Creating and managing processors

Before you can send documents to be processed, you must first create your own instance of a processor. This page provides details about creating and managing processors.

Available processors

To create a processor instance using API, you need to know the name for each processor type. Get this list dynamically (with the code below), because your access may change.

The publicly available processor types are:

Digitize processors

  • OCR_PROCESSOR
  • FORM_PARSER_PROCESSOR

Legacy pretrained processors

  • BANK_STATEMENT_PROCESSOR
  • EXPENSE_PROCESSOR
  • FORM_W2_PROCESSOR
  • ID_PROOFING_PROCESSOR
  • INVOICE_PROCESSOR
  • PAYSTUB_PROCESSOR
  • US_DRIVER_LICENSE_PROCESSOR
  • US_PASSPORT_PROCESSOR
  • UTILITY_PROCESSOR

Extract / classify / split processors

  • CUSTOM_EXTRACTION_PROCESSOR
  • CUSTOM_CLASSIFICATION_PROCESSOR
  • CUSTOM_SPLITTING_PROCESSOR
  • SUMMARIZER_PROCESSOR

List processor types

Web UI

  1. In the Google Cloud console, in the Document AI section, go to the Processor Gallery page.

    Go to Processor Gallery

  2. View or search the list of processor types.

REST

This sample shows how to list the available processor types for your project using the fetchProcessorTypes method.

Before using any of the request data, make the following replacements:

  • LOCATION: your processor's location, for example:
    • us - United States
    • eu - European Union
  • PROJECT_ID: Your Google Cloud project ID.

HTTP method and URL:

GET https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION:fetchProcessorTypes

To send your request, choose one of these options:

curl

Execute the following command:

curl -X GET \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION:fetchProcessorTypes"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method GET `
-Headers $headers `
-Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION:fetchProcessorTypes" | Select-Object -Expand Content

The response is a list of ProcessorType which shows the available processor types, along with the category and available locations.

{
  "processorTypes": [
  [
    ...
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/processorTypes/FORM_PARSER_PROCESSOR",
      "type": "FORM_PARSER_PROCESSOR",
      "category": "GENERAL",
      "availableLocations": [
        {
          "locationId": "eu"
        },
        {
          "locationId": "us"
        }
      ],
      "allowCreation": true,
      "launchStage": "GA"
    },
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/processorTypes/OCR_PROCESSOR",
      "type": "OCR_PROCESSOR",
      "category": "GENERAL",
      "availableLocations": [
        {
          "locationId": "eu"
        },
        {
          "locationId": "us"
        }
      ],
      "allowCreation": true,
      "launchStage": "GA"
    },
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/processorTypes/INVOICE_PROCESSOR",
      "type": "INVOICE_PROCESSOR",
      "category": "SPECIALIZED",
      "availableLocations": [
        {
          "locationId": "eu"
        },
        {
          "locationId": "us"
        }
      ],
      "allowCreation": true,
      "launchStage": "GA"
    },
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/processorTypes/US_DRIVER_LICENSE_PROCESSOR",
      "type": "US_DRIVER_LICENSE_PROCESSOR",
      "category": "SPECIALIZED",
      "availableLocations": [
        {
          "locationId": "us"
        },
        {
          "locationId": "eu"
        }
      ],
      "allowCreation": true,
      "launchStage": "GA"
    },
    ...
  ]
}

Python

For more information, see the Document AI Python API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


from google.api_core.client_options import ClientOptions
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'


def fetch_processor_types_sample(project_id: str, location: str) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the location
    # e.g.: projects/project_id/locations/location
    parent = client.common_location_path(project_id, location)

    # Fetch all processor types
    response = client.fetch_processor_types(parent=parent)

    print("Processor types:")
    # Print the available processor types
    for processor_type in response.processor_types:
        if processor_type.allow_creation:
            print(processor_type.type_)

Go

For more information, see the Document AI Go API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.FetchProcessorTypesRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#FetchProcessorTypesRequest.
	}
	resp, err := c.FetchProcessorTypes(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

