Types overview

GoogleCloudDocumentaiUiv1beta3BatchDeleteDocumentsMetadata

(No description provided)

Fields
`commonMetadata`	`object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)` The basic metadata of the long running operation.
`errorDocumentCount`	`integer (int32 format)` Total number of documents that failed to be deleted in storage.
`individualBatchDeleteStatuses[]`	`object (GoogleCloudDocumentaiUiv1beta3BatchDeleteDocumentsMetadataIndividualBatchDeleteStatus)` The list of response details of each document.
`totalDocumentCount`	`integer (int32 format)` Total number of documents deleting from dataset.

GoogleCloudDocumentaiUiv1beta3BatchDeleteDocumentsMetadataIndividualBatchDeleteStatus

The status of each individual document in the batch delete process.

Fields

Fields
`documentId`	`object (GoogleCloudDocumentaiUiv1beta3DocumentId)` The document id of the document.
`status`	`object (GoogleRpcStatus)` The status of deleting the document in storage.

documentId

object (GoogleCloudDocumentaiUiv1beta3DocumentId)

The document id of the document.

status

object (GoogleRpcStatus)

The status of deleting the document in storage.

GoogleCloudDocumentaiUiv1beta3BatchMoveDocumentsMetadata

(No description provided)

Fields
`commonMetadata`	`object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)` The basic metadata of the long running operation.
`destDatasetType`	`enum` The destination dataset split type.
Enum type. Can be one of the following:
`DATASET_SPLIT_TYPE_UNSPECIFIED`	Default value if the enum is not set.
`DATASET_SPLIT_TRAIN`	Identifies the train documents.
`DATASET_SPLIT_TEST`	Identifies the test documents.
`DATASET_SPLIT_UNASSIGNED`	Identifies the unassigned documents.

`destSplitType`	`enum` The destination dataset split type.
Enum type. Can be one of the following:
`DATASET_SPLIT_TYPE_UNSPECIFIED`	Default value if the enum is not set.
`DATASET_SPLIT_TRAIN`	Identifies the train documents.
`DATASET_SPLIT_TEST`	Identifies the test documents.
`DATASET_SPLIT_UNASSIGNED`	Identifies the unassigned documents.

`individualBatchMoveStatuses[]`	`object (GoogleCloudDocumentaiUiv1beta3BatchMoveDocumentsMetadataIndividualBatchMoveStatus)` The list of response details of each document.

GoogleCloudDocumentaiUiv1beta3BatchMoveDocumentsMetadataIndividualBatchMoveStatus

The status of each individual document in the batch move process.

Fields

Fields
`documentId`	`object (GoogleCloudDocumentaiUiv1beta3DocumentId)` The document id of the document.
`status`	`object (GoogleRpcStatus)` The status of moving the document.

documentId

object (GoogleCloudDocumentaiUiv1beta3DocumentId)

The document id of the document.

status

object (GoogleRpcStatus)

The status of moving the document.

GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata

The common metadata for long running operations.

Fields
`createTime`	`string (Timestamp format)` The creation time of the operation.
`resource`	`string` A related resource to this operation.
`state`	`enum` The state of the operation.
Enum type. Can be one of the following:
`STATE_UNSPECIFIED`	Unspecified state.
`RUNNING`	Operation is still running.
`CANCELLING`	Operation is being cancelled.
`SUCCEEDED`	Operation succeeded.
`FAILED`	Operation failed.
`CANCELLED`	Operation is cancelled.

`stateMessage`	`string` A message providing more details about the current state of processing.
`updateTime`	`string (Timestamp format)` The last update time of the operation.

GoogleCloudDocumentaiUiv1beta3CreateLabelerPoolOperationMetadata

The long running operation metadata for CreateLabelerPool.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiUiv1beta3DeleteDataLabelingJobOperationMetadata

The long running operation metadata for DeleteDataLabelingJob.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiUiv1beta3DeleteLabelerPoolOperationMetadata

The long running operation metadata for DeleteLabelerPool.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiUiv1beta3DeleteProcessorMetadata

The long running operation metadata for delete processor method.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiUiv1beta3DeleteProcessorVersionMetadata

The long running operation metadata for delete processor version method.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiUiv1beta3DeployProcessorVersionMetadata

The long running operation metadata for deploy processor version method.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiUiv1beta3DisableProcessorMetadata

The long running operation metadata for disable processor method.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiUiv1beta3DocumentId

Document Identifier.

Fields

Fields
`gcsManagedDocId`	`object (GoogleCloudDocumentaiUiv1beta3DocumentIdGCSManagedDocumentId)` (No description provided)
`revisionReference`	`object (GoogleCloudDocumentaiUiv1beta3RevisionReference)` Points to a specific revision of the document if set.

gcsManagedDocId

object (GoogleCloudDocumentaiUiv1beta3DocumentIdGCSManagedDocumentId)

(No description provided)

revisionReference

object (GoogleCloudDocumentaiUiv1beta3RevisionReference)

Points to a specific revision of the document if set.

GoogleCloudDocumentaiUiv1beta3DocumentIdGCSManagedDocumentId

Identifies a document uniquely within the scope of a dataset in the Cloud Storage option.

Fields

Fields
`cwDocId`	`string` Id of the document (indexed) managed by Content Warehouse.
`gcsUri`	`string` Required. The Cloud Storage uri where the actual document is stored.

cwDocId

string

Id of the document (indexed) managed by Content Warehouse.

gcsUri

string

Required. The Cloud Storage uri where the actual document is stored.

GoogleCloudDocumentaiUiv1beta3EnableProcessorMetadata

The long running operation metadata for enable processor method.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiUiv1beta3EvaluateProcessorVersionMetadata

Metadata of the EvaluateProcessorVersion method.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiUiv1beta3EvaluateProcessorVersionResponse

Metadata of the EvaluateProcessorVersion method.

Fields

Fields
`evaluation`	`string` The resource name of the created evaluation.

evaluation

string

The resource name of the created evaluation.

GoogleCloudDocumentaiUiv1beta3ExportDocumentsMetadata

Metadata of the batch export documents operation.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

individualExportStatuses[]

object (GoogleCloudDocumentaiUiv1beta3ExportDocumentsMetadataIndividualExportStatus)

The list of response details of each document.

splitExportStats[]

object (GoogleCloudDocumentaiUiv1beta3ExportDocumentsMetadataSplitExportStat)

The list of statistics for each dataset split type.

GoogleCloudDocumentaiUiv1beta3ExportDocumentsMetadataIndividualExportStatus

The status of each individual document in the export process.

Fields

Fields
`documentId`	`object (GoogleCloudDocumentaiUiv1beta3DocumentId)` The path to source docproto of the document.
`outputGcsDestination`	`string` The output_gcs_destination of the exported document if it was successful, otherwise empty.
`status`	`object (GoogleRpcStatus)` The status of the exporting of the document.

documentId

object (GoogleCloudDocumentaiUiv1beta3DocumentId)

The path to source docproto of the document.

outputGcsDestination

string

The output_gcs_destination of the exported document if it was successful, otherwise empty.

status

object (GoogleRpcStatus)

The status of the exporting of the document.

GoogleCloudDocumentaiUiv1beta3ExportDocumentsMetadataSplitExportStat

The statistic representing a dataset split type for this export.

Fields
`splitType`	`enum` The dataset split type.
Enum type. Can be one of the following:
`DATASET_SPLIT_TYPE_UNSPECIFIED`	Default value if the enum is not set.
`DATASET_SPLIT_TRAIN`	Identifies the train documents.
`DATASET_SPLIT_TEST`	Identifies the test documents.
`DATASET_SPLIT_UNASSIGNED`	Identifies the unassigned documents.

`totalDocumentCount`	`integer (int32 format)` Total number of documents with the given dataset split type to be exported.

GoogleCloudDocumentaiUiv1beta3ExportProcessorVersionMetadata

Metadata message associated with the ExportProcessorVersion operation.

Fields

Fields
`commonMetadata`	`object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)` The common metadata about the operation.

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The common metadata about the operation.

GoogleCloudDocumentaiUiv1beta3ExportProcessorVersionResponse

Response message associated with the ExportProcessorVersion operation.

Fields

Fields
`gcsUri`	`string` The Cloud Storage URI containing the output artifacts.

gcsUri

string

The Cloud Storage URI containing the output artifacts.

GoogleCloudDocumentaiUiv1beta3ImportDocumentsMetadata

Metadata of the import document operation.

Fields
`commonMetadata`	`object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)` The basic metadata of the long running operation.
`importConfigValidationResults[]`	`object (GoogleCloudDocumentaiUiv1beta3ImportDocumentsMetadataImportConfigValidationResult)` Validation statuses of the batch documents import config.
`individualImportStatuses[]`	`object (GoogleCloudDocumentaiUiv1beta3ImportDocumentsMetadataIndividualImportStatus)` The list of response details of each document.
`totalDocumentCount`	`integer (int32 format)` Total number of the documents that are qualified for importing.

GoogleCloudDocumentaiUiv1beta3ImportDocumentsMetadataImportConfigValidationResult

The validation status of each import config. Status is set to errors if there is no documents to import in the import_config, or OK if the operation will try to proceed at least one document.

Fields

Fields
`inputGcsSource`	`string` The source Cloud Storage URI specified in the import config.
`status`	`object (GoogleRpcStatus)` The validation status of import config.

inputGcsSource

string

The source Cloud Storage URI specified in the import config.

status

object (GoogleRpcStatus)

The validation status of import config.

GoogleCloudDocumentaiUiv1beta3ImportDocumentsMetadataIndividualImportStatus

The status of each individual document in the import process.

Fields

Fields
`inputGcsSource`	`string` The source Cloud Storage URI of the document.
`outputGcsDestination`	`string` The output_gcs_destination of the processed document if it was successful, otherwise empty.
`status`	`object (GoogleRpcStatus)` The status of the importing of the document.

inputGcsSource

string

The source Cloud Storage URI of the document.

outputGcsDestination

string

The output_gcs_destination of the processed document if it was successful, otherwise empty.

status

object (GoogleRpcStatus)

The status of the importing of the document.

GoogleCloudDocumentaiUiv1beta3ResyncDatasetMetadata

The metadata proto of ResyncDataset method.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

datasetResyncStatuses[]

object (GoogleCloudDocumentaiUiv1beta3ResyncDatasetMetadataDatasetResyncStatus)

The list of dataset resync statuses. Not checked when dataset_documents is specified in ResyncRequest.

individualDocumentResyncStatuses[]

object (GoogleCloudDocumentaiUiv1beta3ResyncDatasetMetadataIndividualDocumentResyncStatus)

The list of document resync statuses. The same document could have multiple individual_document_resync_statuses if it has multiple inconsistencies.

GoogleCloudDocumentaiUiv1beta3ResyncDatasetMetadataDatasetResyncStatus

Resync status against inconsistency types on the dataset level.

Fields
`datasetInconsistencyType`	`enum` The type of the inconsistency of the dataset.
Enum type. Can be one of the following:
`DATASET_INCONSISTENCY_TYPE_UNSPECIFIED`	Default value.
`DATASET_INCONSISTENCY_TYPE_NO_STORAGE_MARKER`	The marker file under the dataset folder is not found.

