of the page."
        },
        "visualElements": {
          "description": "A list of detected non-text visual elements e.g. checkbox, signature etc. on the page.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageVisualElement"
          }
        },
        "transforms": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageMatrix"
          },
          "type": "array",
          "description": "Transformation matrices that were applied to the original document image to produce Page.image."
        },
        "formFields": {
          "description": "A list of visually detected form fields on the page.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageFormField"
          },
          "type": "array"
        },
        "lines": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageLine"
          },
          "type": "array",
          "description": "A list of visually detected text lines on the page. A collection of tokens that a human would perceive as a line."
        },
        "pageNumber": {
          "type": "integer",
          "format": "int32",
          "description": "1-based index for current Page in a parent Document. Useful when a page is taken out of a Document for individual processing."
        },
        "image": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageImage",
          "description": "Rendered image for this page. This image is preprocessed to remove any skew, rotation, and distortions such that the annotation bounding boxes can be upright and axis-aligned."
        },
        "paragraphs": {
          "description": "A list of visually detected text paragraphs on the page. A collection of lines that a human would perceive as a paragraph.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageParagraph"
          }
        }
      },
      "id": "GoogleCloudDocumentaiV1beta2DocumentPage",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta2DocumentStyleFontSize": {
      "description": "Font size with unit.",
      "properties": {
        "size": {
          "description": "Font size for the text.",
          "type": "number",
          "format": "float"
        },
        "unit": {
          "description": "Unit for the font size. Follows CSS naming (in, px, pt, etc.).",
          "type": "string"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta2DocumentStyleFontSize",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageDimension": {
      "description": "Dimension for the page.",
      "type": "object",
      "properties": {
        "height": {
          "format": "float",
          "description": "Page height.",
          "type": "number"
        },
        "width": {
          "description": "Page width.",
          "format": "float",
          "type": "number"
        },
        "unit": {
          "description": "Dimension unit.",
          "type": "string"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageDimension"
    },
    "GoogleCloudDocumentaiV1beta3DocumentProvenanceParent": {
      "properties": {
        "revision": {
          "format": "int32",
          "type": "integer",
          "description": "The index of the [Document.revisions] identifying the parent revision."
        },
        "id": {
          "description": "The id of the parent provenance.",
          "format": "int32",
          "type": "integer"
        }
      },
      "description": "Structure for referencing parent provenances. When an element replaces one of more other elements parent references identify the elements that are replaced.",
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta3DocumentProvenanceParent"
    },
    "GoogleCloudDocumentaiV1beta1DocumentEntity": {
      "type": "object",
      "properties": {
        "mentionText": {
          "description": "Text value in the document e.g. `1600 Amphitheatre Pkwy`.",
          "type": "string"
        },
        "pageAnchor": {
          "description": "Optional. Represents the provenance of this entity wrt. the location on the page where it was found.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageAnchor"
        },
        "mentionId": {
          "description": "Deprecated. Use `id` field instead.",
          "type": "string"
        },
        "id": {
          "type": "string",
          "description": "Optional. Canonical id. This will be a unique value in the entity list for this document."
        },
        "redacted": {
          "description": "Optional. Whether the entity will be redacted for de-identification purposes.",
          "type": "boolean"
        },
        "type": {
          "description": "Entity type from a schema e.g. `Address`.",
          "type": "string"
        },
        "textAnchor": {
          "description": "Provenance of the entity. Text anchor indexing into the Document.text.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentTextAnchor"
        },
        "normalizedValue": {
          "description": "Optional. Normalized entity value. Absent if the extracted value could not be converted or the type (e.g. address) is not supported for certain parsers. This field is also only populated for certain supported document types.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentEntityNormalizedValue"
        },
        "confidence": {
          "format": "float",
          "type": "number",
          "description": "Optional. Confidence of detected Schema entity. Range [0, 1]."
        },
        "provenance": {
          "description": "Optional. The history of this annotation.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentProvenance"
        },
        "properties": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentEntity"
          },
          "description": "Optional. Entities can be nested to form a hierarchical data structure representing the content in the document.",
          "type": "array"
        }
      },
      "description": "A phrase in the text that is a known entity type, such as a person, an organization, or location.",
      "id": "GoogleCloudDocumentaiV1beta1DocumentEntity"
    },
    "GoogleTypeMoney": {
      "description": "Represents an amount of money with its currency type.",
      "type": "object",
      "id": "GoogleTypeMoney",
      "properties": {
        "units": {
          "description": "The whole units of the amount. For example if `currencyCode` is `\"USD\"`, then 1 unit is one US dollar.",
          "format": "int64",
          "type": "string"
        },
        "currencyCode": {
          "description": "The 3-letter currency code defined in ISO 4217.",
          "type": "string"
        },
        "nanos": {
          "type": "integer",
          "description": "Number of nano (10^-9) units of the amount. The value must be between -999,999,999 and +999,999,999 inclusive. If `units` is positive, `nanos` must be positive or zero. If `units` is zero, `nanos` can be positive, zero, or negative. If `units` is negative, `nanos` must be negative or zero. For example $-1.75 is represented as `units`=-1 and `nanos`=-750,000,000.",
          "format": "int32"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageLayout": {
      "properties": {
        "textAnchor": {
          "description": "Text anchor indexing into the Document.text.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentTextAnchor"
        },
        "boundingPoly": {
          "description": "The bounding polygon for the Layout.",
          "$ref": "GoogleCloudDocumentaiV1beta3BoundingPoly"
        },
        "orientation": {
          "enum": [
            "ORIENTATION_UNSPECIFIED",
            "PAGE_UP",
            "PAGE_RIGHT",
            "PAGE_DOWN",
            "PAGE_LEFT"
          ],
          "description": "Detected orientation for the Layout.",
          "type": "string",
          "enumDescriptions": [
            "Unspecified orientation.",
            "Orientation is aligned with page up.",
            "Orientation is aligned with page right. Turn the head 90 degrees clockwise from upright to read.",
            "Orientation is aligned with page down. Turn the head 180 degrees from upright to read.",
            "Orientation is aligned with page left. Turn the head 90 degrees counterclockwise from upright to read."
          ]
        },
        "confidence": {
          "format": "float",
          "description": "Confidence of the current Layout within context of the object this layout is for. e.g. confidence can be for a single token, a table, a visual element, etc. depending on context. Range [0, 1].",
          "type": "number"
        }
      },
      "type": "object",
      "description": "Visual element describing a layout unit on a page.",
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageLayout"
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageTableTableRow": {
      "properties": {
        "cells": {
          "type": "array",
          "description": "Cells that make up this row.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageTableTableCell"
          }
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageTableTableRow",
      "type": "object",
      "description": "A row of table cells."
    },
    "GoogleCloudDocumentaiV1beta1OutputConfig": {
      "id": "GoogleCloudDocumentaiV1beta1OutputConfig",
      "type": "object",
      "properties": {
        "gcsDestination": {
          "description": "The Google Cloud Storage location to write the output to.",
          "$ref": "GoogleCloudDocumentaiV1beta1GcsDestination"
        },
        "pagesPerShard": {
          "type": "integer",
          "description": "The max number of pages to include into each output Document shard JSON on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 parsed pages will be produced. If `pages_per_shard` = 20, then 5 Document shard JSON files each containing 20 parsed pages will be written under the prefix OutputConfig.gcs_destination.uri and suffix pages-x-to-y.json where x and y are 1-indexed page numbers. Example GCS outputs with 157 pages and pages_per_shard = 50: pages-001-to-050.json pages-051-to-100.json pages-101-to-150.json pages-151-to-157.json",
          "format": "int32"
        }
      },
      "description": "The desired output location and metadata."
    },
    "GoogleCloudDocumentaiV1beta2DocumentEntityNormalizedValue": {
      "type": "object",
      "properties": {
        "text": {
          "type": "string",
          "description": "Required. Normalized entity value stored as a string. This field is populated for supported document type (e.g. Invoice). For some entity types, one of respective 'structured_value' fields may also be populated. - Money/Currency type (`money_value`) is in the ISO 4217 text format. - Date type (`date_value`) is in the ISO 8601 text format. - Datetime type (`datetime_value`) is in the ISO 8601 text format."
        },
        "moneyValue": {
          "$ref": "GoogleTypeMoney",
          "description": "Money value. See also: https: //github.com/googleapis/googleapis/blob/ // master/google/type/money.proto"
        },
        "dateValue": {
          "description": "Date value. Includes year, month, day. See also: https: //github.com/googleapis/googleapis/blob/master/google/type/date.proto",
          "$ref": "GoogleTypeDate"
        },
        "datetimeValue": {
          "$ref": "GoogleTypeDateTime",
          "description": "DateTime value. Includes date, time, and timezone. See also: https: //github.com/googleapis/googleapis/blob/ // master/google/type/datetime.proto"
        },
        "addressValue": {
          "$ref": "GoogleTypePostalAddress",
          "description": "Postal address. See also: https: //github.com/googleapis/googleapis/blob/ // master/google/type/postal_address.proto"
        }
      },
      "description": "Parsed and normalized entity value.",
      "id": "GoogleCloudDocumentaiV1beta2DocumentEntityNormalizedValue"
    },
    "GoogleCloudDocumentaiV1beta2BoundingPoly": {
      "id": "GoogleCloudDocumentaiV1beta2BoundingPoly",
      "description": "A bounding polygon for the detected image annotation.",
      "properties": {
        "vertices": {
          "type": "array",
          "description": "The bounding polygon vertices.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2Vertex"
          }
        },
        "normalizedVertices": {
          "type": "array",
          "description": "The bounding polygon normalized vertices.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2NormalizedVertex"
          }
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta2DocumentProvenanceParent": {
      "id": "GoogleCloudDocumentaiV1beta2DocumentProvenanceParent",
      "properties": {
        "revision": {
          "format": "int32",
          "description": "The index of the [Document.revisions] identifying the parent revision.",
          "type": "integer"
        },
        "id": {
          "format": "int32",
          "type": "integer",
          "description": "The id of the parent provenance."