Java

For more information, see the Document AI Java API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.FetchProcessorTypesRequest;
import com.google.cloud.documentai.v1.FetchProcessorTypesResponse;
import com.google.cloud.documentai.v1.LocationName;

public class SyncFetchProcessorTypes {

  public static void main(String[] args) throws Exception {
    syncFetchProcessorTypes();
  }

  public static void syncFetchProcessorTypes() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      FetchProcessorTypesRequest request =
          FetchProcessorTypesRequest.newBuilder()
              .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
              .build();
      FetchProcessorTypesResponse response =
          documentProcessorServiceClient.fetchProcessorTypes(request);
    }
  }
}

Ruby

For more information, see the Document AI Ruby API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

require "google/cloud/document_ai/v1"

##
# Snippet for the fetch_processor_types call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#fetch_processor_types.
#
def fetch_processor_types
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::FetchProcessorTypesRequest.new

  # Call the fetch_processor_types method.
  result = client.fetch_processor_types request

  # The returned object is of type Google::Cloud::DocumentAI::V1::FetchProcessorTypesResponse.
  p result
end

C#

For more information, see the Document AI C# API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

using Google.Api.Gax.ResourceNames;
using Google.Cloud.DocumentAI.V1;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for FetchProcessorTypes</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void FetchProcessorTypesRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        FetchProcessorTypesRequest request = new FetchProcessorTypesRequest
        {
            ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
        };
        // Make the request
        FetchProcessorTypesResponse response = documentProcessorServiceClient.FetchProcessorTypes(request);
    }
}

Create a processor

Web UI

  1. In the Google Cloud console, in the Document AI section, go to the Processor Gallery page.

    Go to Processor Gallery

  2. View or search the processor gallery to find the processor you want to create.

  3. Click on the processor type from the list you want to create.

  4. In the side Create processor window specify a processor name.

  5. Select your Region from the list.

  6. Click Create to create your processor.

    You will be taken to the processor's Overview tab, which contains information such as Name, ID, Type, and Prediction endpoint. Use this endpoint to send requests.

REST

This sample shows you how to create a new processor using the processors.create method.

Before using any of the request data, make the following replacements:

  • LOCATION: your processor's location, for example:
    • us - United States
    • eu - European Union
  • PROJECT_ID: Your Google Cloud project ID.
  • PROCESSOR_TYPE: Type of the Processor, for example:
    • OCR_PROCESSOR
    • FORM_PARSER_PROCESSOR
    • INVOICE_PROCESSOR
    • US_DRIVER_LICENSE_PROCESSOR
  • DISPLAY_NAME: Display name for the processor.

HTTP method and URL:

POST https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors

Request JSON body:

{
  "type": "PROCESSOR_TYPE",
  "displayName": "DISPLAY_NAME"
}

To send your request, choose one of these options:

curl

Save the request body in a file named request.json, and execute the following command:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors"

PowerShell

Save the request body in a file named request.json, and execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method POST `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors" | Select-Object -Expand Content

If the request is successful, the server returns a 200 OK HTTP status code and the response in JSON format. The response contains information about the newly created processor, such as the processEndpoint and full processor name. Both of these strings contain the unique processor ID (e.g. aa22ec60216f6ccc) needed to send requests.

{
  "name": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID",
  "type": "PROCESSOR_TYPE",
  "displayName": "DISPLAY_NAME",
  "state": "ENABLED",
  "processEndpoint": "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:process",
  "createTime": "2022-03-02T22:50:31.395849Z",
  "defaultProcessorVersion": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID/processorVersions/pretrained"
}

Python

For more information, see the Document AI Python API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


from google.api_core.client_options import ClientOptions
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'
# processor_display_name = 'YOUR_PROCESSOR_DISPLAY_NAME' # Must be unique per project, e.g.: 'My Processor'
# processor_type = 'YOUR_PROCESSOR_TYPE' # Use fetch_processor_types to get available processor types


def create_processor_sample(
    project_id: str, location: str, processor_display_name: str, processor_type: str
) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the location
    # e.g.: projects/project_id/locations/location
    parent = client.common_location_path(project_id, location)