`status`	`object (GoogleRpcStatus)` The status of resyncing the dataset with regards to the detected inconsistency. Empty if `validate_only` is true in the request.

GoogleCloudDocumentaiUiv1beta3ResyncDatasetMetadataIndividualDocumentResyncStatus

Resync status for each document per inconsistency type.

Fields
`documentId`	`object (GoogleCloudDocumentaiUiv1beta3DocumentId)` The document identifier.
`documentInconsistencyType`	`enum` The type of document inconsistency.
Enum type. Can be one of the following:
`DOCUMENT_INCONSISTENCY_TYPE_UNSPECIFIED`	Default value.
`DOCUMENT_INCONSISTENCY_TYPE_INVALID_DOCPROTO`	The document proto is invalid.
`DOCUMENT_INCONSISTENCY_TYPE_MISMATCHED_METADATA`	Indexed docproto metadata is mismatched.
`DOCUMENT_INCONSISTENCY_TYPE_NO_PAGE_IMAGE`	The page image or thumbnails are missing.

`status`	`object (GoogleRpcStatus)` The status of resyncing the document with regards to the detected inconsistency. Empty if `validate_only` is true in the request.

GoogleCloudDocumentaiUiv1beta3RevisionReference

The revision reference specifies which revision on the document to read.

Fields
`latestProcessorVersion`	`string` Reads the revision generated by the processor version.
`revisionCase`	`enum` Reads the revision by the predefined case.
Enum type. Can be one of the following:
`REVISION_CASE_UNSPECIFIED`	Unspecified case, fallback to read the first (OCR) revision.
`LATEST_HUMAN_REVIEW`	The latest revision made by a human.
`LATEST_TIMESTAMP`	The latest revision based on timestamp.

`revisionId`	`string` Reads the revision given by the id.

GoogleCloudDocumentaiUiv1beta3SetDefaultProcessorVersionMetadata

The long running operation metadata for set default processor version method.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiUiv1beta3TrainProcessorVersionMetadata

The metadata that represents a processor version being created.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

testDatasetValidation

object (GoogleCloudDocumentaiUiv1beta3TrainProcessorVersionMetadataDatasetValidation)

The test dataset validation information.

trainingDatasetValidation

object (GoogleCloudDocumentaiUiv1beta3TrainProcessorVersionMetadataDatasetValidation)

The training dataset validation information.

GoogleCloudDocumentaiUiv1beta3TrainProcessorVersionMetadataDatasetValidation

The dataset validation information. This includes any and all errors with documents and the dataset.

Fields
`datasetErrorCount`	`integer (int32 format)` The total number of dataset errors.
`datasetErrors[]`	`object (GoogleRpcStatus)` Error information for the dataset as a whole. A maximum of 10 dataset errors will be returned. A single dataset error is terminal for training.
`documentErrorCount`	`integer (int32 format)` The total number of document errors.
`documentErrors[]`	`object (GoogleRpcStatus)` Error information pertaining to specific documents. A maximum of 10 document errors will be returned. Any document with errors will not be used throughout training.

GoogleCloudDocumentaiUiv1beta3TrainProcessorVersionResponse

The response for the TrainProcessorVersion method.

Fields

Fields
`processorVersion`	`string` The resource name of the processor version produced by training.

processorVersion

string

The resource name of the processor version produced by training.

GoogleCloudDocumentaiUiv1beta3UndeployProcessorVersionMetadata

The long running operation metadata for the undeploy processor version method.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiUiv1beta3UpdateDatasetOperationMetadata

(No description provided)

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiUiv1beta3UpdateHumanReviewConfigMetadata

The long running operation metadata for updating the human review configuration.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiUiv1beta3UpdateLabelerPoolOperationMetadata

The long running operation metadata for UpdateLabelerPool.

Fields

commonMetadata

object (GoogleCloudDocumentaiUiv1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1BatchProcessMetadata

The long running operation metadata for batch process method.

Fields
`createTime`	`string (Timestamp format)` The creation time of the operation.
`individualProcessStatuses[]`	`object (GoogleCloudDocumentaiV1BatchProcessMetadataIndividualProcessStatus)` The list of response details of each document.
`state`	`enum` The state of the current batch processing.
Enum type. Can be one of the following:
`STATE_UNSPECIFIED`	The default value. This value is used if the state is omitted.
`WAITING`	Request operation is waiting for scheduling.
`RUNNING`	Request is being processed.
`SUCCEEDED`	The batch processing completed successfully.
`CANCELLING`	The batch processing was being cancelled.
`CANCELLED`	The batch processing was cancelled.
`FAILED`	The batch processing has failed.

`stateMessage`	`string` A message providing more details about the current state of processing. For example, the error message if the operation is failed.
`updateTime`	`string (Timestamp format)` The last update time of the operation.

GoogleCloudDocumentaiV1BatchProcessMetadataIndividualProcessStatus

The status of a each individual document in the batch process.

Fields
`humanReviewStatus`	`object (GoogleCloudDocumentaiV1HumanReviewStatus)` The status of human review on the processed document.
`inputGcsSource`	`string` 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.
`outputGcsDestination`	`string` The output_gcs_destination (in the request as `output_gcs_destination`) of the processed document if it was successful, otherwise empty.
`status`	`object (GoogleRpcStatus)` The status processing the document.

GoogleCloudDocumentaiV1CommonOperationMetadata

The common metadata for long running operations.

Fields
`createTime`	`string (Timestamp format)` The creation time of the operation.
`resource`	`string` A related resource to this operation.
`state`	`enum` The state of the operation.
Enum type. Can be one of the following:
`STATE_UNSPECIFIED`	Unspecified state.
`RUNNING`	Operation is still running.
`CANCELLING`	Operation is being cancelled.
`SUCCEEDED`	Operation succeeded.
`FAILED`	Operation failed.
`CANCELLED`	Operation is cancelled.

`stateMessage`	`string` A message providing more details about the current state of processing.
`updateTime`	`string (Timestamp format)` The last update time of the operation.

GoogleCloudDocumentaiV1DeleteProcessorMetadata

The long running operation metadata for delete processor method.

Fields

Fields
`commonMetadata`	`object (GoogleCloudDocumentaiV1CommonOperationMetadata)` The basic metadata of the long running operation.

commonMetadata

object (GoogleCloudDocumentaiV1CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1DeleteProcessorVersionMetadata

The long running operation metadata for delete processor version method.

Fields

Fields
`commonMetadata`	`object (GoogleCloudDocumentaiV1CommonOperationMetadata)` The basic metadata of the long running operation.

commonMetadata

object (GoogleCloudDocumentaiV1CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1DeployProcessorVersionMetadata

The long running operation metadata for deploy processor version method.

Fields

Fields
`commonMetadata`	`object (GoogleCloudDocumentaiV1CommonOperationMetadata)` The basic metadata of the long running operation.

commonMetadata

object (GoogleCloudDocumentaiV1CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1DisableProcessorMetadata

The long running operation metadata for disable processor method.

Fields

Fields
`commonMetadata`	`object (GoogleCloudDocumentaiV1CommonOperationMetadata)` The basic metadata of the long running operation.

commonMetadata

object (GoogleCloudDocumentaiV1CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1EnableProcessorMetadata

The long running operation metadata for enable processor method.

Fields

Fields
`commonMetadata`	`object (GoogleCloudDocumentaiV1CommonOperationMetadata)` The basic metadata of the long running operation.

commonMetadata

object (GoogleCloudDocumentaiV1CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1HumanReviewStatus

The status of human review on a processed document.

Fields
`humanReviewOperation`	`string` The name of the operation triggered by the processed document. This field is populated only when the [state] is [HUMAN_REVIEW_IN_PROGRESS]. It has the same response type and metadata as the long running operation returned by [ReviewDocument] method.
`state`	`enum` The state of human review on the processing request.
Enum type. Can be one of the following:
`STATE_UNSPECIFIED`	Human review state is unspecified. Most likely due to an internal error.
`SKIPPED`	Human review is skipped for the document. This can happen because human review is not enabled on the processor or the processing request has been set to skip this document.
`VALIDATION_PASSED`	Human review validation is triggered and passed, so no review is needed.
`IN_PROGRESS`	Human review validation is triggered and the document is under review.
`ERROR`	Some error happened during triggering human review, see the [state_message] for details.

`stateMessage`	`string` A message providing more details about the human review state.

GoogleCloudDocumentaiV1ReviewDocumentOperationMetadata

The long running operation metadata for review document method.

Fields

Fields
`commonMetadata`	`object (GoogleCloudDocumentaiV1CommonOperationMetadata)` The basic metadata of the long running operation.
`questionId`	`string` The Crowd Compute question ID.

commonMetadata

object (GoogleCloudDocumentaiV1CommonOperationMetadata)

The basic metadata of the long running operation.

questionId

string

The Crowd Compute question ID.

GoogleCloudDocumentaiV1ReviewDocumentResponse

Response message for review document method.

Fields
`gcsDestination`	`string` The Cloud Storage uri for the human reviewed document if the review is succeeded.
`rejectionReason`	`string` The reason why the review is rejected by reviewer.
`state`	`enum` The state of the review operation.
Enum type. Can be one of the following:
`STATE_UNSPECIFIED`	The default value. This value is used if the state is omitted.
`REJECTED`	The review operation is rejected by the reviewer.
`SUCCEEDED`	The review operation is succeeded.

GoogleCloudDocumentaiV1SetDefaultProcessorVersionMetadata

The long running operation metadata for set default processor version method.

Fields

Fields
`commonMetadata`	`object (GoogleCloudDocumentaiV1CommonOperationMetadata)` The basic metadata of the long running operation.

commonMetadata

object (GoogleCloudDocumentaiV1CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1UndeployProcessorVersionMetadata

The long running operation metadata for the undeploy processor version method.

Fields

Fields
`commonMetadata`	`object (GoogleCloudDocumentaiV1CommonOperationMetadata)` The basic metadata of the long running operation.

commonMetadata

object (GoogleCloudDocumentaiV1CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1beta1Barcode

Encodes the detailed information of a barcode.

Fields

format

string

Format of a barcode. The supported formats are: - CODE_128: Code 128 type. - CODE_39: Code 39 type. - CODE_93: Code 93 type. - CODABAR: Codabar type. - DATA_MATRIX: 2D Data Matrix type. - ITF: ITF type. - EAN_13: EAN-13 type. - EAN_8: EAN-8 type. - QR_CODE: 2D QR code type. - UPC_A: UPC-A type. - UPC_E: UPC-E type. - PDF417: PDF417 type. - AZTEC: 2D Aztec code type. - DATABAR: GS1 DataBar code type.

rawValue

string

Raw value encoded in the barcode. For example: 'MEBKM:TITLE:Google;URL:https://www.google.com;;'.

valueFormat

string

Value format describes the format of the value that a barcode encodes. The supported formats are: - CONTACT_INFO: Contact information. - EMAIL: Email address. - ISBN: ISBN identifier. - PHONE: Phone number. - PRODUCT: Product. - SMS: SMS message. - TEXT: Text string. - URL: URL address. - WIFI: Wifi information. - GEO: Geo-localization. - CALENDAR_EVENT: Calendar event. - DRIVER_LICENSE: Driver's license.

