Service to parse structured information from unstructured or semi-structured documents using state-of-the-art Google AI such as natural language, computer vision, and translation. v1beta2
Package
@google-cloud/documentaiConstructors
(constructor)(opts)
constructor(opts?: ClientOptions);
Construct an instance of DocumentUnderstandingServiceClient.
Name | Description |
opts |
ClientOptions
|
Properties
apiEndpoint
static get apiEndpoint(): string;
The DNS address for this API service - same as servicePath(), exists for compatibility reasons.
auth
auth: gax.GoogleAuth;
descriptors
descriptors: Descriptors;
documentUnderstandingServiceStub
documentUnderstandingServiceStub?: Promise<{
[name: string]: Function;
}>;
innerApiCalls
innerApiCalls: {
[name: string]: Function;
};
operationsClient
operationsClient: gax.OperationsClient;
port
static get port(): number;
The port for this API service.
scopes
static get scopes(): string[];
The scopes needed to make gRPC calls for every method defined in this service.
servicePath
static get servicePath(): string;
The DNS address for this API service.
warn
warn: (code: string, message: string, warnType?: string) => void;
Methods
batchProcessDocuments(request, options)
batchProcessDocuments(request?: protos.google.cloud.documentai.v1beta2.IBatchProcessDocumentsRequest, options?: CallOptions): Promise<[LROperation<protos.google.cloud.documentai.v1beta2.IBatchProcessDocumentsResponse, protos.google.cloud.documentai.v1beta2.IOperationMetadata>, protos.google.longrunning.IOperation | undefined, {} | undefined]>;
LRO endpoint to batch process many documents. The output is written to Cloud Storage as JSON in the [Document] format.
Name | Description |
request |
protos.google.cloud.documentai.v1beta2.IBatchProcessDocumentsRequest
The request object that will be sent. |
options |
CallOptions
Call options. See CallOptions for more details. |
Type | Description |
Promise<[LROperation<protos.google.cloud.documentai.v1beta2.IBatchProcessDocumentsResponse, protos.google.cloud.documentai.v1beta2.IOperationMetadata>, protos.google.longrunning.IOperation | undefined, {} | undefined]> | {Promise} - The promise which resolves to an array. The first element of the array is an object representing a long running operation. Its |
/**
* TODO(developer): Uncomment these variables before running the sample.
*/
/**
* Required. Individual requests for each document.
*/
// const requests = 1234
/**
* 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.
*/
// const parent = 'abc123'
// Imports the Documentai library
const {DocumentUnderstandingServiceClient} = require('@google-cloud/documentai').v1beta2;
// Instantiates a client
const documentaiClient = new DocumentUnderstandingServiceClient();
async function callBatchProcessDocuments() {
// Construct request
const request = {
requests,
};
// Run request
const [operation] = await documentaiClient.batchProcessDocuments(request);
const [response] = await operation.promise();
console.log(response);
}
callBatchProcessDocuments();
batchProcessDocuments(request, options, callback)
batchProcessDocuments(request: protos.google.cloud.documentai.v1beta2.IBatchProcessDocumentsRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.documentai.v1beta2.IBatchProcessDocumentsResponse, protos.google.cloud.documentai.v1beta2.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Name | Description |
request |
protos.google.cloud.documentai.v1beta2.IBatchProcessDocumentsRequest
|
options |
CallOptions
|
callback |
Callback<LROperation<protos.google.cloud.documentai.v1beta2.IBatchProcessDocumentsResponse, protos.google.cloud.documentai.v1beta2.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
|
Type | Description |
void |
batchProcessDocuments(request, callback)
batchProcessDocuments(request: protos.google.cloud.documentai.v1beta2.IBatchProcessDocumentsRequest, callback: Callback<LROperation<protos.google.cloud.documentai.v1beta2.IBatchProcessDocumentsResponse, protos.google.cloud.documentai.v1beta2.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Name | Description |
request |
protos.google.cloud.documentai.v1beta2.IBatchProcessDocumentsRequest
|
callback |
Callback<LROperation<protos.google.cloud.documentai.v1beta2.IBatchProcessDocumentsResponse, protos.google.cloud.documentai.v1beta2.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
|
Type | Description |
void |
checkBatchProcessDocumentsProgress(name)
checkBatchProcessDocumentsProgress(name: string): Promise<LROperation<protos.google.cloud.documentai.v1beta2.BatchProcessDocumentsResponse, protos.google.cloud.documentai.v1beta2.OperationMetadata>>;
Check the status of the long running operation returned by batchProcessDocuments()
.
Name | Description |
name |
string
The operation name that will be passed. |
Type | Description |
Promise<LROperation<protos.google.cloud.documentai.v1beta2.BatchProcessDocumentsResponse, protos.google.cloud.documentai.v1beta2.OperationMetadata>> | {Promise} - The promise which resolves to an object. The decoded operation object has result and metadata field to get information from. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations) for more details and examples. |
/**
* TODO(developer): Uncomment these variables before running the sample.
*/
/**
* Required. Individual requests for each document.
*/
// const requests = 1234
/**
* 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.