    # Create a processor
    processor = client.create_processor(
        parent=parent,
        processor=documentai.Processor(
            display_name=processor_display_name, type_=processor_type
        ),
    )

    # Print the processor information
    print(f"Processor Name: {processor.name}")
    print(f"Processor Display Name: {processor.display_name}")
    print(f"Processor Type: {processor.type_}")

Go

For more information, see the Document AI Go API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.CreateProcessorRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#CreateProcessorRequest.
	}
	resp, err := c.CreateProcessor(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

Java

For more information, see the Document AI Java API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

import com.google.cloud.documentai.v1.CreateProcessorRequest;
import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.LocationName;
import com.google.cloud.documentai.v1.Processor;

public class SyncCreateProcessor {

  public static void main(String[] args) throws Exception {
    syncCreateProcessor();
  }

  public static void syncCreateProcessor() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      CreateProcessorRequest request =
          CreateProcessorRequest.newBuilder()
              .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
              .setProcessor(Processor.newBuilder().build())
              .build();
      Processor response = documentProcessorServiceClient.createProcessor(request);
    }
  }
}

Ruby

For more information, see the Document AI Ruby API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

require "google/cloud/document_ai/v1"

##
# Snippet for the create_processor call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#create_processor.
#
def create_processor
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::CreateProcessorRequest.new

  # Call the create_processor method.
  result = client.create_processor request

  # The returned object is of type Google::Cloud::DocumentAI::V1::Processor.
  p result
end

C#

For more information, see the Document AI C# API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

using Google.Api.Gax.ResourceNames;
using Google.Cloud.DocumentAI.V1;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for CreateProcessor</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void CreateProcessorRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        CreateProcessorRequest request = new CreateProcessorRequest
        {
            ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
            Processor = new Processor(),
        };
        // Make the request
        Processor response = documentProcessorServiceClient.CreateProcessor(request);
    }
}

Get a list of processors

Web UI

  1. In the Google Cloud console, in the Document AI section, go to the Processors page.

    Go to the Processors page

    The Processors page lists all of the processors along with their Name, Status, Region, and Type.

REST

This sample shows you how to list existing processors using the processors.list method.

Before using any of the request data, make the following replacements:

  • LOCATION: your processor's location, for example:
    • us - United States
    • eu - European Union
  • PROJECT_ID: Your Google Cloud project ID.

HTTP method and URL:

GET https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors

To send your request, choose one of these options:

curl

Execute the following command:

curl -X GET \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method GET `
-Headers $headers `
-Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors" | Select-Object -Expand Content

The response is a list of Processors, which contains information about each processor such as its name, type, state, and other details.

{
  "processors": [
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID",
      "type": "FORM_PARSER_PROCESSOR",
      "displayName": "DISPLAY_NAME",
      "state": "ENABLED",
      "processEndpoint": "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:process",
      "createTime": "2022-03-02T22:33:54.938593Z",
      "defaultProcessorVersion": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID/processorVersions/pretrained"
    }
  ]
}

Python

For more information, see the Document AI Python API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


from google.api_core.client_options import ClientOptions
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'


def list_processors_sample(project_id: str, location: str) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the location
    # e.g.: projects/project_id/locations/location
    parent = client.common_location_path(project_id, location)

    # Make ListProcessors request
    processor_list = client.list_processors(parent=parent)

    # Print the processor information
    for processor in processor_list:
        print(f"Processor Name: {processor.name}")
        print(f"Processor Display Name: {processor.display_name}")
        print(f"Processor Type: {processor.type_}")
        print("")

Go

For more information, see the Document AI Go API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
	"google.golang.org/api/iterator"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.ListProcessorsRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#ListProcessorsRequest.
	}
	it := c.ListProcessors(ctx, req)
	for {
		resp, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			// TODO: Handle error.
		}
		// TODO: Use resp.
		_ = resp
	}
}