GoogleCloudDocumentaiV1beta1BatchProcessDocumentsResponse

Response to an batch document processing request. This is returned in the LRO Operation after the operation is complete.

Fields

responses[]

object (GoogleCloudDocumentaiV1beta1ProcessDocumentResponse)

Responses for each individual document.

GoogleCloudDocumentaiV1beta1BoundingPoly

A bounding polygon for the detected image annotation.

Fields

normalizedVertices[]

object (GoogleCloudDocumentaiV1beta1NormalizedVertex)

The bounding polygon normalized vertices.

vertices[]

object (GoogleCloudDocumentaiV1beta1Vertex)

The bounding polygon vertices.

GoogleCloudDocumentaiV1beta1Document

Document represents the canonical document resource in Document AI. It is an interchange format that provides insights into documents and allows for collaboration between users and Document AI to iterate and optimize for quality.

Fields
`content`	`string (bytes format)` Optional. 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.
`entities[]`	`object (GoogleCloudDocumentaiV1beta1DocumentEntity)` A list of entities detected on Document.text. For document shards, entities in this list may cross shard boundaries.
`entityRelations[]`	`object (GoogleCloudDocumentaiV1beta1DocumentEntityRelation)` Placeholder. Relationship among Document.entities.
`error`	`object (GoogleRpcStatus)` Any error that occurred while processing this document.
`mimeType`	`string` 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.
`pages[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPage)` Visual page layout for the Document.
`revisions[]`	`object (GoogleCloudDocumentaiV1beta1DocumentRevision)` Placeholder. Revision history of this document.
`shardInfo`	`object (GoogleCloudDocumentaiV1beta1DocumentShardInfo)` 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.
`text`	`string` Optional. UTF-8 encoded text in reading order from the document.
`textChanges[]`	`object (GoogleCloudDocumentaiV1beta1DocumentTextChange)` Placeholder. 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.
`textStyles[]`	`object (GoogleCloudDocumentaiV1beta1DocumentStyle)` Styles for the Document.text.
`uri`	`string` Optional. 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 for more info.

GoogleCloudDocumentaiV1beta1DocumentEntity

An entity that could be a phrase in the text or a property that belongs to the document. It is a known entity type, such as a person, an organization, or location.

Fields
`confidence`	`number (float format)` Optional. Confidence of detected Schema entity. Range `[0, 1]`.
`id`	`string` Optional. Canonical id. This will be a unique value in the entity list for this document.
`mentionId`	`string` Optional. Deprecated. Use `id` field instead.
`mentionText`	`string` Optional. Text value of the entity e.g. `1600 Amphitheatre Pkwy`.
`normalizedValue`	`object (GoogleCloudDocumentaiV1beta1DocumentEntityNormalizedValue)` 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`	`object (GoogleCloudDocumentaiV1beta1DocumentPageAnchor)` Optional. Represents the provenance of this entity wrt. the location on the page where it was found.
`properties[]`	`object (GoogleCloudDocumentaiV1beta1DocumentEntity)` Optional. Entities can be nested to form a hierarchical data structure representing the content in the document.
`provenance`	`object (GoogleCloudDocumentaiV1beta1DocumentProvenance)` Optional. The history of this annotation.
`redacted`	`boolean` Optional. Whether the entity will be redacted for de-identification purposes.
`textAnchor`	`object (GoogleCloudDocumentaiV1beta1DocumentTextAnchor)` Optional. Provenance of the entity. Text anchor indexing into the Document.text.
`type`	`string` Required. Entity type from a schema e.g. `Address`.

GoogleCloudDocumentaiV1beta1DocumentEntityNormalizedValue

Parsed and normalized entity value.

Fields
`addressValue`	`object (GoogleTypePostalAddress)` Postal address. See also: https://github.com/googleapis/googleapis/blob/master/google/type/postal_address.proto
`booleanValue`	`boolean` Boolean value. Can be used for entities with binary values, or for checkboxes.
`dateValue`	`object (GoogleTypeDate)` Date value. Includes year, month, day. See also: https://github.com/googleapis/googleapis/blob/master/google/type/date.proto
`datetimeValue`	`object (GoogleTypeDateTime)` DateTime value. Includes date, time, and timezone. See also: https://github.com/googleapis/googleapis/blob/master/google/type/datetime.proto
`floatValue`	`number (float format)` Float value.
`integerValue`	`integer (int32 format)` Integer value.
`moneyValue`	`object (GoogleTypeMoney)` Money value. See also: https://github.com/googleapis/googleapis/blob/master/google/type/money.proto
`text`	`string` Optional. An optional field to store a normalized string. For some entity types, one of respective `structured_value` fields may also be populated. Also not all the types of `structured_value` will be normalized. For example, some processors may not generate `float` or `integer` normalized text by default. Below are sample formats mapped to structured values. - 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.

GoogleCloudDocumentaiV1beta1DocumentEntityRelation

Relationship between Entities.

Fields

objectId

string

Object entity id.

relation

string

Relationship description.

subjectId

string

Subject entity id.

GoogleCloudDocumentaiV1beta1DocumentPage

A page in a Document.

Fields
`blocks[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageBlock)` 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.
`detectedBarcodes[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageDetectedBarcode)` A list of detected barcodes.
`detectedLanguages[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage)` A list of detected languages together with confidence.
`dimension`	`object (GoogleCloudDocumentaiV1beta1DocumentPageDimension)` Physical dimension of the page.
`formFields[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageFormField)` A list of visually detected form fields on the page.
`image`	`object (GoogleCloudDocumentaiV1beta1DocumentPageImage)` 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.
`imageQualityScores`	`object (GoogleCloudDocumentaiV1beta1DocumentPageImageQualityScores)` Image Quality Scores.
`layout`	`object (GoogleCloudDocumentaiV1beta1DocumentPageLayout)` Layout for the page.
`lines[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageLine)` A list of visually detected text lines on the page. A collection of tokens that a human would perceive as a line.
`pageNumber`	`integer (int32 format)` 1-based index for current Page in a parent Document. Useful when a page is taken out of a Document for individual processing.
`paragraphs[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageParagraph)` A list of visually detected text paragraphs on the page. A collection of lines that a human would perceive as a paragraph.
`provenance`	`object (GoogleCloudDocumentaiV1beta1DocumentProvenance)` The history of this page.
`symbols[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageSymbol)` A list of visually detected symbols on the page.
`tables[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageTable)` A list of visually detected tables on the page.
`tokens[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageToken)` A list of visually detected tokens on the page.
`transforms[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageMatrix)` Transformation matrices that were applied to the original document image to produce Page.image.
`visualElements[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageVisualElement)` A list of detected non-text visual elements e.g. checkbox, signature etc. on the page.

GoogleCloudDocumentaiV1beta1DocumentPageAnchor

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.

Fields

pageRefs[]

object (GoogleCloudDocumentaiV1beta1DocumentPageAnchorPageRef)

One or more references to visual page elements

GoogleCloudDocumentaiV1beta1DocumentPageAnchorPageRef

Represents a weak reference to a page element within a document.

Fields
`boundingPoly`	`object (GoogleCloudDocumentaiV1beta1BoundingPoly)` Optional. Identifies the bounding polygon of a layout element on the page.
`confidence`	`number (float format)` Optional. Confidence of detected page element, if applicable. Range `[0, 1]`.
`layoutId`	`string` Optional. Deprecated. Use PageRef.bounding_poly instead.
`layoutType`	`enum` Optional. The type of the layout element that is being referenced if any.
Enum type. Can be one of the following:
`LAYOUT_TYPE_UNSPECIFIED`	Layout Unspecified.
`BLOCK`	References a Page.blocks element.
`PARAGRAPH`	References a Page.paragraphs element.
`LINE`	References a Page.lines element.
`TOKEN`	References a Page.tokens element.
`VISUAL_ELEMENT`	References a Page.visual_elements element.
`TABLE`	Refrrences a Page.tables element.
`FORM_FIELD`	References a Page.form_fields element.

`page`	`string (int64 format)` Required. Index into the Document.pages element, for example using `Document.pages` to locate the related page element. This field is skipped when its value is the default `0`. See https://developers.google.com/protocol-buffers/docs/proto3#json.

GoogleCloudDocumentaiV1beta1DocumentPageBlock

A block has a set of lines (collected into paragraphs) that have a common line-spacing and orientation.

Fields

detectedLanguages[]

object (GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage)

A list of detected languages together with confidence.

layout

object (GoogleCloudDocumentaiV1beta1DocumentPageLayout)

Layout for Block.

provenance

object (GoogleCloudDocumentaiV1beta1DocumentProvenance)

The history of this annotation.

GoogleCloudDocumentaiV1beta1DocumentPageDetectedBarcode

A detected barcode.

Fields

barcode

object (GoogleCloudDocumentaiV1beta1Barcode)

Detailed barcode information of the DetectedBarcode.

layout

object (GoogleCloudDocumentaiV1beta1DocumentPageLayout)

Layout for DetectedBarcode.

GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage

Detected language for a structural component.

Fields

confidence

number (float format)

Confidence of detected language. Range [0, 1].

languageCode

string

The BCP-47 language code, such as en-US or sr-Latn. For more information, see https://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

GoogleCloudDocumentaiV1beta1DocumentPageDimension

Dimension for the page.

Fields

height

number (float format)

Page height.

unit

string

Dimension unit.

width

number (float format)

Page width.

GoogleCloudDocumentaiV1beta1DocumentPageFormField

A form field detected on the page.

Fields
`correctedKeyText`	`string` Created for Labeling UI to export key text. If corrections were made to the text identified by the `field_name.text_anchor`, this field will contain the correction.
`correctedValueText`	`string` Created for Labeling UI to export value text. If corrections were made to the text identified by the `field_value.text_anchor`, this field will contain the correction.
`fieldName`	`object (GoogleCloudDocumentaiV1beta1DocumentPageLayout)` Layout for the FormField name. e.g. `Address`, `Email`, `Grand total`, `Phone number`, etc.
`fieldValue`	`object (GoogleCloudDocumentaiV1beta1DocumentPageLayout)` Layout for the FormField value.
`nameDetectedLanguages[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage)` A list of detected languages for name together with confidence.
`provenance`	`object (GoogleCloudDocumentaiV1beta1DocumentProvenance)` The history of this annotation.
`valueDetectedLanguages[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage)` A list of detected languages for value together with confidence.
`valueType`	`string` 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`

GoogleCloudDocumentaiV1beta1DocumentPageImage

Rendered image contents for this page.

Fields
`content`	`string (bytes format)` Raw byte content of the image.
`height`	`integer (int32 format)` Height of the image in pixels.
`mimeType`	`string` Encoding mime type for the image.
`width`	`integer (int32 format)` Width of the image in pixels.