        }
      },
      "description": "Structure for referencing parent provenances. When an element replaces one of more other elements parent references identify the elements that are replaced.",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta3DocumentEntityNormalizedValue": {
      "type": "object",
      "description": "Parsed and normalized entity value.",
      "properties": {
        "moneyValue": {
          "$ref": "GoogleTypeMoney",
          "description": "Money value. See also: https: //github.com/googleapis/googleapis/blob/ // master/google/type/money.proto"
        },
        "datetimeValue": {
          "$ref": "GoogleTypeDateTime",
          "description": "DateTime value. Includes date, time, and timezone. See also: https: //github.com/googleapis/googleapis/blob/ // master/google/type/datetime.proto"
        },
        "addressValue": {
          "$ref": "GoogleTypePostalAddress",
          "description": "Postal address. See also: https: //github.com/googleapis/googleapis/blob/ // master/google/type/postal_address.proto"
        },
        "dateValue": {
          "description": "Date value. Includes year, month, day. See also: https: //github.com/googleapis/googleapis/blob/master/google/type/date.proto",
          "$ref": "GoogleTypeDate"
        },
        "text": {
          "description": "Required. Normalized entity value stored as a string. This field is populated for supported document type (e.g. Invoice). For some entity types, one of respective 'structured_value' fields may also be populated. - Money/Currency type (`money_value`) is in the ISO 4217 text format. - Date type (`date_value`) is in the ISO 8601 text format. - Datetime type (`datetime_value`) is in the ISO 8601 text format.",
          "type": "string"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentEntityNormalizedValue"
    },
    "GoogleCloudDocumentaiV1beta1DocumentRevisionHumanReview": {
      "description": "Human Review information of the document.",
      "id": "GoogleCloudDocumentaiV1beta1DocumentRevisionHumanReview",
      "type": "object",
      "properties": {
        "state": {
          "description": "Human review state. e.g. `requested`, `succeeded`, `rejected`.",
          "type": "string"
        },
        "stateMessage": {
          "type": "string",
          "description": "A message providing more details about the current state of processing. For example, the rejection reason when the state is `rejected`."
        }
      }
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageVisualElement": {
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageVisualElement",
      "properties": {
        "type": {
          "description": "Type of the VisualElement.",
          "type": "string"
        },
        "layout": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageLayout",
          "description": "Layout for VisualElement."
        },
        "detectedLanguages": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage"
          },
          "description": "A list of detected languages together with confidence.",
          "type": "array"
        }
      },
      "description": "Detected non-text visual elements e.g. checkbox, signature etc. on the page.",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta3ReviewDocumentResponse": {
      "description": "Response message for review document method.",
      "type": "object",
      "properties": {
        "gcsDestination": {
          "type": "string",
          "description": "The Cloud Storage uri for the human reviewed document."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3ReviewDocumentResponse"
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageLayout": {
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageLayout",
      "properties": {
        "textAnchor": {
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentTextAnchor",
          "description": "Text anchor indexing into the Document.text."
        },
        "confidence": {
          "type": "number",
          "format": "float",
          "description": "Confidence of the current Layout within context of the object this layout is for. e.g. confidence can be for a single token, a table, a visual element, etc. depending on context. Range [0, 1]."
        },
        "orientation": {
          "type": "string",
          "enumDescriptions": [
            "Unspecified orientation.",
            "Orientation is aligned with page up.",
            "Orientation is aligned with page right. Turn the head 90 degrees clockwise from upright to read.",
            "Orientation is aligned with page down. Turn the head 180 degrees from upright to read.",
            "Orientation is aligned with page left. Turn the head 90 degrees counterclockwise from upright to read."
          ],
          "description": "Detected orientation for the Layout.",
          "enum": [
            "ORIENTATION_UNSPECIFIED",
            "PAGE_UP",
            "PAGE_RIGHT",
            "PAGE_DOWN",
            "PAGE_LEFT"
          ]
        },
        "boundingPoly": {
          "$ref": "GoogleCloudDocumentaiV1beta1BoundingPoly",
          "description": "The bounding polygon for the Layout."
        }
      },
      "description": "Visual element describing a layout unit on a page.",
      "type": "object"
    },
    "GoogleTypeColor": {
      "type": "object",
      "description": "Represents a color in the RGBA color space. This representation is designed for simplicity of conversion to/from color representations in various languages over compactness; for example, the fields of this representation can be trivially provided to the constructor of \"java.awt.Color\" in Java; it can also be trivially provided to UIColor's \"+colorWithRed:green:blue:alpha\" method in iOS; and, with just a little work, it can be easily formatted into a CSS \"rgba()\" string in JavaScript, as well. Note: this proto does not carry information about the absolute color space that should be used to interpret the RGB value (e.g. sRGB, Adobe RGB, DCI-P3, BT.2020, etc.). By default, applications SHOULD assume the sRGB color space. Note: when color equality needs to be decided, implementations, unless documented otherwise, will treat two colors to be equal if all their red, green, blue and alpha values each differ by at most 1e-5. Example (Java): import com.google.type.Color; // ... public static java.awt.Color fromProto(Color protocolor) { float alpha = protocolor.hasAlpha() ? protocolor.getAlpha().getValue() : 1.0; return new java.awt.Color( protocolor.getRed(), protocolor.getGreen(), protocolor.getBlue(), alpha); } public static Color toProto(java.awt.Color color) { float red = (float) color.getRed(); float green = (float) color.getGreen(); float blue = (float) color.getBlue(); float denominator = 255.0; Color.Builder resultBuilder = Color .newBuilder() .setRed(red / denominator) .setGreen(green / denominator) .setBlue(blue / denominator); int alpha = color.getAlpha(); if (alpha != 255) { result.setAlpha( FloatValue .newBuilder() .setValue(((float) alpha) / denominator) .build()); } return resultBuilder.build(); } // ... Example (iOS / Obj-C): // ... static UIColor* fromProto(Color* protocolor) { float red = [protocolor red]; float green = [protocolor green]; float blue = [protocolor blue]; FloatValue* alpha_wrapper = [protocolor alpha]; float alpha = 1.0; if (alpha_wrapper != nil) { alpha = [alpha_wrapper value]; } return [UIColor colorWithRed:red green:green blue:blue alpha:alpha]; } static Color* toProto(UIColor* color) { CGFloat red, green, blue, alpha; if (![color getRed:&red green:&green blue:&blue alpha:&alpha]) { return nil; } Color* result = [[Color alloc] init]; [result setRed:red]; [result setGreen:green]; [result setBlue:blue]; if (alpha \u003c= 0.9999) { [result setAlpha:floatWrapperWithValue(alpha)]; } [result autorelease]; return result; } // ... Example (JavaScript): // ... var protoToCssColor = function(rgb_color) { var redFrac = rgb_color.red || 0.0; var greenFrac = rgb_color.green || 0.0; var blueFrac = rgb_color.blue || 0.0; var red = Math.floor(redFrac * 255); var green = Math.floor(greenFrac * 255); var blue = Math.floor(blueFrac * 255); if (!('alpha' in rgb_color)) { return rgbToCssColor_(red, green, blue); } var alphaFrac = rgb_color.alpha.value || 0.0; var rgbParams = [red, green, blue].join(','); return ['rgba(', rgbParams, ',', alphaFrac, ')'].join(''); }; var rgbToCssColor_ = function(red, green, blue) { var rgbNumber = new Number((red \u003c\u003c 16) | (green \u003c\u003c 8) | blue); var hexString = rgbNumber.toString(16); var missingZeros = 6 - hexString.length; var resultBuilder = ['#']; for (var i = 0; i \u003c missingZeros; i++) { resultBuilder.push('0'); } resultBuilder.push(hexString); return resultBuilder.join(''); }; // ...",
      "id": "GoogleTypeColor",
      "properties": {
        "red": {
          "type": "number",
          "format": "float",
          "description": "The amount of red in the color as a value in the interval [0, 1]."
        },
        "blue": {
          "type": "number",
          "format": "float",
          "description": "The amount of blue in the color as a value in the interval [0, 1]."
        },
        "alpha": {
          "type": "number",
          "description": "The fraction of this color that should be applied to the pixel. That is, the final pixel color is defined by the equation: pixel color = alpha * (this color) + (1.0 - alpha) * (background color) This means that a value of 1.0 corresponds to a solid color, whereas a value of 0.0 corresponds to a completely transparent color. This uses a wrapper message rather than a simple float scalar so that it is possible to distinguish between a default value and the value being unset. If omitted, this color object is to be rendered as a solid color (as if the alpha value had been explicitly given with a value of 1.0).",
          "format": "float"
        },
        "green": {
          "description": "The amount of green in the color as a value in the interval [0, 1].",
          "type": "number",
          "format": "float"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta3ReviewDocumentOperationMetadata": {
      "description": "The long running operation metadata for review document method.",
      "id": "GoogleCloudDocumentaiV1beta3ReviewDocumentOperationMetadata",
      "type": "object",
      "properties": {
        "state": {
          "type": "string",
          "enumDescriptions": [
            "Unspecified state.",
            "Operation is still running.",
            "Operation is being cancelled.",
            "Operation succeeded.",
            "Operation failed.",
            "Operation is cancelled."
          ],
          "enum": [
            "STATE_UNSPECIFIED",
            "RUNNING",
            "CANCELLING",
            "SUCCEEDED",
            "FAILED",
            "CANCELLED"
          ],
          "description": "Used only when Operation.done is false."
        },
        "stateMessage": {
          "description": "A message providing more details about the current state of processing. For example, the error message if the operation is failed.",
          "type": "string"
        },
        "updateTime": {
          "format": "google-datetime",
          "description": "The last update time of the operation.",
          "type": "string"
        },
        "createTime": {
          "description": "The creation time of the operation.",
          "type": "string",
          "format": "google-datetime"
        }
      }
    },
    "GoogleCloudDocumentaiUiv1beta3DisableProcessorResponse": {
      "properties": {},
      "type": "object",
      "id": "GoogleCloudDocumentaiUiv1beta3DisableProcessorResponse",
      "description": "Response message for the disable processor method. Intentionally empty proto for adding fields in future."
    },
    "GoogleCloudDocumentaiV1beta3DocumentTextAnchorTextSegment": {
      "properties": {
        "startIndex": {
          "description": "TextSegment start UTF-8 char index in the Document.text.",
          "format": "int64",
          "type": "string"
        },
        "endIndex": {
          "description": "TextSegment half open end UTF-8 char index in the Document.text.",
          "type": "string",
          "format": "int64"
        }
      },
      "type": "object",
      "description": "A text segment in the Document.text. The indices may be out of bounds which indicate that the text extends into another document shard for large sharded documents. See ShardInfo.text_offset",
      "id": "GoogleCloudDocumentaiV1beta3DocumentTextAnchorTextSegment"
    },
    "GoogleCloudDocumentaiV1beta2DocumentEntityRelation": {
      "type": "object",
      "description": "Relationship between Entities.",
      "properties": {
        "subjectId": {
          "type": "string",
          "description": "Subject entity id."
        },
        "relation": {
          "type": "string",
          "description": "Relationship description."
        },
        "objectId": {
          "description": "Object entity id.",
          "type": "string"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta2DocumentEntityRelation"
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageTable": {
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageTable",
      "properties": {
        "headerRows": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageTableTableRow"
          },
          "description": "Header rows of the table.",
          "type": "array"
        },
        "layout": {
          "description": "Layout for Table.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageLayout"
        },
        "bodyRows": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageTableTableRow"
          },
          "type": "array",
          "description": "Body rows of the table."
        },
        "detectedLanguages": {
          "type": "array",
          "description": "A list of detected languages together with confidence.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageDetectedLanguage"
          }
        }
      },
      "description": "A table representation similar to HTML table structure.",
      "type": "object"
    },
    "GoogleCloudDocumentaiUiv1beta3EnableProcessorMetadata": {
      "properties": {
        "updateTime": {
          "format": "google-datetime",
          "description": "The last update time of the operation.",
          "type": "string"
        },
        "stateMessage": {
          "type": "string",
          "description": "A message providing more details about the current state of processing. For example, the error message if the operation is failed."