*/
// const parent = 'abc123'
// Imports the Documentai library
const {DocumentUnderstandingServiceClient} = require('@google-cloud/documentai').v1beta2;
// Instantiates a client
const documentaiClient = new DocumentUnderstandingServiceClient();
async function callBatchProcessDocuments() {
// Construct request
const request = {
requests,
};
// Run request
const [operation] = await documentaiClient.batchProcessDocuments(request);
const [response] = await operation.promise();
console.log(response);
}
callBatchProcessDocuments();
close()
close(): Promise<void>;
Terminate the gRPC channel and close the client.
The client will no longer be usable and all future behavior is undefined.
Type | Description |
Promise<void> | {Promise} A promise that resolves when the client is closed. |
getProjectId()
getProjectId(): Promise<string>;
Type | Description |
Promise<string> |
getProjectId(callback)
getProjectId(callback: Callback<string, undefined, undefined>): void;
Name | Description |
callback |
Callback<string, undefined, undefined>
|
Type | Description |
void |
initialize()
initialize(): Promise<{
[name: string]: Function;
}>;
Initialize the client. Performs asynchronous operations (such as authentication) and prepares the client. This function will be called automatically when any class method is called for the first time, but if you need to initialize it before calling an actual method, feel free to call initialize() directly.
You can await on this method if you want to make sure the client is initialized.
Type | Description |
Promise<{ [name: string]: Function; }> | {Promise} A promise that resolves to an authenticated service stub. |
processDocument(request, options)
processDocument(request?: protos.google.cloud.documentai.v1beta2.IProcessDocumentRequest, options?: CallOptions): Promise<[protos.google.cloud.documentai.v1beta2.IDocument, (protos.google.cloud.documentai.v1beta2.IProcessDocumentRequest | undefined), {} | undefined]>;
Processes a single document.
Name | Description |
request |
protos.google.cloud.documentai.v1beta2.IProcessDocumentRequest
The request object that will be sent. |
options |
CallOptions
Call options. See CallOptions for more details. |
Type | Description |
Promise<[protos.google.cloud.documentai.v1beta2.IDocument, (protos.google.cloud.documentai.v1beta2.IProcessDocumentRequest | undefined), {} | undefined]> | {Promise} - The promise which resolves to an array. The first element of the array is an object representing [Document]. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods) for more details and examples. |
/**
* TODO(developer): Uncomment these variables before running the sample.
*/
/**
* 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.
*/
// const parent = 'abc123'
/**
* Required. Information about the input file.
*/
// const inputConfig = {}
/**
* Optional. The desired output location. This field is only needed in
* BatchProcessDocumentsRequest.
*/
// const outputConfig = {}
/**
* 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.
*/
// const documentType = 'abc123'
/**
* Controls table extraction behavior. If not specified, the system will
* decide reasonable defaults.
*/
// const tableExtractionParams = {}
/**
* Controls form extraction behavior. If not specified, the system will
* decide reasonable defaults.
*/
// const formExtractionParams = {}
/**
* Controls entity extraction behavior. If not specified, the system will
* decide reasonable defaults.
*/
// const entityExtractionParams = {}
/**
* Controls OCR behavior. If not specified, the system will decide reasonable
* defaults.
*/
// const ocrParams = {}
/**
* Controls AutoML model prediction behavior. AutoMlParams cannot be used
* together with other Params.
*/
// const automlParams = {}
// Imports the Documentai library
const {DocumentUnderstandingServiceClient} = require('@google-cloud/documentai').v1beta2;
// Instantiates a client
const documentaiClient = new DocumentUnderstandingServiceClient();
async function callProcessDocument() {
// Construct request
const request = {
inputConfig,
};
// Run request
const response = await documentaiClient.processDocument(request);
console.log(response);
}
callProcessDocument();
processDocument(request, options, callback)
processDocument(request: protos.google.cloud.documentai.v1beta2.IProcessDocumentRequest, options: CallOptions, callback: Callback<protos.google.cloud.documentai.v1beta2.IDocument, protos.google.cloud.documentai.v1beta2.IProcessDocumentRequest | null | undefined, {} | null | undefined>): void;
Name | Description |
request |
protos.google.cloud.documentai.v1beta2.IProcessDocumentRequest
|
options |
CallOptions
|
callback |
Callback<protos.google.cloud.documentai.v1beta2.IDocument, protos.google.cloud.documentai.v1beta2.IProcessDocumentRequest | null | undefined, {} | null | undefined>
|
Type | Description |
void |
processDocument(request, callback)
processDocument(request: protos.google.cloud.documentai.v1beta2.IProcessDocumentRequest, callback: Callback<protos.google.cloud.documentai.v1beta2.IDocument, protos.google.cloud.documentai.v1beta2.IProcessDocumentRequest | null | undefined, {} | null | undefined>): void;
Name | Description |
request |
protos.google.cloud.documentai.v1beta2.IProcessDocumentRequest
|
callback |
Callback<protos.google.cloud.documentai.v1beta2.IDocument, protos.google.cloud.documentai.v1beta2.IProcessDocumentRequest | null | undefined, {} | null | undefined>
|
Type | Description |
void |