GoogleCloudDocumentaiV1beta1DocumentPageImageQualityScores

Image Quality Scores for the page image

Fields

detectedDefects[]

object (GoogleCloudDocumentaiV1beta1DocumentPageImageQualityScoresDetectedDefect)

A list of detected defects.

qualityScore

number (float format)

The overall quality score. Range [0, 1] where 1 is perfect quality.

GoogleCloudDocumentaiV1beta1DocumentPageImageQualityScoresDetectedDefect

Image Quality Defects

Fields

confidence

number (float format)

Confidence of detected defect. Range [0, 1] where 1 indicates strong confidence of that the defect exists.

type

string

Name of the defect type. Supported values are: - quality/defect_blurry - quality/defect_noisy - quality/defect_dark - quality/defect_faint - quality/defect_text_too_small - quality/defect_document_cutoff - quality/defect_text_cutoff - quality/defect_glare

GoogleCloudDocumentaiV1beta1DocumentPageLayout

Visual element describing a layout unit on a page.

Fields
`boundingPoly`	`object (GoogleCloudDocumentaiV1beta1BoundingPoly)` The bounding polygon for the Layout.
`confidence`	`number (float format)` 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`	`enum` Detected orientation for the Layout.
Enum type. Can be one of the following:
`ORIENTATION_UNSPECIFIED`	Unspecified orientation.
`PAGE_UP`	Orientation is aligned with page up.
`PAGE_RIGHT`	Orientation is aligned with page right. Turn the head 90 degrees clockwise from upright to read.
`PAGE_DOWN`	Orientation is aligned with page down. Turn the head 180 degrees from upright to read.
`PAGE_LEFT`	Orientation is aligned with page left. Turn the head 90 degrees counterclockwise from upright to read.

`textAnchor`	`object (GoogleCloudDocumentaiV1beta1DocumentTextAnchor)` Text anchor indexing into the Document.text.

GoogleCloudDocumentaiV1beta1DocumentPageLine

A collection of tokens that a human would perceive as a line. Does not cross column boundaries, can be horizontal, vertical, etc.

Fields

detectedLanguages[]

object (GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage)

A list of detected languages together with confidence.

layout

object (GoogleCloudDocumentaiV1beta1DocumentPageLayout)

Layout for Line.

provenance

object (GoogleCloudDocumentaiV1beta1DocumentProvenance)

The history of this annotation.

GoogleCloudDocumentaiV1beta1DocumentPageMatrix

Representation for transformation matrix, intended to be compatible and used with OpenCV format for image manipulation.

Fields
`cols`	`integer (int32 format)` Number of columns in the matrix.
`data`	`string (bytes format)` The matrix data.
`rows`	`integer (int32 format)` Number of rows in the matrix.
`type`	`integer (int32 format)` 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/groupcorehal__interface.html

GoogleCloudDocumentaiV1beta1DocumentPageParagraph

A collection of lines that a human would perceive as a paragraph.

Fields

detectedLanguages[]

object (GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage)

A list of detected languages together with confidence.

layout

object (GoogleCloudDocumentaiV1beta1DocumentPageLayout)

Layout for Paragraph.

provenance

object (GoogleCloudDocumentaiV1beta1DocumentProvenance)

The history of this annotation.

GoogleCloudDocumentaiV1beta1DocumentPageSymbol

A detected symbol.

Fields

detectedLanguages[]

object (GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage)

A list of detected languages together with confidence.

layout

object (GoogleCloudDocumentaiV1beta1DocumentPageLayout)

Layout for Symbol.

GoogleCloudDocumentaiV1beta1DocumentPageTable

A table representation similar to HTML table structure.

Fields
`bodyRows[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageTableTableRow)` Body rows of the table.
`detectedLanguages[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage)` A list of detected languages together with confidence.
`headerRows[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageTableTableRow)` Header rows of the table.
`layout`	`object (GoogleCloudDocumentaiV1beta1DocumentPageLayout)` Layout for Table.
`provenance`	`object (GoogleCloudDocumentaiV1beta1DocumentProvenance)` The history of this table.

GoogleCloudDocumentaiV1beta1DocumentPageTableTableCell

A cell representation inside the table.

Fields
`colSpan`	`integer (int32 format)` How many columns this cell spans.
`detectedLanguages[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage)` A list of detected languages together with confidence.
`layout`	`object (GoogleCloudDocumentaiV1beta1DocumentPageLayout)` Layout for TableCell.
`rowSpan`	`integer (int32 format)` How many rows this cell spans.

GoogleCloudDocumentaiV1beta1DocumentPageTableTableRow

A row of table cells.

Fields

cells[]

object (GoogleCloudDocumentaiV1beta1DocumentPageTableTableCell)

Cells that make up this row.

GoogleCloudDocumentaiV1beta1DocumentPageToken

A detected token.

Fields
`detectedBreak`	`object (GoogleCloudDocumentaiV1beta1DocumentPageTokenDetectedBreak)` Detected break at the end of a Token.
`detectedLanguages[]`	`object (GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage)` A list of detected languages together with confidence.
`layout`	`object (GoogleCloudDocumentaiV1beta1DocumentPageLayout)` Layout for Token.
`provenance`	`object (GoogleCloudDocumentaiV1beta1DocumentProvenance)` The history of this annotation.

GoogleCloudDocumentaiV1beta1DocumentPageTokenDetectedBreak

Detected break at the end of a Token.

Fields
`type`	`enum` Detected break type.
Enum type. Can be one of the following:
`TYPE_UNSPECIFIED`	Unspecified break type.
`SPACE`	A single whitespace.
`WIDE_SPACE`	A wider whitespace.
`HYPHEN`	A hyphen that indicates that a token has been split across lines.

GoogleCloudDocumentaiV1beta1DocumentPageVisualElement

Detected non-text visual elements e.g. checkbox, signature etc. on the page.

Fields

detectedLanguages[]

object (GoogleCloudDocumentaiV1beta1DocumentPageDetectedLanguage)

A list of detected languages together with confidence.

layout

object (GoogleCloudDocumentaiV1beta1DocumentPageLayout)

Layout for VisualElement.

type

string

Type of the VisualElement.

GoogleCloudDocumentaiV1beta1DocumentProvenance

Structure to identify provenance relationships between annotations in different revisions.

Fields
`id`	`integer (int32 format)` The Id of this operation. Needs to be unique within the scope of the revision.
`parents[]`	`object (GoogleCloudDocumentaiV1beta1DocumentProvenanceParent)` References to the original elements that are replaced.
`revision`	`integer (int32 format)` The index of the revision that produced this element.
`type`	`enum` The type of provenance operation.
Enum type. Can be one of the following:
`OPERATION_TYPE_UNSPECIFIED`	Operation type unspecified. If no operation is specified a provenance entry is simply used to match against a `parent`.
`ADD`	Add an element.
`REMOVE`	Remove an element identified by `parent`.
`REPLACE`	Replace an element identified by `parent`.
`EVAL_REQUESTED`	Request human review for the element identified by `parent`.
`EVAL_APPROVED`	Element is reviewed and approved at human review, confidence will be set to 1.0.
`EVAL_SKIPPED`	Element is skipped in the validation process.

GoogleCloudDocumentaiV1beta1DocumentProvenanceParent

The parent element the current element is based on. Used for referencing/aligning, removal and replacement operations.

Fields

id

integer (int32 format)

The id of the parent provenance.

index

integer (int32 format)

The index of the parent item in the corresponding item list (eg. list of entities, properties within entities, etc.) in the parent revision.

revision

integer (int32 format)

The index of the index into current revision's parent_ids list.

GoogleCloudDocumentaiV1beta1DocumentRevision

Contains past or forward revisions of this document.

Fields
`agent`	`string` If the change was made by a person specify the name or id of that person.
`createTime`	`string (Timestamp format)` The time that the revision was created.
`humanReview`	`object (GoogleCloudDocumentaiV1beta1DocumentRevisionHumanReview)` Human Review information of this revision.
`id`	`string` Id of the revision. Unique within the context of the document.
`parent[]`	`integer (int32 format)` 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.
`parentIds[]`	`string` The revisions that this revision is based on. Must include all the ids that have anything to do with this revision - eg. there are `provenance.parent.revision` fields that index into this field.
`processor`	`string` If the annotation was made by processor identify the processor by its resource name.

GoogleCloudDocumentaiV1beta1DocumentRevisionHumanReview

Human Review information of the document.

Fields

state

string

Human review state. e.g. requested, succeeded, rejected.

stateMessage

string

A message providing more details about the current state of processing. For example, the rejection reason when the state is rejected.

GoogleCloudDocumentaiV1beta1DocumentShardInfo

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.

Fields

shardCount

string (int64 format)

Total number of shards.

shardIndex

string (int64 format)

The 0-based index of this shard.

textOffset

string (int64 format)

The index of the first character in Document.text in the overall document global text.

GoogleCloudDocumentaiV1beta1DocumentStyle

Annotation for common text style attributes. This adheres to CSS conventions as much as possible.

Fields
`backgroundColor`	`object (GoogleTypeColor)` Text background color.
`color`	`object (GoogleTypeColor)` Text color.
`fontFamily`	`string` Font family such as `Arial`, `Times New Roman`. https://www.w3schools.com/cssref/pr_font_font-family.asp
`fontSize`	`object (GoogleCloudDocumentaiV1beta1DocumentStyleFontSize)` Font size.
`fontWeight`	`string` Font weight. Possible values are normal, bold, bolder, and lighter. https://www.w3schools.com/cssref/pr_font_weight.asp
`textAnchor`	`object (GoogleCloudDocumentaiV1beta1DocumentTextAnchor)` Text anchor indexing into the Document.text.
`textDecoration`	`string` Text decoration. Follows CSS standard. https://www.w3schools.com/cssref/pr_text_text-decoration.asp
`textStyle`	`string` Text style. Possible values are normal, italic, and oblique. https://www.w3schools.com/cssref/pr_font_font-style.asp

GoogleCloudDocumentaiV1beta1DocumentStyleFontSize

Font size with unit.

Fields

size

number (float format)

Font size for the text.

unit

string

Unit for the font size. Follows CSS naming (in, px, pt, etc.).

GoogleCloudDocumentaiV1beta1DocumentTextAnchor

Text reference indexing into the Document.text.

Fields

content

string

Contains the content of the text span so that users do not have to look it up in the text_segments. It is always populated for formFields.

textSegments[]

object (GoogleCloudDocumentaiV1beta1DocumentTextAnchorTextSegment)

The text segments from the Document.text.

GoogleCloudDocumentaiV1beta1DocumentTextAnchorTextSegment

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

Fields

endIndex

string (int64 format)

TextSegment half open end UTF-8 char index in the Document.text.

startIndex

string (int64 format)

TextSegment start UTF-8 char index in the Document.text.

GoogleCloudDocumentaiV1beta1DocumentTextChange

This message is used for text changes aka. OCR corrections.

Fields

changedText

string

The text that replaces the text identified in the text_anchor.

provenance[]

object (GoogleCloudDocumentaiV1beta1DocumentProvenance)

The history of this annotation.

textAnchor

object (GoogleCloudDocumentaiV1beta1DocumentTextAnchor)

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.