        },
        "state": {
          "description": "The state of the current enable processor operation.",
          "enum": [
            "STATE_UNSPECIFIED",
            "WAITING",
            "RUNNING",
            "SUCCEEDED",
            "CANCELLING",
            "CANCELLED",
            "FAILED"
          ],
          "type": "string",
          "enumDescriptions": [
            "The default value. This value is used if the state is omitted.",
            "Request operation is waiting for scheduling.",
            "Request is being processed.",
            "The operation is completed successfully.",
            "The operation was being cancelled.",
            "The operation was cancelled.",
            "The operation has failed."
          ]
        },
        "createTime": {
          "description": "The creation time of the operation.",
          "type": "string",
          "format": "google-datetime"
        }
      },
      "type": "object",
      "id": "GoogleCloudDocumentaiUiv1beta3EnableProcessorMetadata",
      "description": "The long running operation metadata for enable processor method."
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageAnchor": {
      "type": "object",
      "properties": {
        "pageRefs": {
          "type": "array",
          "description": "One or more references to visual page elements",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageAnchorPageRef"
          }
        }
      },
      "description": "Referencing the visual context of the entity in the Document.pages. Page anchors can be cross-page, consist of multiple bounding polygons and optionally reference specific layout element types.",
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageAnchor"
    },
    "GoogleCloudDocumentaiV1beta1GcsSource": {
      "id": "GoogleCloudDocumentaiV1beta1GcsSource",
      "description": "The Google Cloud Storage location where the input file will be read from.",
      "properties": {
        "uri": {
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta2DocumentTextAnchor": {
      "id": "GoogleCloudDocumentaiV1beta2DocumentTextAnchor",
      "type": "object",
      "description": "Text reference indexing into the Document.text.",
      "properties": {
        "textSegments": {
          "description": "The text segments from the Document.text.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentTextAnchorTextSegment"
          },
          "type": "array"
        },
        "content": {
          "description": "Contains the content of the text span so that users do not have to look it up in the text_segments.",
          "type": "string"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta3Vertex": {
      "type": "object",
      "description": "A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.",
      "id": "GoogleCloudDocumentaiV1beta3Vertex",
      "properties": {
        "y": {
          "type": "integer",
          "description": "Y coordinate.",
          "format": "int32"
        },
        "x": {
          "format": "int32",
          "type": "integer",
          "description": "X coordinate."
        }
      }
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageTokenDetectedBreak": {
      "properties": {
        "type": {
          "type": "string",
          "enumDescriptions": [
            "Unspecified break type.",
            "A single whitespace.",
            "A wider whitespace.",
            "A hyphen that indicates that a token has been split across lines."
          ],
          "enum": [
            "TYPE_UNSPECIFIED",
            "SPACE",
            "WIDE_SPACE",
            "HYPHEN"
          ],
          "description": "Detected break type."
        }
      },
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageTokenDetectedBreak",
      "description": "Detected break at the end of a Token."
    },
    "GoogleCloudDocumentaiV1beta3DocumentRevision": {
      "description": "Contains past or forward revisions of this document.",
      "type": "object",
      "properties": {
        "id": {
          "type": "string",
          "description": "Id of the revision. Unique within the context of the document."
        },
        "humanReview": {
          "description": "Human Review information of this revision.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentRevisionHumanReview"
        },
        "parent": {
          "type": "array",
          "items": {
            "type": "integer",
            "format": "int32"
          },
          "description": "The revisions that this revision is based on. This can include one or more parent (when documents are merged.) This field represents the index into the `revisions` field."
        },
        "processor": {
          "type": "string",
          "description": "If the annotation was made by processor identify the processor by its resource name."
        },
        "createTime": {
          "format": "google-datetime",
          "description": "The time that the revision was created.",
          "type": "string"
        },
        "agent": {
          "type": "string",
          "description": "If the change was made by a person specify the name or id of that person."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentRevision"
    },
    "GoogleCloudDocumentaiV1beta3DocumentStyle": {
      "properties": {
        "color": {
          "description": "Text color.",
          "$ref": "GoogleTypeColor"
        },
        "textStyle": {
          "type": "string",
          "description": "Text style. Possible values are normal, italic, and oblique. https://www.w3schools.com/cssref/pr_font_font-style.asp"
        },
        "backgroundColor": {
          "description": "Text background color.",
          "$ref": "GoogleTypeColor"
        },
        "textDecoration": {
          "type": "string",
          "description": "Text decoration. Follows CSS standard. https://www.w3schools.com/cssref/pr_text_text-decoration.asp"
        },
        "textAnchor": {
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentTextAnchor",
          "description": "Text anchor indexing into the Document.text."
        },
        "fontWeight": {
          "type": "string",
          "description": "Font weight. Possible values are normal, bold, bolder, and lighter. https://www.w3schools.com/cssref/pr_font_weight.asp"
        },
        "fontSize": {
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentStyleFontSize",
          "description": "Font size."
        }
      },
      "description": "Annotation for common text style attributes. This adheres to CSS conventions as much as possible.",
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta3DocumentStyle"
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageTokenDetectedBreak": {
      "description": "Detected break at the end of a Token.",
      "type": "object",
      "properties": {
        "type": {
          "description": "Detected break type.",
          "enumDescriptions": [
            "Unspecified break type.",
            "A single whitespace.",
            "A wider whitespace.",
            "A hyphen that indicates that a token has been split across lines."
          ],
          "enum": [
            "TYPE_UNSPECIFIED",
            "SPACE",
            "WIDE_SPACE",
            "HYPHEN"
          ],
          "type": "string"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageTokenDetectedBreak"
    },
    "GoogleCloudDocumentaiV1beta3DocumentShardInfo": {
      "properties": {
        "shardCount": {
          "description": "Total number of shards.",
          "type": "string",
          "format": "int64"
        },
        "textOffset": {
          "type": "string",
          "description": "The index of the first character in Document.text in the overall document global text.",
          "format": "int64"
        },
        "shardIndex": {
          "type": "string",
          "format": "int64",
          "description": "The 0-based index of this shard."
        }
      },
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta3DocumentShardInfo",
      "description": "For a large document, sharding may be performed to produce several document shards. Each document shard contains this field to detail which shard it is."
    },
    "GoogleCloudDocumentaiV1beta1DocumentTranslation": {
      "description": "A translation of the text segment.",
      "id": "GoogleCloudDocumentaiV1beta1DocumentTranslation",
      "properties": {
        "provenance": {
          "description": "The history of this annotation.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentProvenance"
          }
        },
        "textAnchor": {
          "description": "Provenance of the translation. Text anchor indexing into the Document.text. There can only be a single `TextAnchor.text_segments` element. If the start and end index of the text segment are the same, the text change is inserted before that index.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentTextAnchor"
        },
        "translatedText": {
          "description": "Text translated into the target language.",
          "type": "string"
        },
        "languageCode": {
          "type": "string",
          "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier."
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta1DocumentEntityNormalizedValue": {
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta1DocumentEntityNormalizedValue",
      "properties": {
        "text": {
          "type": "string",
          "description": "Required. Normalized entity value stored as a string. This field is populated for supported document type (e.g. Invoice). For some entity types, one of respective 'structured_value' fields may also be populated. - Money/Currency type (`money_value`) is in the ISO 4217 text format. - Date type (`date_value`) is in the ISO 8601 text format. - Datetime type (`datetime_value`) is in the ISO 8601 text format."
        },
        "addressValue": {
          "description": "Postal address. See also: https: //github.com/googleapis/googleapis/blob/ // master/google/type/postal_address.proto",
          "$ref": "GoogleTypePostalAddress"
        },
        "datetimeValue": {
          "description": "DateTime value. Includes date, time, and timezone. See also: https: //github.com/googleapis/googleapis/blob/ // master/google/type/datetime.proto",
          "$ref": "GoogleTypeDateTime"
        },
        "dateValue": {
          "$ref": "GoogleTypeDate",
          "description": "Date value. Includes year, month, day. See also: https: //github.com/googleapis/googleapis/blob/master/google/type/date.proto"
        },
        "moneyValue": {
          "description": "Money value. See also: https: //github.com/googleapis/googleapis/blob/ // master/google/type/money.proto",
          "$ref": "GoogleTypeMoney"
        }
      },
      "description": "Parsed and normalized entity value."
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageDimension": {
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageDimension",
      "description": "Dimension for the page.",
      "properties": {
        "height": {
          "type": "number",
          "description": "Page height.",
          "format": "float"
        },
        "unit": {
          "type": "string",
          "description": "Dimension unit."
        },
        "width": {
          "format": "float",
          "description": "Page width.",
          "type": "number"
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta2OperationMetadata": {
      "properties": {
        "updateTime": {
          "type": "string",
          "format": "google-datetime",
          "description": "The last update time of the operation."
        },
        "state": {
          "type": "string",
          "enum": [
            "STATE_UNSPECIFIED",
            "ACCEPTED",
            "WAITING",
            "RUNNING",
            "SUCCEEDED",
            "CANCELLED",
            "FAILED"
          ],
          "description": "The state of the current batch processing.",
          "enumDescriptions": [
            "The default value. This value is used if the state is omitted.",
            "Request is received.",
            "Request operation is waiting for scheduling.",
            "Request is being processed.",
            "The batch processing completed successfully.",
            "The batch processing was cancelled.",
            "The batch processing has failed."
          ]
        },
        "createTime": {
          "description": "The creation time of the operation.",
          "format": "google-datetime",
          "type": "string"
        },
        "stateMessage": {
          "description": "A message providing more details about the current state of processing.",
          "type": "string"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta2OperationMetadata",
      "type": "object",
      "description": "Contains metadata for the BatchProcessDocuments operation."
    },
    "GoogleCloudDocumentaiV1beta2InputConfig": {
      "properties": {
        "contents": {
          "format": "byte",
          "description": "Content in bytes, represented as a stream of bytes. Note: As with all `bytes` fields, proto buffer messages use a pure binary representation, whereas JSON representations use base64. This field only works for synchronous ProcessDocument method.",
          "type": "string"
        },
        "gcsSource": {
          "description": "The Google Cloud Storage location to read the input from. This must be a single file.",
          "$ref": "GoogleCloudDocumentaiV1beta2GcsSource"
        },
        "mimeType": {
          "type": "string",
          "description": "Required. Mimetype of the input. Current supported mimetypes are application/pdf, image/tiff, and image/gif. In addition, application/json type is supported for requests with ProcessDocumentRequest.automl_params field set. The JSON file needs to be in Document format."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta2InputConfig",
      "type": "object",
      "description": "The desired input location and metadata."
    },
    "GoogleCloudDocumentaiV1beta3ProcessResponse": {
      "properties": {
        "document": {
          "$ref": "GoogleCloudDocumentaiV1beta3Document",
          "description": "The document payload, will populate fields based on the processor's behavior."