Java

For more information, see the Document AI Java API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.ListProcessorsRequest;
import com.google.cloud.documentai.v1.LocationName;
import com.google.cloud.documentai.v1.Processor;

public class SyncListProcessors {

  public static void main(String[] args) throws Exception {
    syncListProcessors();
  }

  public static void syncListProcessors() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      ListProcessorsRequest request =
          ListProcessorsRequest.newBuilder()
              .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
              .setPageSize(883849137)
              .setPageToken("pageToken873572522")
              .build();
      for (Processor element :
          documentProcessorServiceClient.listProcessors(request).iterateAll()) {
        // doThingsWith(element);
      }
    }
  }
}

Ruby

For more information, see the Document AI Ruby API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

require "google/cloud/document_ai/v1"

##
# Snippet for the list_processors call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#list_processors.
#
def list_processors
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::ListProcessorsRequest.new

  # Call the list_processors method.
  result = client.list_processors request

  # The returned object is of type Gapic::PagedEnumerable. You can iterate
  # over elements, and API calls will be issued to fetch pages as needed.
  result.each do |item|
    # Each element is of type ::Google::Cloud::DocumentAI::V1::Processor.
    p item
  end
end

C#

For more information, see the Document AI C# API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

using Google.Api.Gax;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.DocumentAI.V1;
using System;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for ListProcessors</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void ListProcessorsRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        ListProcessorsRequest request = new ListProcessorsRequest
        {
            ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
        };
        // Make the request
        PagedEnumerable<ListProcessorsResponse, Processor> response = documentProcessorServiceClient.ListProcessors(request);

        // Iterate over all response items, lazily performing RPCs as required
        foreach (Processor item in response)
        {
            // Do something with each item
            Console.WriteLine(item);
        }

        // Or iterate over pages (of server-defined size), performing one RPC per page
        foreach (ListProcessorsResponse page in response.AsRawResponses())
        {
            // Do something with each page of items
            Console.WriteLine("A page of results:");
            foreach (Processor item in page)
            {
                // Do something with each item
                Console.WriteLine(item);
            }
        }

        // Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
        int pageSize = 10;
        Page<Processor> singlePage = response.ReadPage(pageSize);
        // Do something with the page of items
        Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
        foreach (Processor item in singlePage)
        {
            // Do something with each item
            Console.WriteLine(item);
        }
        // Store the pageToken, for when the next page is required.
        string nextPageToken = singlePage.NextPageToken;
    }
}

View details about a processor

Web UI

  1. In the Google Cloud console, in the Document AI section, go to the Processors page.

    Go to the Processors page

  2. From the list of processors, click on the name of the processor that you want to view details for.

    You will be taken to the processor's Overview tab, which contains information such as Name, ID, Type, and Prediction endpoint.

REST

This sample shows you how to get details about an existing Processor using the processors.get method.

Before using any of the request data, make the following replacements:

  • LOCATION: your processor's location, for example:
    • us - United States
    • eu - European Union
  • PROJECT_ID: Your Google Cloud project ID.
  • PROCESSOR_ID: the ID of your custom processor.

HTTP method and URL:

GET https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID

To send your request, choose one of these options:

curl

Execute the following command:

curl -X GET \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method GET `
-Headers $headers `
-Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID" | Select-Object -Expand Content

The response is a Processor, which contains information about the processor such as its name, type, state, and other details.