GoogleCloudDocumentaiV1beta1GcsDestination

The Google Cloud Storage location where the output file will be written to.

Fields

uri

string

(No description provided)

GoogleCloudDocumentaiV1beta1GcsSource

The Google Cloud Storage location where the input file will be read from.

Fields

uri

string

(No description provided)

GoogleCloudDocumentaiV1beta1InputConfig

The desired input location and metadata.

Fields

gcsSource

object (GoogleCloudDocumentaiV1beta1GcsSource)

The Google Cloud Storage location to read the input from. This must be a single file.

mimeType

string

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.

GoogleCloudDocumentaiV1beta1NormalizedVertex

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.

Fields

x

number (float format)

X coordinate.

y

number (float format)

Y coordinate (starts from the top of the image).

GoogleCloudDocumentaiV1beta1OperationMetadata

Contains metadata for the BatchProcessDocuments operation.

Fields
`createTime`	`string (Timestamp format)` The creation time of the operation.
`state`	`enum` The state of the current batch processing.
Enum type. Can be one of the following:
`STATE_UNSPECIFIED`	The default value. This value is used if the state is omitted.
`ACCEPTED`	Request is received.
`WAITING`	Request operation is waiting for scheduling.
`RUNNING`	Request is being processed.
`SUCCEEDED`	The batch processing completed successfully.
`CANCELLED`	The batch processing was cancelled.
`FAILED`	The batch processing has failed.

`stateMessage`	`string` A message providing more details about the current state of processing.
`updateTime`	`string (Timestamp format)` The last update time of the operation.

GoogleCloudDocumentaiV1beta1OutputConfig

The desired output location and metadata.

Fields

gcsDestination

object (GoogleCloudDocumentaiV1beta1GcsDestination)

The Google Cloud Storage location to write the output to.

pagesPerShard

integer (int32 format)

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

GoogleCloudDocumentaiV1beta1ProcessDocumentResponse

Response to a single document processing request.

Fields

inputConfig

object (GoogleCloudDocumentaiV1beta1InputConfig)

Information about the input file. This is the same as the corresponding input config in the request.

outputConfig

object (GoogleCloudDocumentaiV1beta1OutputConfig)

The output location of the parsed responses. The responses are written to this location as JSON-serialized Document objects.

GoogleCloudDocumentaiV1beta1Vertex

A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.

Fields

x

integer (int32 format)

X coordinate.

y

integer (int32 format)

Y coordinate (starts from the top of the image).

GoogleCloudDocumentaiV1beta2AutoMlParams

Parameters to control AutoML model prediction behavior.

Fields

model

string

Resource name of the AutoML model. Format: projects/{project-id}/locations/{location-id}/models/{model-id}.

GoogleCloudDocumentaiV1beta2Barcode

Encodes the detailed information of a barcode.

Fields

format

string

rawValue

string

Raw value encoded in the barcode. For example: 'MEBKM:TITLE:Google;URL:https://www.google.com;;'.

valueFormat

string

GoogleCloudDocumentaiV1beta2BatchProcessDocumentsRequest

Request to batch process documents as an asynchronous operation. The output is written to Cloud Storage as JSON in the [Document] format.

Fields

requests[]

object (GoogleCloudDocumentaiV1beta2ProcessDocumentRequest)

Required. Individual requests for each document.

GoogleCloudDocumentaiV1beta2BatchProcessDocumentsResponse

Response to an batch document processing request. This is returned in the LRO Operation after the operation is complete.

Fields

responses[]

object (GoogleCloudDocumentaiV1beta2ProcessDocumentResponse)

Responses for each individual document.

GoogleCloudDocumentaiV1beta2BoundingPoly

A bounding polygon for the detected image annotation.

Fields

normalizedVertices[]

object (GoogleCloudDocumentaiV1beta2NormalizedVertex)

The bounding polygon normalized vertices.

vertices[]

object (GoogleCloudDocumentaiV1beta2Vertex)

The bounding polygon vertices.

GoogleCloudDocumentaiV1beta2Document

Fields
`content`	`string (bytes format)` Optional. 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.
`entities[]`	`object (GoogleCloudDocumentaiV1beta2DocumentEntity)` A list of entities detected on Document.text. For document shards, entities in this list may cross shard boundaries.
`entityRelations[]`	`object (GoogleCloudDocumentaiV1beta2DocumentEntityRelation)` Placeholder. Relationship among Document.entities.
`error`	`object (GoogleRpcStatus)` Any error that occurred while processing this document.
`labels[]`	`object (GoogleCloudDocumentaiV1beta2DocumentLabel)` Labels for this document.
`mimeType`	`string` 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.
`pages[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPage)` Visual page layout for the Document.
`revisions[]`	`object (GoogleCloudDocumentaiV1beta2DocumentRevision)` Placeholder. Revision history of this document.
`shardInfo`	`object (GoogleCloudDocumentaiV1beta2DocumentShardInfo)` 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.
`text`	`string` Optional. UTF-8 encoded text in reading order from the document.
`textChanges[]`	`object (GoogleCloudDocumentaiV1beta2DocumentTextChange)` Placeholder. 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.
`textStyles[]`	`object (GoogleCloudDocumentaiV1beta2DocumentStyle)` Styles for the Document.text.
`uri`	`string` Optional. 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 for more info.

GoogleCloudDocumentaiV1beta2DocumentEntity

An entity that could be a phrase in the text or a property that belongs to the document. It is a known entity type, such as a person, an organization, or location.

Fields
`confidence`	`number (float format)` Optional. Confidence of detected Schema entity. Range `[0, 1]`.
`id`	`string` Optional. Canonical id. This will be a unique value in the entity list for this document.
`mentionId`	`string` Optional. Deprecated. Use `id` field instead.
`mentionText`	`string` Optional. Text value of the entity e.g. `1600 Amphitheatre Pkwy`.
`normalizedValue`	`object (GoogleCloudDocumentaiV1beta2DocumentEntityNormalizedValue)` 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`	`object (GoogleCloudDocumentaiV1beta2DocumentPageAnchor)` Optional. Represents the provenance of this entity wrt. the location on the page where it was found.
`properties[]`	`object (GoogleCloudDocumentaiV1beta2DocumentEntity)` Optional. Entities can be nested to form a hierarchical data structure representing the content in the document.
`provenance`	`object (GoogleCloudDocumentaiV1beta2DocumentProvenance)` Optional. The history of this annotation.
`redacted`	`boolean` Optional. Whether the entity will be redacted for de-identification purposes.
`textAnchor`	`object (GoogleCloudDocumentaiV1beta2DocumentTextAnchor)` Optional. Provenance of the entity. Text anchor indexing into the Document.text.
`type`	`string` Required. Entity type from a schema e.g. `Address`.

GoogleCloudDocumentaiV1beta2DocumentEntityNormalizedValue

Parsed and normalized entity value.

Fields
`addressValue`	`object (GoogleTypePostalAddress)` Postal address. See also: https://github.com/googleapis/googleapis/blob/master/google/type/postal_address.proto
`booleanValue`	`boolean` Boolean value. Can be used for entities with binary values, or for checkboxes.
`dateValue`	`object (GoogleTypeDate)` Date value. Includes year, month, day. See also: https://github.com/googleapis/googleapis/blob/master/google/type/date.proto
`datetimeValue`	`object (GoogleTypeDateTime)` DateTime value. Includes date, time, and timezone. See also: https://github.com/googleapis/googleapis/blob/master/google/type/datetime.proto
`floatValue`	`number (float format)` Float value.
`integerValue`	`integer (int32 format)` Integer value.
`moneyValue`	`object (GoogleTypeMoney)` Money value. See also: https://github.com/googleapis/googleapis/blob/master/google/type/money.proto
`text`	`string` Optional. An optional field to store a normalized string. For some entity types, one of respective `structured_value` fields may also be populated. Also not all the types of `structured_value` will be normalized. For example, some processors may not generate `float` or `integer` normalized text by default. Below are sample formats mapped to structured values. - 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.

GoogleCloudDocumentaiV1beta2DocumentEntityRelation

Relationship between Entities.

Fields

objectId

string

Object entity id.

relation

string

Relationship description.

subjectId

string

Subject entity id.

GoogleCloudDocumentaiV1beta2DocumentLabel

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.

Fields

automlModel

string

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}

confidence

number (float format)

Confidence score between 0 and 1 for label assignment.

name

string

Name of the label. When the label is generated from AutoML Text Classification model, this field represents the name of the category.

GoogleCloudDocumentaiV1beta2DocumentPage

A page in a Document.

Fields
`blocks[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageBlock)` 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.
`detectedBarcodes[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageDetectedBarcode)` A list of detected barcodes.
`detectedLanguages[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage)` A list of detected languages together with confidence.
`dimension`	`object (GoogleCloudDocumentaiV1beta2DocumentPageDimension)` Physical dimension of the page.
`formFields[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageFormField)` A list of visually detected form fields on the page.
`image`	`object (GoogleCloudDocumentaiV1beta2DocumentPageImage)` 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.
`imageQualityScores`	`object (GoogleCloudDocumentaiV1beta2DocumentPageImageQualityScores)` Image Quality Scores.
`layout`	`object (GoogleCloudDocumentaiV1beta2DocumentPageLayout)` Layout for the page.
`lines[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageLine)` A list of visually detected text lines on the page. A collection of tokens that a human would perceive as a line.
`pageNumber`	`integer (int32 format)` 1-based index for current Page in a parent Document. Useful when a page is taken out of a Document for individual processing.
`paragraphs[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageParagraph)` A list of visually detected text paragraphs on the page. A collection of lines that a human would perceive as a paragraph.
`provenance`	`object (GoogleCloudDocumentaiV1beta2DocumentProvenance)` The history of this page.
`symbols[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageSymbol)` A list of visually detected symbols on the page.
`tables[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageTable)` A list of visually detected tables on the page.
`tokens[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageToken)` A list of visually detected tokens on the page.
`transforms[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageMatrix)` Transformation matrices that were applied to the original document image to produce Page.image.
`visualElements[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageVisualElement)` A list of detected non-text visual elements e.g. checkbox, signature etc. on the page.

GoogleCloudDocumentaiV1beta2DocumentPageAnchor

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.

Fields

pageRefs[]

object (GoogleCloudDocumentaiV1beta2DocumentPageAnchorPageRef)

One or more references to visual page elements

GoogleCloudDocumentaiV1beta2DocumentPageAnchorPageRef

Represents a weak reference to a page element within a document.

Fields
`boundingPoly`	`object (GoogleCloudDocumentaiV1beta2BoundingPoly)` Optional. Identifies the bounding polygon of a layout element on the page.
`confidence`	`number (float format)` Optional. Confidence of detected page element, if applicable. Range `[0, 1]`.
`layoutId`	`string` Optional. Deprecated. Use PageRef.bounding_poly instead.
`layoutType`	`enum` Optional. The type of the layout element that is being referenced if any.
Enum type. Can be one of the following:
`LAYOUT_TYPE_UNSPECIFIED`	Layout Unspecified.
`BLOCK`	References a Page.blocks element.
`PARAGRAPH`	References a Page.paragraphs element.
`LINE`	References a Page.lines element.
`TOKEN`	References a Page.tokens element.
`VISUAL_ELEMENT`	References a Page.visual_elements element.
`TABLE`	Refrrences a Page.tables element.
`FORM_FIELD`	References a Page.form_fields element.