        },
        "humanReviewOperation": {
          "type": "string",
          "description": "The name of the operation triggered by the processed document. If the human review process is not triggered, this field will be empty. It has the same response type and metadata as the long running operation returned by ReviewDocument method."
        }
      },
      "type": "object",
      "description": "Response message for the process document method.",
      "id": "GoogleCloudDocumentaiV1beta3ProcessResponse"
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageTableTableCell": {
      "properties": {
        "layout": {
          "description": "Layout for TableCell.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageLayout"
        },
        "rowSpan": {
          "type": "integer",
          "format": "int32",
          "description": "How many rows this cell spans."
        },
        "detectedLanguages": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage"
          },
          "type": "array",
          "description": "A list of detected languages together with confidence."
        },
        "colSpan": {
          "type": "integer",
          "description": "How many columns this cell spans.",
          "format": "int32"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageTableTableCell",
      "type": "object",
      "description": "A cell representation inside the table."
    },
    "GoogleCloudDocumentaiV1beta1Document": {
      "id": "GoogleCloudDocumentaiV1beta1Document",
      "description": "Document represents the canonical document resource in Document Understanding AI. It is an interchange format that provides insights into documents and allows for collaboration between users and Document Understanding AI to iterate and optimize for quality.",
      "properties": {
        "pages": {
          "description": "Visual page layout for the Document.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPage"
          },
          "type": "array"
        },
        "entityRelations": {
          "description": "Relationship among Document.entities.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentEntityRelation"
          },
          "type": "array"
        },
        "translations": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentTranslation"
          },
          "description": "A list of translations on Document.text. For document shards, translations in this list may cross shard boundaries.",
          "type": "array"
        },
        "content": {
          "description": "Inline document content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64.",
          "type": "string",
          "format": "byte"
        },
        "textStyles": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentStyle"
          },
          "description": "Styles for the Document.text.",
          "type": "array"
        },
        "uri": {
          "description": "Currently supports Google Cloud Storage URI of the form `gs://bucket_name/object_name`. Object versioning is not supported. See [Google Cloud Storage Request URIs](https://cloud.google.com/storage/docs/reference-uris) for more info.",
          "type": "string"
        },
        "text": {
          "type": "string",
          "description": "UTF-8 encoded text in reading order from the document."
        },
        "entities": {
          "description": "A list of entities detected on Document.text. For document shards, entities in this list may cross shard boundaries.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentEntity"
          },
          "type": "array"
        },
        "revisions": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentRevision"
          },
          "description": "Revision history of this document.",
          "type": "array"
        },
        "textChanges": {
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentTextChange"
          },
          "description": "A list of text corrections made to [Document.text]. This is usually used for annotating corrections to OCR mistakes. Text changes for a given revision may not overlap with each other."
        },
        "mimeType": {
          "type": "string",
          "description": "An IANA published MIME type (also referred to as media type). For more information, see https://www.iana.org/assignments/media-types/media-types.xhtml."
        },
        "error": {
          "$ref": "GoogleRpcStatus",
          "description": "Any error that occurred while processing this document."
        },
        "shardInfo": {
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentShardInfo",
          "description": "Information about the sharding if this document is sharded part of a larger document. If the document is not sharded, this message is not specified."
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta1DocumentEntityRelation": {
      "description": "Relationship between Entities.",
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta1DocumentEntityRelation",
      "properties": {
        "objectId": {
          "type": "string",
          "description": "Object entity id."
        },
        "relation": {
          "type": "string",
          "description": "Relationship description."
        },
        "subjectId": {
          "type": "string",
          "description": "Subject entity id."
        }
      }
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageMatrix": {
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageMatrix",
      "description": "Representation for transformation matrix, intended to be compatible and used with OpenCV format for image manipulation.",
      "properties": {
        "data": {
          "description": "The matrix data.",
          "format": "byte",
          "type": "string"
        },
        "type": {
          "type": "integer",
          "description": "This encodes information about what data type the matrix uses. For example, 0 (CV_8U) is an unsigned 8-bit image. For the full list of OpenCV primitive data types, please refer to https://docs.opencv.org/4.3.0/d1/d1b/group__core__hal__interface.html",
          "format": "int32"
        },
        "rows": {
          "format": "int32",
          "description": "Number of rows in the matrix.",
          "type": "integer"
        },
        "cols": {
          "type": "integer",
          "format": "int32",
          "description": "Number of columns in the matrix."
        }
      }
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageAnchor": {
      "description": "Referencing the visual context of the entity in the Document.pages. Page anchors can be cross-page, consist of multiple bounding polygons and optionally reference specific layout element types.",
      "properties": {
        "pageRefs": {
          "description": "One or more references to visual page elements",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageAnchorPageRef"
          },
          "type": "array"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageAnchor",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta2NormalizedVertex": {
      "type": "object",
      "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.",
      "id": "GoogleCloudDocumentaiV1beta2NormalizedVertex",
      "properties": {
        "y": {
          "format": "float",
          "type": "number",
          "description": "Y coordinate."
        },
        "x": {
          "format": "float",
          "description": "X coordinate.",
          "type": "number"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta2Document": {
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta2Document",
      "properties": {
        "translations": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentTranslation"
          },
          "type": "array",
          "description": "A list of translations on Document.text. For document shards, translations in this list may cross shard boundaries."
        },
        "entityRelations": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentEntityRelation"
          },
          "type": "array",
          "description": "Relationship among Document.entities."
        },
        "shardInfo": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentShardInfo",
          "description": "Information about the sharding if this document is sharded part of a larger document. If the document is not sharded, this message is not specified."
        },
        "labels": {
          "description": "Labels for this document.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentLabel"
          }
        },
        "textStyles": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentStyle"
          },
          "type": "array",
          "description": "Styles for the Document.text."
        },
        "textChanges": {
          "description": "A list of text corrections made to [Document.text]. This is usually used for annotating corrections to OCR mistakes. Text changes for a given revision may not overlap with each other.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentTextChange"
          },
          "type": "array"
        },
        "uri": {
          "description": "Currently supports Google Cloud Storage URI of the form `gs://bucket_name/object_name`. Object versioning is not supported. See [Google Cloud Storage Request URIs](https://cloud.google.com/storage/docs/reference-uris) for more info.",
          "type": "string"
        },
        "entities": {
          "description": "A list of entities detected on Document.text. For document shards, entities in this list may cross shard boundaries.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentEntity"
          }
        },
        "revisions": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentRevision"
          },
          "type": "array",
          "description": "Revision history of this document."
        },
        "text": {
          "type": "string",
          "description": "UTF-8 encoded text in reading order from the document."
        },
        "error": {
          "description": "Any error that occurred while processing this document.",
          "$ref": "GoogleRpcStatus"
        },
        "pages": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPage"
          },
          "description": "Visual page layout for the Document.",
          "type": "array"
        },
        "content": {
          "type": "string",
          "description": "Inline document content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64.",
          "format": "byte"
        },
        "mimeType": {
          "description": "An IANA published MIME type (also referred to as media type). For more information, see https://www.iana.org/assignments/media-types/media-types.xhtml.",
          "type": "string"
        }
      },
      "description": "Document represents the canonical document resource in Document Understanding AI. It is an interchange format that provides insights into documents and allows for collaboration between users and Document Understanding AI to iterate and optimize for quality."
    },
    "GoogleCloudDocumentaiV1beta2DocumentStyle": {
      "properties": {
        "textDecoration": {
          "type": "string",
          "description": "Text decoration. Follows CSS standard. https://www.w3schools.com/cssref/pr_text_text-decoration.asp"
        },
        "fontSize": {
          "description": "Font size.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentStyleFontSize"
        },
        "fontWeight": {
          "type": "string",
          "description": "Font weight. Possible values are normal, bold, bolder, and lighter. https://www.w3schools.com/cssref/pr_font_weight.asp"
        },
        "textAnchor": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentTextAnchor",
          "description": "Text anchor indexing into the Document.text."
        },
        "backgroundColor": {
          "$ref": "GoogleTypeColor",
          "description": "Text background color."
        },
        "textStyle": {
          "type": "string",
          "description": "Text style. Possible values are normal, italic, and oblique. https://www.w3schools.com/cssref/pr_font_font-style.asp"
        },
        "color": {
          "$ref": "GoogleTypeColor",
          "description": "Text color."
        }
      },
      "type": "object",
      "description": "Annotation for common text style attributes. This adheres to CSS conventions as much as possible.",
      "id": "GoogleCloudDocumentaiV1beta2DocumentStyle"
    },
    "GoogleCloudDocumentaiV1beta2BatchProcessDocumentsResponse": {
      "description": "Response to an batch document processing request. This is returned in the LRO Operation after the operation is complete.",
      "id": "GoogleCloudDocumentaiV1beta2BatchProcessDocumentsResponse",
      "properties": {
        "responses": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2ProcessDocumentResponse"
          },
          "description": "Responses for each individual document.",
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta3DocumentRevisionHumanReview": {
      "description": "Human Review information of the document.",
      "type": "object",
      "properties": {
        "state": {
          "type": "string",
          "description": "Human review state. e.g. `requested`, `succeeded`, `rejected`."
        },
        "stateMessage": {
          "description": "A message providing more details about the current state of processing. For example, the rejection reason when the state is `rejected`.",
          "type": "string"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentRevisionHumanReview"
    },
    "GoogleCloudDocumentaiV1beta2DocumentRevision": {
      "description": "Contains past or forward revisions of this document.",
      "properties": {
        "humanReview": {
          "description": "Human Review information of this revision.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentRevisionHumanReview"
        },
        "createTime": {
          "format": "google-datetime",
          "description": "The time that the revision was created.",
          "type": "string"
        },
        "parent": {
          "description": "The revisions that this revision is based on. This can include one or more parent (when documents are merged.) This field represents the index into the `revisions` field.",
          "items": {
            "type": "integer",
            "format": "int32"
          },
          "type": "array"
        },
        "processor": {
          "description": "If the annotation was made by processor identify the processor by its resource name.",
          "type": "string"
        },
        "agent": {
          "type": "string",
          "description": "If the change was made by a person specify the name or id of that person."
        },
        "id": {
          "description": "Id of the revision. Unique within the context of the document.",
          "type": "string"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta2DocumentRevision",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageTableTableCell": {
      "description": "A cell representation inside the table.",
      "type": "object",
      "properties": {
        "layout": {
          "description": "Layout for TableCell.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageLayout"
        },
        "colSpan": {
          "description": "How many columns this cell spans.",
          "type": "integer",
          "format": "int32"
        },
        "detectedLanguages": {
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageDetectedLanguage"
          },
          "description": "A list of detected languages together with confidence."
        },
        "rowSpan": {
          "type": "integer",
          "format": "int32",
          "description": "How many rows this cell spans."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageTableTableCell"
    },
    "GoogleCloudDocumentaiV1beta2GcsDestination": {
      "type": "object",
      "description": "The Google Cloud Storage location where the output file will be written to.",
      "id": "GoogleCloudDocumentaiV1beta2GcsDestination",
      "properties": {
        "uri": {
          "type": "string"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta3DocumentTranslation": {
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta3DocumentTranslation",
      "properties": {
        "textAnchor": {
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentTextAnchor",
          "description": "Provenance of the translation. Text anchor indexing into the Document.text. There can only be a single `TextAnchor.text_segments` element. If the start and end index of the text segment are the same, the text change is inserted before that index."