{
  "processors": [
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID",
      "type": "OCR_PROCESSOR",
      "displayName": "DISPLAY_NAME",
      "state": "ENABLED",
      "processEndpoint": "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:process",
      "createTime": "2022-03-02T22:33:54.938593Z",
      "defaultProcessorVersion": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID/processorVersions/pretrained"
    }
  ]
}

Python

For more information, see the Document AI Python API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


from google.api_core.client_options import ClientOptions
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'
# processor_id = 'YOUR_PROCESSOR_ID'


def get_processor_sample(project_id: str, location: str, processor_id: str) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the processor, e.g.:
    # projects/{project_id}/locations/{location}/processors/{processor_id}
    name = client.processor_path(project_id, location, processor_id)

    # Make GetProcessor request
    processor = client.get_processor(name=name)

    # Print the processor information
    print(f"Processor Name: {processor.name}")
    print(f"Processor Display Name: {processor.display_name}")
    print(f"Processor Type: {processor.type_}")

Go

For more information, see the Document AI Go API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.GetProcessorRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#GetProcessorRequest.
	}
	resp, err := c.GetProcessor(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

Java

For more information, see the Document AI Java API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.GetProcessorRequest;
import com.google.cloud.documentai.v1.Processor;
import com.google.cloud.documentai.v1.ProcessorName;

public class SyncGetProcessor {

  public static void main(String[] args) throws Exception {
    syncGetProcessor();
  }

  public static void syncGetProcessor() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      GetProcessorRequest request =
          GetProcessorRequest.newBuilder()
              .setName(ProcessorName.of("[PROJECT]", "[LOCATION]", "[PROCESSOR]").toString())
              .build();
      Processor response = documentProcessorServiceClient.getProcessor(request);
    }
  }
}

Ruby

For more information, see the Document AI Ruby API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

require "google/cloud/document_ai/v1"

##
# Snippet for the get_processor call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#get_processor.
#
def get_processor
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::GetProcessorRequest.new

  # Call the get_processor method.
  result = client.get_processor request

  # The returned object is of type Google::Cloud::DocumentAI::V1::Processor.
  p result
end

C#

For more information, see the Document AI C# API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

using Google.Cloud.DocumentAI.V1;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for GetProcessor</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void GetProcessorRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        GetProcessorRequest request = new GetProcessorRequest
        {
            ProcessorName = ProcessorName.FromProjectLocationProcessor("[PROJECT]", "[LOCATION]", "[PROCESSOR]"),
        };
        // Make the request
        Processor response = documentProcessorServiceClient.GetProcessor(request);
    }
}

Enable a processor

Web UI

  1. In the Google Cloud console, in the Document AI section, go to the Processors page.

    Go to the Processors page

  2. Next to your processor, in the Action menu , click Enable processor.

REST

This sample shows you how to enable an existing Processor using the processors.enable method.

Before using any of the request data, make the following replacements:

  • LOCATION: your processor's location, for example:
    • us - United States
    • eu - European Union
  • PROJECT_ID: Your Google Cloud project ID.
  • PROCESSOR_ID: the ID of your custom processor.

HTTP method and URL:

POST https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:enable

To send your request, choose one of these options:

curl

Execute the following command:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d "" \
"https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:enable"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method POST `
-Headers $headers `
-Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:enable" | Select-Object -Expand Content

The response is a long running operation

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.documentai.v1.EnableProcessorMetadata",
    "commonMetadata": {
      "state": "RUNNING",
      "createTime": "2022-03-02T22:52:49.957096Z",
      "updateTime": "2022-03-02T22:52:50.175976Z",
      "resource": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID"
    }
  }
}
  1. To poll the long-running operation, call operations.get:

      curl -X GET https://documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/operations/OPERATION \
           -H "Authorization: Bearer "$(gcloud auth print-access-token) \
           -H "X-Goog-User-Project: PROJECT_ID"
    
  2. The EnableProcessorMetadata in the response indicates the state of the operation:

    {
      "name": "projects/<project_id>/locations/<location>/operations/<operation>",
      "metadata": {
        "@type": "type.googleapis.com/google.cloud.documentai.v1.EnableProcessorMetadata",
        "commonMetadata": {
          "state": "SUCCEEDED",
          "createTime": "2022-03-02T22:52:49.957096Z",
          "updateTime": "2022-03-02T22:52:50.175976Z",
          "resource": "projects/<project_id>/locations/<location>/processors/<processor_id>"
        }
      },
      "done": true,
      "response": {
        "@type": "type.googleapis.com/google.cloud.documentai.v1.EnableProcessorResponse"
      }
    }
    