`page`	`string (int64 format)` Required. Index into the Document.pages element, for example using `Document.pages` to locate the related page element. This field is skipped when its value is the default `0`. See https://developers.google.com/protocol-buffers/docs/proto3#json.

GoogleCloudDocumentaiV1beta2DocumentPageBlock

A block has a set of lines (collected into paragraphs) that have a common line-spacing and orientation.

Fields

detectedLanguages[]

object (GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage)

A list of detected languages together with confidence.

layout

object (GoogleCloudDocumentaiV1beta2DocumentPageLayout)

Layout for Block.

provenance

object (GoogleCloudDocumentaiV1beta2DocumentProvenance)

The history of this annotation.

GoogleCloudDocumentaiV1beta2DocumentPageDetectedBarcode

A detected barcode.

Fields

barcode

object (GoogleCloudDocumentaiV1beta2Barcode)

Detailed barcode information of the DetectedBarcode.

layout

object (GoogleCloudDocumentaiV1beta2DocumentPageLayout)

Layout for DetectedBarcode.

GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage

Detected language for a structural component.

Fields

confidence

number (float format)

Confidence of detected language. Range [0, 1].

languageCode

string

The BCP-47 language code, such as en-US or sr-Latn. For more information, see https://www.unicode.org/reports/tr35/#Unicode_locale_identifier.

GoogleCloudDocumentaiV1beta2DocumentPageDimension

Dimension for the page.

Fields

height

number (float format)

Page height.

unit

string

Dimension unit.

width

number (float format)

Page width.

GoogleCloudDocumentaiV1beta2DocumentPageFormField

A form field detected on the page.

Fields
`correctedKeyText`	`string` Created for Labeling UI to export key text. If corrections were made to the text identified by the `field_name.text_anchor`, this field will contain the correction.
`correctedValueText`	`string` Created for Labeling UI to export value text. If corrections were made to the text identified by the `field_value.text_anchor`, this field will contain the correction.
`fieldName`	`object (GoogleCloudDocumentaiV1beta2DocumentPageLayout)` Layout for the FormField name. e.g. `Address`, `Email`, `Grand total`, `Phone number`, etc.
`fieldValue`	`object (GoogleCloudDocumentaiV1beta2DocumentPageLayout)` Layout for the FormField value.
`nameDetectedLanguages[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage)` A list of detected languages for name together with confidence.
`provenance`	`object (GoogleCloudDocumentaiV1beta2DocumentProvenance)` The history of this annotation.
`valueDetectedLanguages[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage)` A list of detected languages for value together with confidence.
`valueType`	`string` 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`

GoogleCloudDocumentaiV1beta2DocumentPageImage

Rendered image contents for this page.

Fields
`content`	`string (bytes format)` Raw byte content of the image.
`height`	`integer (int32 format)` Height of the image in pixels.
`mimeType`	`string` Encoding mime type for the image.
`width`	`integer (int32 format)` Width of the image in pixels.

GoogleCloudDocumentaiV1beta2DocumentPageImageQualityScores

Image Quality Scores for the page image

Fields

detectedDefects[]

object (GoogleCloudDocumentaiV1beta2DocumentPageImageQualityScoresDetectedDefect)

A list of detected defects.

qualityScore

number (float format)

The overall quality score. Range [0, 1] where 1 is perfect quality.

GoogleCloudDocumentaiV1beta2DocumentPageImageQualityScoresDetectedDefect

Image Quality Defects

Fields

confidence

number (float format)

Confidence of detected defect. Range [0, 1] where 1 indicates strong confidence of that the defect exists.

type

string

GoogleCloudDocumentaiV1beta2DocumentPageLayout

Visual element describing a layout unit on a page.

Fields
`boundingPoly`	`object (GoogleCloudDocumentaiV1beta2BoundingPoly)` The bounding polygon for the Layout.
`confidence`	`number (float format)` 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`	`enum` Detected orientation for the Layout.
Enum type. Can be one of the following:
`ORIENTATION_UNSPECIFIED`	Unspecified orientation.
`PAGE_UP`	Orientation is aligned with page up.
`PAGE_RIGHT`	Orientation is aligned with page right. Turn the head 90 degrees clockwise from upright to read.
`PAGE_DOWN`	Orientation is aligned with page down. Turn the head 180 degrees from upright to read.
`PAGE_LEFT`	Orientation is aligned with page left. Turn the head 90 degrees counterclockwise from upright to read.

`textAnchor`	`object (GoogleCloudDocumentaiV1beta2DocumentTextAnchor)` Text anchor indexing into the Document.text.

GoogleCloudDocumentaiV1beta2DocumentPageLine

A collection of tokens that a human would perceive as a line. Does not cross column boundaries, can be horizontal, vertical, etc.

Fields

detectedLanguages[]

object (GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage)

A list of detected languages together with confidence.

layout

object (GoogleCloudDocumentaiV1beta2DocumentPageLayout)

Layout for Line.

provenance

object (GoogleCloudDocumentaiV1beta2DocumentProvenance)

The history of this annotation.

GoogleCloudDocumentaiV1beta2DocumentPageMatrix

Representation for transformation matrix, intended to be compatible and used with OpenCV format for image manipulation.

Fields
`cols`	`integer (int32 format)` Number of columns in the matrix.
`data`	`string (bytes format)` The matrix data.
`rows`	`integer (int32 format)` Number of rows in the matrix.
`type`	`integer (int32 format)` 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/groupcorehal__interface.html

GoogleCloudDocumentaiV1beta2DocumentPageParagraph

A collection of lines that a human would perceive as a paragraph.

Fields

detectedLanguages[]

object (GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage)

A list of detected languages together with confidence.

layout

object (GoogleCloudDocumentaiV1beta2DocumentPageLayout)

Layout for Paragraph.

provenance

object (GoogleCloudDocumentaiV1beta2DocumentProvenance)

The history of this annotation.

GoogleCloudDocumentaiV1beta2DocumentPageSymbol

A detected symbol.

Fields

detectedLanguages[]

object (GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage)

A list of detected languages together with confidence.

layout

object (GoogleCloudDocumentaiV1beta2DocumentPageLayout)

Layout for Symbol.

GoogleCloudDocumentaiV1beta2DocumentPageTable

A table representation similar to HTML table structure.

Fields
`bodyRows[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageTableTableRow)` Body rows of the table.
`detectedLanguages[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage)` A list of detected languages together with confidence.
`headerRows[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageTableTableRow)` Header rows of the table.
`layout`	`object (GoogleCloudDocumentaiV1beta2DocumentPageLayout)` Layout for Table.
`provenance`	`object (GoogleCloudDocumentaiV1beta2DocumentProvenance)` The history of this table.

GoogleCloudDocumentaiV1beta2DocumentPageTableTableCell

A cell representation inside the table.

Fields
`colSpan`	`integer (int32 format)` How many columns this cell spans.
`detectedLanguages[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage)` A list of detected languages together with confidence.
`layout`	`object (GoogleCloudDocumentaiV1beta2DocumentPageLayout)` Layout for TableCell.
`rowSpan`	`integer (int32 format)` How many rows this cell spans.

GoogleCloudDocumentaiV1beta2DocumentPageTableTableRow

A row of table cells.

Fields

cells[]

object (GoogleCloudDocumentaiV1beta2DocumentPageTableTableCell)

Cells that make up this row.

GoogleCloudDocumentaiV1beta2DocumentPageToken

A detected token.

Fields
`detectedBreak`	`object (GoogleCloudDocumentaiV1beta2DocumentPageTokenDetectedBreak)` Detected break at the end of a Token.
`detectedLanguages[]`	`object (GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage)` A list of detected languages together with confidence.
`layout`	`object (GoogleCloudDocumentaiV1beta2DocumentPageLayout)` Layout for Token.
`provenance`	`object (GoogleCloudDocumentaiV1beta2DocumentProvenance)` The history of this annotation.

GoogleCloudDocumentaiV1beta2DocumentPageTokenDetectedBreak

Detected break at the end of a Token.

Fields
`type`	`enum` Detected break type.
Enum type. Can be one of the following:
`TYPE_UNSPECIFIED`	Unspecified break type.
`SPACE`	A single whitespace.
`WIDE_SPACE`	A wider whitespace.
`HYPHEN`	A hyphen that indicates that a token has been split across lines.

GoogleCloudDocumentaiV1beta2DocumentPageVisualElement

Detected non-text visual elements e.g. checkbox, signature etc. on the page.

Fields

detectedLanguages[]

object (GoogleCloudDocumentaiV1beta2DocumentPageDetectedLanguage)

A list of detected languages together with confidence.

layout

object (GoogleCloudDocumentaiV1beta2DocumentPageLayout)

Layout for VisualElement.

type

string

Type of the VisualElement.

GoogleCloudDocumentaiV1beta2DocumentProvenance

Structure to identify provenance relationships between annotations in different revisions.

Fields
`id`	`integer (int32 format)` The Id of this operation. Needs to be unique within the scope of the revision.
`parents[]`	`object (GoogleCloudDocumentaiV1beta2DocumentProvenanceParent)` References to the original elements that are replaced.
`revision`	`integer (int32 format)` The index of the revision that produced this element.
`type`	`enum` The type of provenance operation.
Enum type. Can be one of the following:
`OPERATION_TYPE_UNSPECIFIED`	Operation type unspecified. If no operation is specified a provenance entry is simply used to match against a `parent`.
`ADD`	Add an element.
`REMOVE`	Remove an element identified by `parent`.
`REPLACE`	Replace an element identified by `parent`.
`EVAL_REQUESTED`	Request human review for the element identified by `parent`.
`EVAL_APPROVED`	Element is reviewed and approved at human review, confidence will be set to 1.0.
`EVAL_SKIPPED`	Element is skipped in the validation process.

GoogleCloudDocumentaiV1beta2DocumentProvenanceParent

The parent element the current element is based on. Used for referencing/aligning, removal and replacement operations.

Fields

id

integer (int32 format)

The id of the parent provenance.

index

integer (int32 format)

The index of the parent item in the corresponding item list (eg. list of entities, properties within entities, etc.) in the parent revision.

revision

integer (int32 format)

The index of the index into current revision's parent_ids list.

GoogleCloudDocumentaiV1beta2DocumentRevision

Contains past or forward revisions of this document.

Fields
`agent`	`string` If the change was made by a person specify the name or id of that person.
`createTime`	`string (Timestamp format)` The time that the revision was created.
`humanReview`	`object (GoogleCloudDocumentaiV1beta2DocumentRevisionHumanReview)` Human Review information of this revision.
`id`	`string` Id of the revision. Unique within the context of the document.
`parent[]`	`integer (int32 format)` 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.
`parentIds[]`	`string` The revisions that this revision is based on. Must include all the ids that have anything to do with this revision - eg. there are `provenance.parent.revision` fields that index into this field.
`processor`	`string` If the annotation was made by processor identify the processor by its resource name.