        },
        "languageCode": {
          "type": "string",
          "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier."
        },
        "translatedText": {
          "description": "Text translated into the target language.",
          "type": "string"
        },
        "provenance": {
          "type": "array",
          "description": "The history of this annotation.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentProvenance"
          }
        }
      },
      "description": "A translation of the text segment."
    },
    "GoogleCloudDocumentaiV1beta1ProcessDocumentResponse": {
      "type": "object",
      "description": "Response to a single document processing request.",
      "properties": {
        "inputConfig": {
          "description": "Information about the input file. This is the same as the corresponding input config in the request.",
          "$ref": "GoogleCloudDocumentaiV1beta1InputConfig"
        },
        "outputConfig": {
          "description": "The output location of the parsed responses. The responses are written to this location as JSON-serialized `Document` objects.",
          "$ref": "GoogleCloudDocumentaiV1beta1OutputConfig"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta1ProcessDocumentResponse"
    },
    "GoogleCloudDocumentaiV1beta3DocumentTextAnchor": {
      "id": "GoogleCloudDocumentaiV1beta3DocumentTextAnchor",
      "properties": {
        "content": {
          "description": "Contains the content of the text span so that users do not have to look it up in the text_segments.",
          "type": "string"
        },
        "textSegments": {
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentTextAnchorTextSegment"
          },
          "description": "The text segments from the Document.text."
        }
      },
      "description": "Text reference indexing into the Document.text.",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta1DocumentRevision": {
      "type": "object",
      "properties": {
        "processor": {
          "type": "string",
          "description": "If the annotation was made by processor identify the processor by its resource name."
        },
        "createTime": {
          "description": "The time that the revision was created.",
          "format": "google-datetime",
          "type": "string"
        },
        "agent": {
          "type": "string",
          "description": "If the change was made by a person specify the name or id of that person."
        },
        "humanReview": {
          "description": "Human Review information of this revision.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentRevisionHumanReview"
        },
        "id": {
          "description": "Id of the revision. Unique within the context of the document.",
          "type": "string"
        },
        "parent": {
          "type": "array",
          "description": "The revisions that this revision is based on. This can include one or more parent (when documents are merged.) This field represents the index into the `revisions` field.",
          "items": {
            "type": "integer",
            "format": "int32"
          }
        }
      },
      "id": "GoogleCloudDocumentaiV1beta1DocumentRevision",
      "description": "Contains past or forward revisions of this document."
    },
    "GoogleCloudDocumentaiV1beta3DocumentStyleFontSize": {
      "description": "Font size with unit.",
      "type": "object",
      "properties": {
        "size": {
          "format": "float",
          "description": "Font size for the text.",
          "type": "number"
        },
        "unit": {
          "description": "Unit for the font size. Follows CSS naming (in, px, pt, etc.).",
          "type": "string"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentStyleFontSize"
    },
    "GoogleCloudDocumentaiV1beta3DocumentProvenance": {
      "description": "Structure to identify provenance relationships between annotations in different revisions.",
      "id": "GoogleCloudDocumentaiV1beta3DocumentProvenance",
      "properties": {
        "type": {
          "enumDescriptions": [
            "Operation type unspecified.",
            "Add an element. Implicit if no `parents` are set for the provenance.",
            "The element is removed. No `parents` should be set.",
            "Explicitly replaces the element(s) identified by `parents`.",
            "Element is requested for human review.",
            "Element is review and approved at human review, confidence will be set to 1.0"
          ],
          "enum": [
            "OPERATION_TYPE_UNSPECIFIED",
            "ADD",
            "REMOVE",
            "REPLACE",
            "EVAL_REQUESTED",
            "EVAL_APPROVED"
          ],
          "type": "string",
          "description": "The type of provenance operation."
        },
        "id": {
          "description": "The Id of this operation. Needs to be unique within the scope of the revision.",
          "format": "int32",
          "type": "integer"
        },
        "revision": {
          "format": "int32",
          "description": "The index of the revision that produced this element.",
          "type": "integer"
        },
        "parents": {
          "type": "array",
          "description": "References to the original elements that are replaced.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentProvenanceParent"
          }
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageToken": {
      "description": "A detected token.",
      "properties": {
        "detectedLanguages": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageDetectedLanguage"
          },
          "description": "A list of detected languages together with confidence.",
          "type": "array"
        },
        "provenance": {
          "description": "The history of this annotation.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentProvenance"
        },
        "detectedBreak": {
          "description": "Detected break at the end of a Token.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageTokenDetectedBreak"
        },
        "layout": {
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageLayout",
          "description": "Layout for Token."
        }
      },
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageToken"
    },
    "GoogleCloudDocumentaiV1beta2DocumentTextChange": {
      "description": "This message is used for text changes aka. OCR corrections.",
      "id": "GoogleCloudDocumentaiV1beta2DocumentTextChange",
      "type": "object",
      "properties": {
        "changedText": {
          "type": "string",
          "description": "The text that replaces the text identified in the `text_anchor`."
        },
        "provenance": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentProvenance"
          },
          "description": "The history of this annotation.",
          "type": "array"
        },
        "textAnchor": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentTextAnchor",
          "description": "Provenance of the correction. Text anchor indexing into the Document.text. There can only be a single `TextAnchor.text_segments` element. If the start and end index of the text segment are the same, the text change is inserted before that index."
        }
      }
    },
    "GoogleCloudDocumentaiV1beta3DocumentEntity": {
      "type": "object",
      "properties": {
        "normalizedValue": {
          "description": "Optional. Normalized entity value. Absent if the extracted value could not be converted or the type (e.g. address) is not supported for certain parsers. This field is also only populated for certain supported document types.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentEntityNormalizedValue"
        },
        "mentionText": {
          "description": "Text value in the document e.g. `1600 Amphitheatre Pkwy`.",
          "type": "string"
        },
        "properties": {
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentEntity"
          },
          "description": "Optional. Entities can be nested to form a hierarchical data structure representing the content in the document."
        },
        "pageAnchor": {
          "description": "Optional. Represents the provenance of this entity wrt. the location on the page where it was found.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageAnchor"
        },
        "provenance": {
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentProvenance",
          "description": "Optional. The history of this annotation."
        },
        "id": {
          "description": "Optional. Canonical id. This will be a unique value in the entity list for this document.",
          "type": "string"
        },
        "mentionId": {
          "type": "string",
          "description": "Deprecated. Use `id` field instead."
        },
        "textAnchor": {
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentTextAnchor",
          "description": "Provenance of the entity. Text anchor indexing into the Document.text."
        },
        "confidence": {
          "description": "Optional. Confidence of detected Schema entity. Range [0, 1].",
          "type": "number",
          "format": "float"
        },
        "redacted": {
          "description": "Optional. Whether the entity will be redacted for de-identification purposes.",
          "type": "boolean"
        },
        "type": {
          "type": "string",
          "description": "Entity type from a schema e.g. `Address`."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentEntity",
      "description": "A phrase in the text that is a known entity type, such as a person, an organization, or location."
    },
    "GoogleCloudDocumentaiV1beta3BatchProcessMetadataIndividualProcessStatus": {
      "id": "GoogleCloudDocumentaiV1beta3BatchProcessMetadataIndividualProcessStatus",
      "type": "object",
      "description": "The status of a each individual document in the batch process.",
      "properties": {
        "status": {
          "$ref": "GoogleRpcStatus",
          "description": "The status of the processing of the document."
        },
        "outputGcsDestination": {
          "description": "The output_gcs_destination (in the request as 'output_gcs_destination') of the processed document if it was successful, otherwise empty.",
          "type": "string"
        },
        "inputGcsSource": {
          "type": "string",
          "description": "The source of the document, same as the [input_gcs_source] field in the request when the batch process started. The batch process is started by take snapshot of that document, since a user can move or change that document during the process."
        },
        "humanReviewOperation": {
          "type": "string",
          "description": "The name of the operation triggered by the processed document. If the human review process is not triggered, this field will be empty. It has the same response type and metadata as the long running operation returned by ReviewDocument method."
        }
      }
    },
    "GoogleCloudDocumentaiV1beta3NormalizedVertex": {
      "id": "GoogleCloudDocumentaiV1beta3NormalizedVertex",
      "type": "object",
      "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.",
      "properties": {
        "y": {
          "format": "float",
          "type": "number",
          "description": "Y coordinate."
        },
        "x": {
          "type": "number",
          "description": "X coordinate.",
          "format": "float"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta1OperationMetadata": {
      "description": "Contains metadata for the BatchProcessDocuments operation.",
      "type": "object",
      "properties": {
        "updateTime": {
          "type": "string",
          "description": "The last update time of the operation.",
          "format": "google-datetime"
        },
        "stateMessage": {
          "type": "string",
          "description": "A message providing more details about the current state of processing."
        },
        "state": {
          "type": "string",
          "description": "The state of the current batch processing.",
          "enumDescriptions": [
            "The default value. This value is used if the state is omitted.",
            "Request is received.",
            "Request operation is waiting for scheduling.",
            "Request is being processed.",
            "The batch processing completed successfully.",
            "The batch processing was cancelled.",
            "The batch processing has failed."
          ],
          "enum": [
            "STATE_UNSPECIFIED",
            "ACCEPTED",
            "WAITING",
            "RUNNING",
            "SUCCEEDED",
            "CANCELLED",
            "FAILED"
          ]
        },
        "createTime": {
          "type": "string",
          "description": "The creation time of the operation.",
          "format": "google-datetime"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta1OperationMetadata"
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageDetectedLanguage": {
      "properties": {
        "confidence": {
          "format": "float",
          "type": "number",
          "description": "Confidence of detected language. Range [0, 1]."
        },
        "languageCode": {
          "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.",
          "type": "string"
        }
      },
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageDetectedLanguage",
      "description": "Detected language for a structural component."
    },
    "GoogleCloudDocumentaiV1beta1DocumentTextAnchorTextSegment": {
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta1DocumentTextAnchorTextSegment",
      "properties": {
        "startIndex": {
          "format": "int64",
          "type": "string",
          "description": "TextSegment start UTF-8 char index in the Document.text."
        },
        "endIndex": {
          "description": "TextSegment half open end UTF-8 char index in the Document.text.",
          "type": "string",
          "format": "int64"
        }
      },
      "description": "A text segment in the Document.text. The indices may be out of bounds which indicate that the text extends into another document shard for large sharded documents. See ShardInfo.text_offset"
    },
    "GoogleCloudDocumentaiV1beta1DocumentStyle": {
      "type": "object",
      "description": "Annotation for common text style attributes. This adheres to CSS conventions as much as possible.",
      "properties": {
        "fontWeight": {
          "description": "Font weight. Possible values are normal, bold, bolder, and lighter. https://www.w3schools.com/cssref/pr_font_weight.asp",
          "type": "string"
        },
        "fontSize": {
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentStyleFontSize",
          "description": "Font size."
        },
        "textStyle": {
          "type": "string",
          "description": "Text style. Possible values are normal, italic, and oblique. https://www.w3schools.com/cssref/pr_font_font-style.asp"
        },
        "color": {
          "$ref": "GoogleTypeColor",
          "description": "Text color."
        },
        "textDecoration": {
          "type": "string",
          "description": "Text decoration. Follows CSS standard. https://www.w3schools.com/cssref/pr_text_text-decoration.asp"
        },
        "backgroundColor": {
          "description": "Text background color.",
          "$ref": "GoogleTypeColor"
        },
        "textAnchor": {
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentTextAnchor",
          "description": "Text anchor indexing into the Document.text."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta1DocumentStyle"
    },
    "GoogleCloudDocumentaiV1beta3ProcessRequest": {
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta3ProcessRequest",
      "properties": {
        "document": {
          "$ref": "GoogleCloudDocumentaiV1beta3Document",
          "description": "The document payload, the [content] and [mime_type] fields must be set."
        },
        "skipHumanReview": {
          "description": "Whether Human Review feature should be skipped for this request. Default to false.",
          "type": "boolean"
        }
      },
      "description": "Request message for the process document method."
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageImage": {
      "properties": {
        "height": {
          "description": "Height of the image in pixels.",
          "format": "int32",
          "type": "integer"
        },
        "mimeType": {
          "type": "string",
          "description": "Encoding mime type for the image."
        },
        "width": {
          "description": "Width of the image in pixels.",
          "format": "int32",
          "type": "integer"
        },
        "content": {
          "format": "byte",
          "type": "string",
          "description": "Raw byte content of the image."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageImage",
      "type": "object",
      "description": "Rendered image contents for this page."
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageTokenDetectedBreak": {
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageTokenDetectedBreak",
      "type": "object",
      "properties": {
        "type": {
          "type": "string",
          "description": "Detected break type.",
          "enum": [
            "TYPE_UNSPECIFIED",
            "SPACE",
            "WIDE_SPACE",
            "HYPHEN"
          ],
          "enumDescriptions": [
            "Unspecified break type.",
            "A single whitespace.",
            "A wider whitespace.",
            "A hyphen that indicates that a token has been split across lines."
          ]
        }
      },
      "description": "Detected break at the end of a Token."
    },
    "GoogleCloudDocumentaiV1beta3ReviewDocumentRequest": {
      "description": "Request message for review document method.",
      "id": "GoogleCloudDocumentaiV1beta3ReviewDocumentRequest",
      "type": "object",
      "properties": {
        "document": {
          "$ref": "GoogleCloudDocumentaiV1beta3Document",
          "description": "The document that needs human review."
        }
      }
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageVisualElement": {
      "description": "Detected non-text visual elements e.g. checkbox, signature etc. on the page.",
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageVisualElement",
      "properties": {
        "detectedLanguages": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage"
          },
          "type": "array",
          "description": "A list of detected languages together with confidence."
        },
        "layout": {
          "description": "Layout for VisualElement.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageLayout"
        },
        "type": {
          "type": "string",
          "description": "Type of the VisualElement."
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage": {
      "description": "Detected language for a structural component.",
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage",
      "type": "object",
      "properties": {
        "languageCode": {
          "type": "string",
          "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier."
        },
        "confidence": {
          "type": "number",
          "description": "Confidence of detected language. Range [0, 1].",
          "format": "float"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta3BatchProcessRequestBatchOutputConfig": {
      "properties": {
        "gcsDestination": {
          "description": "The output Cloud Storage directory to put the processed documents.",
          "type": "string"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3BatchProcessRequestBatchOutputConfig",
      "type": "object",
      "description": "The message for output config in batch process."
    },
    "GoogleRpcStatus": {
      "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).",
      "properties": {
        "details": {
          "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.",
          "type": "array",
          "items": {
            "additionalProperties": {
              "type": "any",
              "description": "Properties of the object. Contains field @type with type URL."
            },
            "type": "object"
          }
        },
        "code": {
          "format": "int32",
          "description": "The status code, which should be an enum value of google.rpc.Code.",
          "type": "integer"
        },
        "message": {
          "type": "string",
          "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client."
        }
      },
      "id": "GoogleRpcStatus",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta3DocumentTextChange": {
      "type": "object",
      "description": "This message is used for text changes aka. OCR corrections.",
      "properties": {
        "changedText": {
          "description": "The text that replaces the text identified in the `text_anchor`.",
          "type": "string"
        },
        "provenance": {
          "type": "array",
          "description": "The history of this annotation.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentProvenance"
          }
        },
        "textAnchor": {
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentTextAnchor",
          "description": "Provenance of the correction. Text anchor indexing into the Document.text. There can only be a single `TextAnchor.text_segments` element. If the start and end index of the text segment are the same, the text change is inserted before that index."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentTextChange"
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageAnchorPageRef": {
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageAnchorPageRef",
      "type": "object",
      "properties": {
        "page": {
          "format": "int64",
          "type": "string",
          "description": "Required. Index into the Document.pages element"
        },
        "boundingPoly": {
          "description": "Optional. Identifies the bounding polygon of a layout element on the page.",
          "$ref": "GoogleCloudDocumentaiV1beta2BoundingPoly"
        },
        "layoutId": {
          "type": "string",
          "description": "Optional. Deprecated. Use PageRef.bounding_poly instead."
        },
        "layoutType": {
          "type": "string",
          "enumDescriptions": [
            "Layout Unspecified.",
            "References a Page.blocks element.",
            "References a Page.paragraphs element.",
            "References a Page.lines element.",
            "References a Page.tokens element.",
            "References a Page.visual_elements element.",
            "Refrrences a Page.tables element.",
            "References a Page.form_fields element."
          ],
          "description": "Optional. The type of the layout element that is being referenced if any.",
          "enum": [
            "LAYOUT_TYPE_UNSPECIFIED",
            "BLOCK",
            "PARAGRAPH",
            "LINE",
            "TOKEN",
            "VISUAL_ELEMENT",
            "TABLE",
            "FORM_FIELD"
          ]
        }
      },
      "description": "Represents a weak reference to a page element within a document."
    },
    "GoogleCloudDocumentaiV1beta1BoundingPoly": {
      "type": "object",
      "description": "A bounding polygon for the detected image annotation.",
      "properties": {
        "vertices": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1Vertex"
          },
          "type": "array",
          "description": "The bounding polygon vertices."
        },
        "normalizedVertices": {
          "type": "array",
          "description": "The bounding polygon normalized vertices.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1NormalizedVertex"
          }
        }
      },
      "id": "GoogleCloudDocumentaiV1beta1BoundingPoly"
    },
    "GoogleCloudDocumentaiV1beta2GcsSource": {
      "properties": {
        "uri": {
          "type": "string"
        }
      },
      "description": "The Google Cloud Storage location where the input file will be read from.",
      "id": "GoogleCloudDocumentaiV1beta2GcsSource",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageTableTableRow": {
      "properties": {
        "cells": {
          "type": "array",
          "description": "Cells that make up this row.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageTableTableCell"
          }
        }
      },
      "description": "A row of table cells.",
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageTableTableRow"
    },
    "GoogleCloudDocumentaiV1beta2DocumentTranslation": {
      "type": "object",
      "properties": {
        "translatedText": {
          "type": "string",
          "description": "Text translated into the target language."
        },
        "provenance": {
          "description": "The history of this annotation.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentProvenance"
          },
          "type": "array"
        },
        "textAnchor": {
          "description": "Provenance of the translation. Text anchor indexing into the Document.text. There can only be a single `TextAnchor.text_segments` element. If the start and end index of the text segment are the same, the text change is inserted before that index.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentTextAnchor"
        },
        "languageCode": {
          "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.",
          "type": "string"
        }
      },
      "description": "A translation of the text segment.",
      "id": "GoogleCloudDocumentaiV1beta2DocumentTranslation"
    },
    "GoogleCloudDocumentaiV1beta3BatchProcessRequestBatchInputConfig": {
      "description": "The message for input config in batch process.",
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta3BatchProcessRequestBatchInputConfig",
      "properties": {
        "gcsSource": {
          "description": "The Cloud Storage location as the source of the document.",
          "type": "string"
        },
        "mimeType": {
          "description": "Mimetype of the input. If the input is a raw document, the supported mimetypes are application/pdf, image/tiff, and image/gif. If the input is a [Document] proto, the type should be application/json.",
          "type": "string"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta3BoundingPoly": {
      "description": "A bounding polygon for the detected image annotation.",
      "type": "object",
      "properties": {
        "vertices": {
          "description": "The bounding polygon vertices.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3Vertex"
          },
          "type": "array"
        },
        "normalizedVertices": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3NormalizedVertex"
          },
          "type": "array",
          "description": "The bounding polygon normalized vertices."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3BoundingPoly"
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageFormField": {
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageFormField",
      "type": "object",
      "properties": {
        "valueDetectedLanguages": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage"
          },
          "type": "array",
          "description": "A list of detected languages for value together with confidence."
        },
        "fieldName": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageLayout",
          "description": "Layout for the FormField name. e.g. `Address`, `Email`, `Grand total`, `Phone number`, etc."
        },
        "fieldValue": {
          "description": "Layout for the FormField value.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageLayout"
        },
        "nameDetectedLanguages": {
          "description": "A list of detected languages for name together with confidence.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage"
          }
        },
        "valueType": {
          "description": "If the value is non-textual, this field represents the type. Current valid values are: - blank (this indicates the field_value is normal text) - \"unfilled_checkbox\" - \"filled_checkbox\"",
          "type": "string"
        }
      },
      "description": "A form field detected on the page."
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageImage": {
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageImage",
      "description": "Rendered image contents for this page.",
      "type": "object",
      "properties": {
        "mimeType": {
          "type": "string",
          "description": "Encoding mime type for the image."
        },
        "width": {
          "format": "int32",
          "description": "Width of the image in pixels.",
          "type": "integer"
        },
        "height": {
          "format": "int32",
          "description": "Height of the image in pixels.",
          "type": "integer"
        },
        "content": {
          "format": "byte",
          "description": "Raw byte content of the image.",
          "type": "string"
        }
      }
    },
    "GoogleCloudDocumentaiUiv1beta3DeleteProcessorMetadata": {
      "type": "object",
      "id": "GoogleCloudDocumentaiUiv1beta3DeleteProcessorMetadata",
      "description": "The long running operation metadata for delete processor method.",
      "properties": {
        "createTime": {
          "format": "google-datetime",
          "type": "string",
          "description": "The creation time of the operation."
        },
        "updateTime": {
          "type": "string",
          "format": "google-datetime",
          "description": "The last update time of the operation."