GoogleCloudDocumentaiV1beta2DocumentRevisionHumanReview

Human Review information of the document.

Fields

state

string

Human review state. e.g. requested, succeeded, rejected.

stateMessage

string

A message providing more details about the current state of processing. For example, the rejection reason when the state is rejected.

GoogleCloudDocumentaiV1beta2DocumentShardInfo

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.

Fields

shardCount

string (int64 format)

Total number of shards.

shardIndex

string (int64 format)

The 0-based index of this shard.

textOffset

string (int64 format)

The index of the first character in Document.text in the overall document global text.

GoogleCloudDocumentaiV1beta2DocumentStyle

Annotation for common text style attributes. This adheres to CSS conventions as much as possible.

Fields
`backgroundColor`	`object (GoogleTypeColor)` Text background color.
`color`	`object (GoogleTypeColor)` Text color.
`fontFamily`	`string` Font family such as `Arial`, `Times New Roman`. https://www.w3schools.com/cssref/pr_font_font-family.asp
`fontSize`	`object (GoogleCloudDocumentaiV1beta2DocumentStyleFontSize)` Font size.
`fontWeight`	`string` Font weight. Possible values are normal, bold, bolder, and lighter. https://www.w3schools.com/cssref/pr_font_weight.asp
`textAnchor`	`object (GoogleCloudDocumentaiV1beta2DocumentTextAnchor)` Text anchor indexing into the Document.text.
`textDecoration`	`string` Text decoration. Follows CSS standard. https://www.w3schools.com/cssref/pr_text_text-decoration.asp
`textStyle`	`string` Text style. Possible values are normal, italic, and oblique. https://www.w3schools.com/cssref/pr_font_font-style.asp

GoogleCloudDocumentaiV1beta2DocumentStyleFontSize

Font size with unit.

Fields

size

number (float format)

Font size for the text.

unit

string

Unit for the font size. Follows CSS naming (in, px, pt, etc.).

GoogleCloudDocumentaiV1beta2DocumentTextAnchor

Text reference indexing into the Document.text.

Fields

content

string

Contains the content of the text span so that users do not have to look it up in the text_segments. It is always populated for formFields.

textSegments[]

object (GoogleCloudDocumentaiV1beta2DocumentTextAnchorTextSegment)

The text segments from the Document.text.

GoogleCloudDocumentaiV1beta2DocumentTextAnchorTextSegment

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

Fields

endIndex

string (int64 format)

TextSegment half open end UTF-8 char index in the Document.text.

startIndex

string (int64 format)

TextSegment start UTF-8 char index in the Document.text.

GoogleCloudDocumentaiV1beta2DocumentTextChange

This message is used for text changes aka. OCR corrections.

Fields

changedText

string

The text that replaces the text identified in the text_anchor.

provenance[]

object (GoogleCloudDocumentaiV1beta2DocumentProvenance)

The history of this annotation.

textAnchor

object (GoogleCloudDocumentaiV1beta2DocumentTextAnchor)

GoogleCloudDocumentaiV1beta2EntityExtractionParams

Parameters to control entity extraction behavior.

Fields

enabled

boolean

Whether to enable entity extraction.

modelVersion

string

Model version of the entity extraction. Default is "builtin/stable". Specify "builtin/latest" for the latest model.

GoogleCloudDocumentaiV1beta2FormExtractionParams

Parameters to control form extraction behavior.

Fields

enabled

boolean

Whether to enable form extraction.

keyValuePairHints[]

object (GoogleCloudDocumentaiV1beta2KeyValuePairHint)

Reserved for future use.

modelVersion

string

Model version of the form extraction system. Default is "builtin/stable". Specify "builtin/latest" for the latest model. For custom form models, specify: "custom/{model_name}". Model name format is "bucket_name/path/to/modeldir" corresponding to "gs://bucket_name/path/to/modeldir" where annotated examples are stored.

GoogleCloudDocumentaiV1beta2GcsDestination

The Google Cloud Storage location where the output file will be written to.

Fields

uri

string

(No description provided)

GoogleCloudDocumentaiV1beta2GcsSource

The Google Cloud Storage location where the input file will be read from.

Fields

uri

string

(No description provided)

GoogleCloudDocumentaiV1beta2InputConfig

The desired input location and metadata.

Fields

contents

string (bytes format)

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.

gcsSource

object (GoogleCloudDocumentaiV1beta2GcsSource)

The Google Cloud Storage location to read the input from. This must be a single file.

mimeType

string

GoogleCloudDocumentaiV1beta2KeyValuePairHint

Reserved for future use.

Fields

key

string

The key text for the hint.

valueTypes[]

string

Type of the value. This is case-insensitive, and could be one of: ADDRESS, LOCATION, ORGANIZATION, PERSON, PHONE_NUMBER, ID, NUMBER, EMAIL, PRICE, TERMS, DATE, NAME. Types not in this list will be ignored.

GoogleCloudDocumentaiV1beta2NormalizedVertex

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.

Fields

x

number (float format)

X coordinate.

y

number (float format)

Y coordinate (starts from the top of the image).

GoogleCloudDocumentaiV1beta2OcrParams

Parameters to control Optical Character Recognition (OCR) behavior.

Fields

languageHints[]

string

List of languages to use for OCR. In most cases, an empty value yields the best results since it enables automatic language detection. For languages based on the Latin alphabet, setting language_hints is not needed. In rare cases, when the language of the text in the image is known, setting a hint will help get better results (although it will be a significant hindrance if the hint is wrong). Document processing returns an error if one or more of the specified languages is not one of the supported languages.

GoogleCloudDocumentaiV1beta2OperationMetadata

Contains metadata for the BatchProcessDocuments operation.

Fields
`createTime`	`string (Timestamp format)` The creation time of the operation.
`state`	`enum` The state of the current batch processing.
Enum type. Can be one of the following:
`STATE_UNSPECIFIED`	The default value. This value is used if the state is omitted.
`ACCEPTED`	Request is received.
`WAITING`	Request operation is waiting for scheduling.
`RUNNING`	Request is being processed.
`SUCCEEDED`	The batch processing completed successfully.
`CANCELLED`	The batch processing was cancelled.
`FAILED`	The batch processing has failed.

`stateMessage`	`string` A message providing more details about the current state of processing.
`updateTime`	`string (Timestamp format)` The last update time of the operation.

GoogleCloudDocumentaiV1beta2OutputConfig

The desired output location and metadata.

Fields

gcsDestination

object (GoogleCloudDocumentaiV1beta2GcsDestination)

The Google Cloud Storage location to write the output to.

pagesPerShard

integer (int32 format)

GoogleCloudDocumentaiV1beta2ProcessDocumentRequest

Request to process one document.

Fields
`automlParams`	`object (GoogleCloudDocumentaiV1beta2AutoMlParams)` Controls AutoML model prediction behavior. AutoMlParams cannot be used together with other Params.
`documentType`	`string` Specifies a known document type for deeper structure detection. Valid values are currently "general" and "invoice". If not provided, "general"\ is used as default. If any other value is given, the request is rejected.
`entityExtractionParams`	`object (GoogleCloudDocumentaiV1beta2EntityExtractionParams)` Controls entity extraction behavior. If not specified, the system will decide reasonable defaults.
`formExtractionParams`	`object (GoogleCloudDocumentaiV1beta2FormExtractionParams)` Controls form extraction behavior. If not specified, the system will decide reasonable defaults.
`inputConfig`	`object (GoogleCloudDocumentaiV1beta2InputConfig)` Required. Information about the input file.
`ocrParams`	`object (GoogleCloudDocumentaiV1beta2OcrParams)` Controls OCR behavior. If not specified, the system will decide reasonable defaults.
`outputConfig`	`object (GoogleCloudDocumentaiV1beta2OutputConfig)` The desired output location. This field is only needed in BatchProcessDocumentsRequest.
`parent`	`string` Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no location is specified, a region will be chosen automatically. This field is only populated when used in ProcessDocument method.
`tableExtractionParams`	`object (GoogleCloudDocumentaiV1beta2TableExtractionParams)` Controls table extraction behavior. If not specified, the system will decide reasonable defaults.

GoogleCloudDocumentaiV1beta2ProcessDocumentResponse

Response to a single document processing request.

Fields

inputConfig

object (GoogleCloudDocumentaiV1beta2InputConfig)

Information about the input file. This is the same as the corresponding input config in the request.

outputConfig

object (GoogleCloudDocumentaiV1beta2OutputConfig)

The output location of the parsed responses. The responses are written to this location as JSON-serialized Document objects.

GoogleCloudDocumentaiV1beta2TableBoundHint

A hint for a table bounding box on the page for table parsing.

Fields

boundingBox

object (GoogleCloudDocumentaiV1beta2BoundingPoly)

Bounding box hint for a table on this page. The coordinates must be normalized to [0,1] and the bounding box must be an axis-aligned rectangle.

pageNumber

integer (int32 format)

Optional. Page number for multi-paged inputs this hint applies to. If not provided, this hint will apply to all pages by default. This value is 1-based.

GoogleCloudDocumentaiV1beta2TableExtractionParams

Parameters to control table extraction behavior.

Fields
`enabled`	`boolean` Whether to enable table extraction.
`headerHints[]`	`string` Optional. Reserved for future use.
`modelVersion`	`string` Model version of the table extraction system. Default is "builtin/stable". Specify "builtin/latest" for the latest model.
`tableBoundHints[]`	`object (GoogleCloudDocumentaiV1beta2TableBoundHint)` Optional. Table bounding box hints that can be provided to complex cases which our algorithm cannot locate the table(s) in.

GoogleCloudDocumentaiV1beta2Vertex

A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.

Fields

x

integer (int32 format)

X coordinate.

y

integer (int32 format)

Y coordinate (starts from the top of the image).

GoogleCloudDocumentaiV1beta3BatchProcessMetadata

The long running operation metadata for batch process method.

Fields
`createTime`	`string (Timestamp format)` The creation time of the operation.
`individualProcessStatuses[]`	`object (GoogleCloudDocumentaiV1beta3BatchProcessMetadataIndividualProcessStatus)` The list of response details of each document.
`state`	`enum` The state of the current batch processing.
Enum type. Can be one of the following:
`STATE_UNSPECIFIED`	The default value. This value is used if the state is omitted.
`WAITING`	Request operation is waiting for scheduling.
`RUNNING`	Request is being processed.
`SUCCEEDED`	The batch processing completed successfully.
`CANCELLING`	The batch processing was being cancelled.
`CANCELLED`	The batch processing was cancelled.
`FAILED`	The batch processing has failed.

`stateMessage`	`string` A message providing more details about the current state of processing. For example, the error message if the operation is failed.
`updateTime`	`string (Timestamp format)` The last update time of the operation.

GoogleCloudDocumentaiV1beta3BatchProcessMetadataIndividualProcessStatus

The status of a each individual document in the batch process.