        },
        "state": {
          "type": "string",
          "enum": [
            "STATE_UNSPECIFIED",
            "WAITING",
            "RUNNING",
            "SUCCEEDED",
            "FAILED"
          ],
          "enumDescriptions": [
            "The default value. This value is used if the state is omitted.",
            "Request operation is waiting for scheduling.",
            "Request is being processed.",
            "The operation is completed successfully.",
            "The operation has failed."
          ],
          "description": "The state of the current delete processor operation."
        },
        "stateMessage": {
          "description": "A message providing more details about the current state of processing. For example, the error message if the operation is failed.",
          "type": "string"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageLine": {
      "description": "A collection of tokens that a human would perceive as a line. Does not cross column boundaries, can be horizontal, vertical, etc.",
      "properties": {
        "layout": {
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageLayout",
          "description": "Layout for Line."
        },
        "provenance": {
          "description": "The history of this annotation.",
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentProvenance"
        },
        "detectedLanguages": {
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageDetectedLanguage"
          },
          "description": "A list of detected languages together with confidence."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageLine",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageParagraph": {
      "type": "object",
      "description": "A collection of lines that a human would perceive as a paragraph.",
      "properties": {
        "layout": {
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageLayout",
          "description": "Layout for Paragraph."
        },
        "provenance": {
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentProvenance",
          "description": "The history of this annotation."
        },
        "detectedLanguages": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage"
          },
          "type": "array",
          "description": "A list of detected languages together with confidence."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageParagraph"
    },
    "GoogleCloudDocumentaiV1beta3BatchProcessMetadata": {
      "properties": {
        "state": {
          "description": "The state of the current batch processing.",
          "type": "string",
          "enumDescriptions": [
            "The default value. This value is used if the state is omitted.",
            "Request operation is waiting for scheduling.",
            "Request is being processed.",
            "The batch processing completed successfully.",
            "The batch processing was being cancelled.",
            "The batch processing was cancelled.",
            "The batch processing has failed."
          ],
          "enum": [
            "STATE_UNSPECIFIED",
            "WAITING",
            "RUNNING",
            "SUCCEEDED",
            "CANCELLING",
            "CANCELLED",
            "FAILED"
          ]
        },
        "stateMessage": {
          "description": "A message providing more details about the current state of processing. For example, the error message if the operation is failed.",
          "type": "string"
        },
        "updateTime": {
          "format": "google-datetime",
          "type": "string",
          "description": "The last update time of the operation."
        },
        "individualProcessStatuses": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3BatchProcessMetadataIndividualProcessStatus"
          },
          "type": "array",
          "description": "The list of response details of each document."
        },
        "createTime": {
          "type": "string",
          "description": "The creation time of the operation.",
          "format": "google-datetime"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3BatchProcessMetadata",
      "type": "object",
      "description": "The long running operation metadata for batch process method."
    },
    "GoogleCloudDocumentaiV1beta1DocumentShardInfo": {
      "properties": {
        "shardCount": {
          "type": "string",
          "description": "Total number of shards.",
          "format": "int64"
        },
        "shardIndex": {
          "type": "string",
          "format": "int64",
          "description": "The 0-based index of this shard."
        },
        "textOffset": {
          "format": "int64",
          "type": "string",
          "description": "The index of the first character in Document.text in the overall document global text."
        }
      },
      "description": "For a large document, sharding may be performed to produce several document shards. Each document shard contains this field to detail which shard it is.",
      "id": "GoogleCloudDocumentaiV1beta1DocumentShardInfo",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageAnchorPageRef": {
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageAnchorPageRef",
      "properties": {
        "page": {
          "format": "int64",
          "description": "Required. Index into the Document.pages element",
          "type": "string"
        },
        "layoutId": {
          "description": "Optional. Deprecated. Use PageRef.bounding_poly instead.",
          "type": "string"
        },
        "layoutType": {
          "enumDescriptions": [
            "Layout Unspecified.",
            "References a Page.blocks element.",
            "References a Page.paragraphs element.",
            "References a Page.lines element.",
            "References a Page.tokens element.",
            "References a Page.visual_elements element.",
            "Refrrences a Page.tables element.",
            "References a Page.form_fields element."
          ],
          "type": "string",
          "description": "Optional. The type of the layout element that is being referenced if any.",
          "enum": [
            "LAYOUT_TYPE_UNSPECIFIED",
            "BLOCK",
            "PARAGRAPH",
            "LINE",
            "TOKEN",
            "VISUAL_ELEMENT",
            "TABLE",
            "FORM_FIELD"
          ]
        },
        "boundingPoly": {
          "description": "Optional. Identifies the bounding polygon of a layout element on the page.",
          "$ref": "GoogleCloudDocumentaiV1beta1BoundingPoly"
        }
      },
      "type": "object",
      "description": "Represents a weak reference to a page element within a document."
    },
    "GoogleCloudDocumentaiV1beta1BatchProcessDocumentsResponse": {
      "description": "Response to an batch document processing request. This is returned in the LRO Operation after the operation is complete.",
      "properties": {
        "responses": {
          "description": "Responses for each individual document.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1ProcessDocumentResponse"
          }
        }
      },
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta1BatchProcessDocumentsResponse"
    },
    "GoogleCloudDocumentaiV1beta1DocumentTextAnchor": {
      "id": "GoogleCloudDocumentaiV1beta1DocumentTextAnchor",
      "description": "Text reference indexing into the Document.text.",
      "properties": {
        "textSegments": {
          "description": "The text segments from the Document.text.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentTextAnchorTextSegment"
          },
          "type": "array"
        },
        "content": {
          "description": "Contains the content of the text span so that users do not have to look it up in the text_segments.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta1DocumentProvenance": {
      "type": "object",
      "properties": {
        "id": {
          "type": "integer",
          "description": "The Id of this operation. Needs to be unique within the scope of the revision.",
          "format": "int32"
        },
        "parents": {
          "description": "References to the original elements that are replaced.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentProvenanceParent"
          }
        },
        "revision": {
          "type": "integer",
          "format": "int32",
          "description": "The index of the revision that produced this element."
        },
        "type": {
          "enumDescriptions": [
            "Operation type unspecified.",
            "Add an element. Implicit if no `parents` are set for the provenance.",
            "The element is removed. No `parents` should be set.",
            "Explicitly replaces the element(s) identified by `parents`.",
            "Element is requested for human review.",
            "Element is review and approved at human review, confidence will be set to 1.0"
          ],
          "description": "The type of provenance operation.",
          "enum": [
            "OPERATION_TYPE_UNSPECIFIED",
            "ADD",
            "REMOVE",
            "REPLACE",
            "EVAL_REQUESTED",
            "EVAL_APPROVED"
          ],
          "type": "string"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta1DocumentProvenance",
      "description": "Structure to identify provenance relationships between annotations in different revisions."
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageToken": {
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageToken",
      "properties": {
        "detectedLanguages": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage"
          },
          "description": "A list of detected languages together with confidence.",
          "type": "array"
        },
        "detectedBreak": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageTokenDetectedBreak",
          "description": "Detected break at the end of a Token."
        },
        "provenance": {
          "description": "The history of this annotation.",
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentProvenance"
        },
        "layout": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageLayout",
          "description": "Layout for Token."
        }
      },
      "description": "A detected token.",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageMatrix": {
      "type": "object",
      "properties": {
        "type": {
          "type": "integer",
          "description": "This encodes information about what data type the matrix uses. For example, 0 (CV_8U) is an unsigned 8-bit image. For the full list of OpenCV primitive data types, please refer to https://docs.opencv.org/4.3.0/d1/d1b/group__core__hal__interface.html",
          "format": "int32"
        },
        "cols": {
          "format": "int32",
          "description": "Number of columns in the matrix.",
          "type": "integer"
        },
        "data": {
          "type": "string",
          "format": "byte",
          "description": "The matrix data."
        },
        "rows": {
          "description": "Number of rows in the matrix.",
          "type": "integer",
          "format": "int32"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageMatrix",
      "description": "Representation for transformation matrix, intended to be compatible and used with OpenCV format for image manipulation."
    },
    "GoogleCloudDocumentaiV1beta2DocumentPageBlock": {
      "type": "object",
      "description": "A block has a set of lines (collected into paragraphs) that have a common line-spacing and orientation.",
      "properties": {
        "layout": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageLayout",
          "description": "Layout for Block."
        },
        "provenance": {
          "$ref": "GoogleCloudDocumentaiV1beta2DocumentProvenance",
          "description": "The history of this annotation."
        },
        "detectedLanguages": {
          "description": "A list of detected languages together with confidence.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage"
          },
          "type": "array"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta2DocumentPageBlock"
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageBlock": {
      "properties": {
        "detectedLanguages": {
          "type": "array",
          "description": "A list of detected languages together with confidence.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageDetectedLanguage"
          }
        },
        "layout": {
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageLayout",
          "description": "Layout for Block."
        },
        "provenance": {
          "$ref": "GoogleCloudDocumentaiV1beta3DocumentProvenance",
          "description": "The history of this annotation."
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageBlock",
      "description": "A block has a set of lines (collected into paragraphs) that have a common line-spacing and orientation.",
      "type": "object"
    },
    "GoogleCloudDocumentaiUiv1beta3EnableProcessorResponse": {
      "description": "Response message for the enable processor method. Intentionally empty proto for adding fields in future.",
      "type": "object",
      "properties": {},
      "id": "GoogleCloudDocumentaiUiv1beta3EnableProcessorResponse"
    },
    "GoogleCloudDocumentaiV1beta1GcsDestination": {
      "id": "GoogleCloudDocumentaiV1beta1GcsDestination",
      "properties": {
        "uri": {
          "type": "string"
        }
      },
      "type": "object",
      "description": "The Google Cloud Storage location where the output file will be written to."
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageToken": {
      "description": "A detected token.",
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageToken",
      "properties": {
        "layout": {
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageLayout",
          "description": "Layout for Token."
        },
        "detectedLanguages": {
          "description": "A list of detected languages together with confidence.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage"
          },
          "type": "array"
        },
        "provenance": {
          "description": "The history of this annotation.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentProvenance"
        },
        "detectedBreak": {
          "description": "Detected break at the end of a Token.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageTokenDetectedBreak"
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta2DocumentRevisionHumanReview": {
      "properties": {
        "stateMessage": {
          "description": "A message providing more details about the current state of processing. For example, the rejection reason when the state is `rejected`.",
          "type": "string"
        },
        "state": {
          "type": "string",
          "description": "Human review state. e.g. `requested`, `succeeded`, `rejected`."
        }
      },
      "description": "Human Review information of the document.",
      "id": "GoogleCloudDocumentaiV1beta2DocumentRevisionHumanReview",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageAnchor": {
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageAnchor",
      "description": "Referencing the visual context of the entity in the Document.pages. Page anchors can be cross-page, consist of multiple bounding polygons and optionally reference specific layout element types.",
      "type": "object",
      "properties": {
        "pageRefs": {
          "type": "array",
          "description": "One or more references to visual page elements",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3DocumentPageAnchorPageRef"
          }
        }
      }
    },
    "GoogleTypePostalAddress": {
      "description": "Represents a postal address, e.g. for postal delivery or payments addresses. Given a postal address, a postal service can deliver items to a premise, P.O. Box or similar. It is not intended to model geographical locations (roads, towns, mountains). In typical usage an address would be created via user input or from importing existing data, depending on the type of process. Advice on address input / editing: - Use an i18n-ready address widget such as https://github.com/google/libaddressinput) - Users should not be presented with UI elements for input or editing of fields outside countries where that field is used. For more guidance on how to use this schema, please see: https://support.google.com/business/answer/6397478",
      "id": "GoogleTypePostalAddress",
      "properties": {
        "recipients": {
          "items": {
            "type": "string"
          },
          "description": "Optional. The recipient at the address. This field may, under certain circumstances, contain multiline information. For example, it might contain \"care of\" information.",
          "type": "array"
        },
        "revision": {
          "type": "integer",
          "description": "The schema revision of the `PostalAddress`. This must be set to 0, which is the latest revision. All new revisions **must** be backward compatible with old revisions.",
          "format": "int32"
        },
        "addressLines": {
          "items": {
            "type": "string"
          },
          "description": "Unstructured address lines describing the lower levels of an address. Because values in address_lines do not have type information and may sometimes contain multiple values in a single field (e.g. \"Austin, TX\"), it is important that the line order is clear. The order of address lines should be \"envelope order\" for the country/region of the address. In places where this can vary (e.g. Japan), address_language is used to make it explicit (e.g. \"ja\" for large-to-small ordering and \"ja-Latn\" or \"en\" for small-to-large). This way, the most specific line of an address can be selected based on the language. The minimum permitted structural representation of an address consists of a region_code with all remaining information placed in the address_lines. It would be possible to format such an address very approximately without geocoding, but no semantic reasoning could be made about any of the address components until it was at least partially resolved. Creating an address only containing a region_code and address_lines, and then geocoding is the recommended way to handle completely unstructured addresses (as opposed to guessing which parts of the address should be localities or administrative areas).",
          "type": "array"
        },
        "administrativeArea": {
          "description": "Optional. Highest administrative subdivision which is used for postal addresses of a country or region. For example, this can be a state, a province, an oblast, or a prefecture. Specifically, for Spain this is the province and not the autonomous community (e.g. \"Barcelona\" and not \"Catalonia\"). Many countries don't use an administrative area in postal addresses. E.g. in Switzerland this should be left unpopulated.",
          "type": "string"
        },
        "regionCode": {
          "type": "string",
          "description": "Required. CLDR region code of the country/region of the address. This is never inferred and it is up to the user to ensure the value is correct. See http://cldr.unicode.org/ and http://www.unicode.org/cldr/charts/30/supplemental/territory_information.html for details. Example: \"CH\" for Switzerland."
        },
        "locality": {
          "description": "Optional. Generally refers to the city/town portion of the address. Examples: US city, IT comune, UK post town. In regions of the world where localities are not well defined or do not fit into this structure well, leave locality empty and use address_lines.",
          "type": "string"
        },
        "sublocality": {
          "type": "string",
          "description": "Optional. Sublocality of the address. For example, this can be neighborhoods, boroughs, districts."
        },
        "organization": {
          "type": "string",
          "description": "Optional. The name of the organization at the address."
        },
        "languageCode": {
          "type": "string",
          "description": "Optional. BCP-47 language code of the contents of this address (if known). This is often the UI language of the input form or is expected to match one of the languages used in the address' country/region, or their transliterated equivalents. This can affect formatting in certain countries, but is not critical to the correctness of the data and will never affect any validation or other non-formatting related operations. If this value is not known, it should be omitted (rather than specifying a possibly incorrect default). Examples: \"zh-Hant\", \"ja\", \"ja-Latn\", \"en\"."
        },
        "sortingCode": {
          "type": "string",
          "description": "Optional. Additional, country-specific, sorting code. This is not used in most regions. Where it is used, the value is either a string like \"CEDEX\", optionally followed by a number (e.g. \"CEDEX 7\"), or just a number alone, representing the \"sector code\" (Jamaica), \"delivery area indicator\" (Malawi) or \"post office indicator\" (e.g. Côte d'Ivoire)."
        },
        "postalCode": {
          "type": "string",
          "description": "Optional. Postal code of the address. Not all countries use or require postal codes to be present, but where they are used, they may trigger additional validation with other parts of the address (e.g. state/zip validation in the U.S.A.)."
        }
      },
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageTable": {
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageTable",
      "properties": {
        "detectedLanguages": {
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage"
          },
          "type": "array",
          "description": "A list of detected languages together with confidence."
        },
        "headerRows": {
          "description": "Header rows of the table.",
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageTableTableRow"
          }
        },
        "layout": {
          "description": "Layout for Table.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageLayout"
        },
        "bodyRows": {
          "type": "array",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentPageTableTableRow"
          },
          "description": "Body rows of the table."
        }
      },
      "description": "A table representation similar to HTML table structure.",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta1DocumentTextChange": {
      "id": "GoogleCloudDocumentaiV1beta1DocumentTextChange",
      "properties": {
        "textAnchor": {
          "description": "Provenance of the correction. Text anchor indexing into the Document.text. There can only be a single `TextAnchor.text_segments` element. If the start and end index of the text segment are the same, the text change is inserted before that index.",
          "$ref": "GoogleCloudDocumentaiV1beta1DocumentTextAnchor"
        },
        "provenance": {
          "description": "The history of this annotation.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta1DocumentProvenance"
          },
          "type": "array"
        },
        "changedText": {
          "description": "The text that replaces the text identified in the `text_anchor`.",
          "type": "string"
        }
      },
      "type": "object",
      "description": "This message is used for text changes aka. OCR corrections."
    },
    "GoogleCloudDocumentaiUiv1beta3DisableProcessorMetadata": {
      "type": "object",
      "id": "GoogleCloudDocumentaiUiv1beta3DisableProcessorMetadata",
      "properties": {
        "stateMessage": {
          "description": "A message providing more details about the current state of processing. For example, the error message if the operation is failed.",
          "type": "string"
        },
        "createTime": {
          "description": "The creation time of the operation.",
          "format": "google-datetime",
          "type": "string"
        },
        "updateTime": {
          "type": "string",
          "description": "The last update time of the operation.",
          "format": "google-datetime"
        },
        "state": {
          "type": "string",
          "enumDescriptions": [
            "The default value. This value is used if the state is omitted.",
            "Request operation is waiting for scheduling.",
            "Request is being processed.",
            "The operation is completed successfully.",
            "The operation was being cancelled.",
            "The operation was cancelled.",
            "The operation has failed."
          ],
          "description": "The state of the current disable processor operation.",
          "enum": [
            "STATE_UNSPECIFIED",
            "WAITING",
            "RUNNING",
            "SUCCEEDED",
            "CANCELLING",
            "CANCELLED",
            "FAILED"
          ]
        }
      },
      "description": "The long running operation metadata for disable processor method."
    },
    "GoogleCloudLocationLocation": {
      "type": "object",
      "description": "A resource that represents Google Cloud Platform location.",
      "id": "GoogleCloudLocationLocation",
      "properties": {
        "metadata": {
          "additionalProperties": {
            "type": "any",
            "description": "Properties of the object. Contains field @type with type URL."
          },
          "description": "Service-specific metadata. For example the available capacity at the given location.",
          "type": "object"
        },
        "name": {
          "type": "string",
          "description": "Resource name for the location, which may vary between implementations. For example: `\"projects/example-project/locations/us-east1\"`"
        },
        "labels": {
          "additionalProperties": {
            "type": "string"
          },
          "type": "object",
          "description": "Cross-service attributes for the location. For example {\"cloud.googleapis.com/region\": \"us-east1\"}"
        },
        "displayName": {
          "type": "string",
          "description": "The friendly name for this location, typically a nearby city name. For example, \"Tokyo\"."
        },
        "locationId": {
          "description": "The canonical id for this location. For example: `\"us-east1\"`.",
          "type": "string"
        }
      }
    },
    "GoogleCloudDocumentaiV1beta3DocumentPageDimension": {
      "properties": {
        "height": {
          "format": "float",
          "description": "Page height.",
          "type": "number"
        },
        "unit": {
          "type": "string",
          "description": "Dimension unit."
        },
        "width": {
          "format": "float",
          "description": "Page width.",
          "type": "number"
        }
      },
      "id": "GoogleCloudDocumentaiV1beta3DocumentPageDimension",
      "description": "Dimension for the page.",
      "type": "object"
    },
    "GoogleCloudDocumentaiV1beta3BatchProcessRequest": {
      "type": "object",
      "id": "GoogleCloudDocumentaiV1beta3BatchProcessRequest",
      "properties": {
        "inputConfigs": {
          "type": "array",
          "description": "The input config for each single document in the batch process.",
          "items": {
            "$ref": "GoogleCloudDocumentaiV1beta3BatchProcessRequestBatchInputConfig"
          }
        },
        "outputConfig": {
          "$ref": "GoogleCloudDocumentaiV1beta3BatchProcessRequestBatchOutputConfig",
          "description": "The overall output config for batch process."
        }
      },
      "description": "Request message for batch process document method."
    },
    "GoogleCloudDocumentaiV1beta1DocumentPageMatrix": {
      "type": "object",
      "description": "Representation for transformation matrix, intended to be compatible and used with OpenCV format for image manipulation.",
      "id": "GoogleCloudDocumentaiV1beta1DocumentPageMatrix",
      "properties": {
        "cols": {
          "format": "int32",
          "type": "integer",
          "description": "Number of columns in the matrix."
        },
        "rows": {
          "format": "int32",
          "type": "integer",
          "description": "Number of rows in the matrix."
        },
        "type": {
          "type": "integer",
          "description": "This encodes information about what data type the matrix uses. For example, 0 (CV_8U) is an unsigned 8-bit image. For the full list of OpenCV primitive data types, please refer to https://docs.opencv.org/4.3.0/d1/d1b/group__core__hal__interface.html",
          "format": "int32"
        },
        "data": {
          "type": "string",
          "description": "The matrix data.",
          "format": "byte"
        }
      }
    },
    "GoogleTypeTimeZone": {
      "type": "object",
      "description": "Represents a time zone from the [IANA Time Zone Database](https://www.iana.org/time-zones).",
      "id": "GoogleTypeTimeZone",
      "properties": {
        "id": {
          "description": "IANA Time Zone Database time zone, e.g. \"America/New_York\".",
          "type": "string"
        },
        "version": {
          "description": "Optional. IANA Time Zone Database version number, e.g. \"2019a\".",
          "type": "string"
        }
      }
    }
  },
  "revision": "20200828",
  "kind": "discovery#restDescription",
  "icons": {
    "x16": "http://www.google.com/images/icons/product/search-16.gif",
    "x32": "http://www.google.com/images/icons/product/search-32.gif"
  },
  "discoveryVersion": "v1",
  "version": "v1beta3",
  "canonicalName": "Document",
  "version_module": true,
  "batchPath": "batch",
  "ownerDomain": "google.com"
}