Fields
`humanReviewOperation`	`string` 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.
`humanReviewStatus`	`object (GoogleCloudDocumentaiV1beta3HumanReviewStatus)` The status of human review on the processed document.
`inputGcsSource`	`string` 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.
`outputGcsDestination`	`string` The output_gcs_destination (in the request as `output_gcs_destination`) of the processed document if it was successful, otherwise empty.
`status`	`object (GoogleRpcStatus)` The status processing the document.

GoogleCloudDocumentaiV1beta3CommonOperationMetadata

The common metadata for long running operations.

Fields
`createTime`	`string (Timestamp format)` The creation time of the operation.
`resource`	`string` A related resource to this operation.
`state`	`enum` The state of the operation.
Enum type. Can be one of the following:
`STATE_UNSPECIFIED`	Unspecified state.
`RUNNING`	Operation is still running.
`CANCELLING`	Operation is being cancelled.
`SUCCEEDED`	Operation succeeded.
`FAILED`	Operation failed.
`CANCELLED`	Operation is cancelled.

`stateMessage`	`string` A message providing more details about the current state of processing.
`updateTime`	`string (Timestamp format)` The last update time of the operation.

GoogleCloudDocumentaiV1beta3DeleteProcessorMetadata

The long running operation metadata for delete processor method.

Fields

commonMetadata

object (GoogleCloudDocumentaiV1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1beta3DeleteProcessorVersionMetadata

The long running operation metadata for delete processor version method.

Fields

commonMetadata

object (GoogleCloudDocumentaiV1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1beta3DeployProcessorVersionMetadata

The long running operation metadata for deploy processor version method.

Fields

commonMetadata

object (GoogleCloudDocumentaiV1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1beta3DisableProcessorMetadata

The long running operation metadata for disable processor method.

Fields

commonMetadata

object (GoogleCloudDocumentaiV1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1beta3EnableProcessorMetadata

The long running operation metadata for enable processor method.

Fields

commonMetadata

object (GoogleCloudDocumentaiV1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1beta3EvaluateProcessorVersionMetadata

Metadata of the EvaluateProcessorVersion method.

Fields

commonMetadata

object (GoogleCloudDocumentaiV1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1beta3EvaluateProcessorVersionResponse

Metadata of the EvaluateProcessorVersion method.

Fields

evaluation

string

The resource name of the created evaluation.

GoogleCloudDocumentaiV1beta3HumanReviewStatus

The status of human review on a processed document.

Fields
`humanReviewOperation`	`string` The name of the operation triggered by the processed document. This field is populated only when the [state] is [HUMAN_REVIEW_IN_PROGRESS]. It has the same response type and metadata as the long running operation returned by [ReviewDocument] method.
`state`	`enum` The state of human review on the processing request.
Enum type. Can be one of the following:
`STATE_UNSPECIFIED`	Human review state is unspecified. Most likely due to an internal error.
`SKIPPED`	Human review is skipped for the document. This can happen because human review is not enabled on the processor or the processing request has been set to skip this document.
`VALIDATION_PASSED`	Human review validation is triggered and passed, so no review is needed.
`IN_PROGRESS`	Human review validation is triggered and the document is under review.
`ERROR`	Some error happened during triggering human review, see the [state_message] for details.

`stateMessage`	`string` A message providing more details about the human review state.

GoogleCloudDocumentaiV1beta3ReviewDocumentOperationMetadata

The long running operation metadata for review document method.

Fields
`commonMetadata`	`object (GoogleCloudDocumentaiV1beta3CommonOperationMetadata)` The basic metadata of the long running operation.
`createTime`	`string (Timestamp format)` The creation time of the operation.
`questionId`	`string` The Crowd Compute question ID.
`state`	`enum` Used only when Operation.done is false.
Enum type. Can be one of the following:
`STATE_UNSPECIFIED`	Unspecified state.
`RUNNING`	Operation is still running.
`CANCELLING`	Operation is being cancelled.
`SUCCEEDED`	Operation succeeded.
`FAILED`	Operation failed.
`CANCELLED`	Operation is cancelled.

`stateMessage`	`string` A message providing more details about the current state of processing. For example, the error message if the operation is failed.
`updateTime`	`string (Timestamp format)` The last update time of the operation.

GoogleCloudDocumentaiV1beta3ReviewDocumentResponse

Response message for review document method.

Fields
`gcsDestination`	`string` The Cloud Storage uri for the human reviewed document if the review is succeeded.
`rejectionReason`	`string` The reason why the review is rejected by reviewer.
`state`	`enum` The state of the review operation.
Enum type. Can be one of the following:
`STATE_UNSPECIFIED`	The default value. This value is used if the state is omitted.
`REJECTED`	The review operation is rejected by the reviewer.
`SUCCEEDED`	The review operation is succeeded.

GoogleCloudDocumentaiV1beta3SetDefaultProcessorVersionMetadata

The long running operation metadata for set default processor version method.

Fields

commonMetadata

object (GoogleCloudDocumentaiV1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleCloudDocumentaiV1beta3TrainProcessorVersionMetadata

The metadata that represents a processor version being created.

Fields

commonMetadata

object (GoogleCloudDocumentaiV1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

testDatasetValidation

object (GoogleCloudDocumentaiV1beta3TrainProcessorVersionMetadataDatasetValidation)

The test dataset validation information.

trainingDatasetValidation

object (GoogleCloudDocumentaiV1beta3TrainProcessorVersionMetadataDatasetValidation)

The training dataset validation information.

GoogleCloudDocumentaiV1beta3TrainProcessorVersionMetadataDatasetValidation

The dataset validation information. This includes any and all errors with documents and the dataset.

Fields
`datasetErrorCount`	`integer (int32 format)` The total number of dataset errors.
`datasetErrors[]`	`object (GoogleRpcStatus)` Error information for the dataset as a whole. A maximum of 10 dataset errors will be returned. A single dataset error is terminal for training.
`documentErrorCount`	`integer (int32 format)` The total number of document errors.
`documentErrors[]`	`object (GoogleRpcStatus)` Error information pertaining to specific documents. A maximum of 10 document errors will be returned. Any document with errors will not be used throughout training.

GoogleCloudDocumentaiV1beta3TrainProcessorVersionResponse

The response for the TrainProcessorVersion method.

Fields

processorVersion

string

The resource name of the processor version produced by training.

GoogleCloudDocumentaiV1beta3UndeployProcessorVersionMetadata

The long running operation metadata for the undeploy processor version method.

Fields

commonMetadata

object (GoogleCloudDocumentaiV1beta3CommonOperationMetadata)

The basic metadata of the long running operation.

GoogleLongrunningOperation

This resource represents a long-running operation that is the result of a network API call.

Fields
`done`	`boolean` 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.
`error`	`object (GoogleRpcStatus)` The error result of the operation in case of failure or cancellation.
`metadata`	`map (key: string, value: any)` 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.
`name`	`string` 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}`.
`response`	`map (key: string, value: any)` 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`.

GoogleRpcStatus

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. 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.

Fields

code

integer (int32 format)

The status code, which should be an enum value of google.rpc.Code.

details[]

object

A list of messages that carry the error details. There is a common set of message types for APIs to use.

message

string

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.

GoogleTypeColor

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. This reference page doesn't 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. When color equality needs to be decided, implementations, unless documented otherwise, treat two colors as 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 <= 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 << 16) | (green << 8) | blue); var hexString = rgbNumber.toString(16); var missingZeros = 6 - hexString.length; var resultBuilder = ['#']; for (var i = 0; i < missingZeros; i++) { resultBuilder.push('0'); } resultBuilder.push(hexString); return resultBuilder.join(''); }; // ...

Fields
`alpha`	`number (float format)` 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 rendered as a solid color (as if the alpha value had been explicitly given a value of 1.0).
`blue`	`number (float format)` The amount of blue in the color as a value in the interval [0, 1].
`green`	`number (float format)` The amount of green in the color as a value in the interval [0, 1].
`red`	`number (float format)` The amount of red in the color as a value in the interval [0, 1].

GoogleTypeDate

Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp

Fields

day

integer (int32 format)

Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.

month

integer (int32 format)

Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.

year

integer (int32 format)

Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.

GoogleTypeDateTime

Represents civil time (or occasionally physical time). This type can represent a 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, month, or day are 0, the DateTime is considered not to have a specific year, month, or day respectively. This type may also be used to represent a physical time if all the date and time fields are set and either case of the time_offset oneof is set. Consider using Timestamp message for physical time instead. If your use case also would like to store the user's timezone, that can be done in another field. This type is more flexible than some applications may want. Make sure to document and validate your application's limitations.

Fields
`day`	`integer (int32 format)` Optional. Day of month. Must be from 1 to 31 and valid for the year and month, or 0 if specifying a datetime without a day.
`hours`	`integer (int32 format)` Optional. Hours of day in 24 hour format. Should be from 0 to 23, defaults to 0 (midnight). An API may choose to allow the value "24:00:00" for scenarios like business closing time.
`minutes`	`integer (int32 format)` Optional. Minutes of hour of day. Must be from 0 to 59, defaults to 0.
`month`	`integer (int32 format)` Optional. Month of year. Must be from 1 to 12, or 0 if specifying a datetime without a month.
`nanos`	`integer (int32 format)` Optional. Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999, defaults to 0.
`seconds`	`integer (int32 format)` Optional. Seconds of minutes of the time. Must normally be from 0 to 59, defaults to 0. An API may allow the value 60 if it allows leap-seconds.
`timeZone`	`object (GoogleTypeTimeZone)` Time zone.
`utcOffset`	`string (Duration format)` 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 }.
`year`	`integer (int32 format)` Optional. Year of date. Must be from 1 to 9999, or 0 if specifying a datetime without a year.

GoogleTypeMoney

Represents an amount of money with its currency type.

Fields

currencyCode

string

The three-letter currency code defined in ISO 4217.

nanos

integer (int32 format)

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.

units

string (int64 format)

The whole units of the amount. For example if currencyCode is "USD", then 1 unit is one US dollar.

GoogleTypePostalAddress

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 internationalization-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

Fields
`addressLines[]`	`string` 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).
`administrativeArea`	`string` 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.
`languageCode`	`string` 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".
`locality`	`string` 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.
`organization`	`string` Optional. The name of the organization at the address.
`postalCode`	`string` 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.).
`recipients[]`	`string` Optional. The recipient at the address. This field may, under certain circumstances, contain multiline information. For example, it might contain "care of" information.
`regionCode`	`string` 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 https://cldr.unicode.org/ and https://www.unicode.org/cldr/charts/30/supplemental/territory_information.html for details. Example: "CH" for Switzerland.
`revision`	`integer (int32 format)` 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.
`sortingCode`	`string` 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).
`sublocality`	`string` Optional. Sublocality of the address. For example, this can be neighborhoods, boroughs, districts.

GoogleTypeTimeZone

Represents a time zone from the IANA Time Zone Database.

Fields

id

string

IANA Time Zone Database time zone, e.g. "America/New_York".

version

string

Optional. IANA Time Zone Database version number, e.g. "2019a".