Python

For more information, see the Document AI Python API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


from google.api_core.client_options import ClientOptions
from google.api_core.exceptions import FailedPrecondition
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'
# processor_id = 'YOUR_PROCESSOR_ID'


def enable_processor_sample(project_id: str, location: str, processor_id: str) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the location
    # e.g.: projects/project_id/locations/location/processors/processor_id
    processor_name = client.processor_path(project_id, location, processor_id)
    request = documentai.EnableProcessorRequest(name=processor_name)

    # Make EnableProcessor request
    try:
        operation = client.enable_processor(request=request)

        # Print operation name
        print(operation.operation.name)
        # Wait for operation to complete
        operation.result()
    # Cannot enable a processor that is already enabled
    except FailedPrecondition as e:
        print(e.message)

Go

For more information, see the Document AI Go API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.EnableProcessorRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#EnableProcessorRequest.
	}
	op, err := c.EnableProcessor(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	resp, err := op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

Java

For more information, see the Document AI Java API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.EnableProcessorRequest;
import com.google.cloud.documentai.v1.EnableProcessorResponse;
import com.google.cloud.documentai.v1.ProcessorName;

public class SyncEnableProcessor {

  public static void main(String[] args) throws Exception {
    syncEnableProcessor();
  }

  public static void syncEnableProcessor() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      EnableProcessorRequest request =
          EnableProcessorRequest.newBuilder()
              .setName(ProcessorName.of("[PROJECT]", "[LOCATION]", "[PROCESSOR]").toString())
              .build();
      EnableProcessorResponse response =
          documentProcessorServiceClient.enableProcessorAsync(request).get();
    }
  }
}

Ruby

For more information, see the Document AI Ruby API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

require "google/cloud/document_ai/v1"

##
# Snippet for the enable_processor call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#enable_processor.
#
def enable_processor
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::EnableProcessorRequest.new

  # Call the enable_processor method.
  result = client.enable_processor request

  # The returned object is of type Gapic::Operation. You can use it to
  # check the status of an operation, cancel it, or wait for results.
  # Here is how to wait for a response.
  result.wait_until_done! timeout: 60
  if result.response?
    p result.response
  else
    puts "No response received."
  end
end

C#

For more information, see the Document AI C# API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

using Google.Cloud.DocumentAI.V1;
using Google.LongRunning;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for EnableProcessor</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void EnableProcessorRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        EnableProcessorRequest request = new EnableProcessorRequest
        {
            ProcessorName = ProcessorName.FromProjectLocationProcessor("[PROJECT]", "[LOCATION]", "[PROCESSOR]"),
        };
        // Make the request
        Operation<EnableProcessorResponse, EnableProcessorMetadata> response = documentProcessorServiceClient.EnableProcessor(request);

        // Poll until the returned long-running operation is complete
        Operation<EnableProcessorResponse, EnableProcessorMetadata> completedResponse = response.PollUntilCompleted();
        // Retrieve the operation result
        EnableProcessorResponse result = completedResponse.Result;

        // Or get the name of the operation
        string operationName = response.Name;
        // This name can be stored, then the long-running operation retrieved later by name
        Operation<EnableProcessorResponse, EnableProcessorMetadata> retrievedResponse = documentProcessorServiceClient.PollOnceEnableProcessor(operationName);
        // Check if the retrieved long-running operation has completed
        if (retrievedResponse.IsCompleted)
        {
            // If it has completed, then access the result
            EnableProcessorResponse retrievedResult = retrievedResponse.Result;
        }
    }
}

Disable a processor

Web UI

  1. In the Google Cloud console, in the Document AI section, go to the Processors page.

    Go to the Processors page

    1. Next to your processor, in the Action menu , click Disable processor.

REST

This sample shows you how to disable an existing Processor using the processors.disable method.

Before using any of the request data, make the following replacements:

  • LOCATION: your processor's location, for example:
    • us - United States
    • eu - European Union
  • PROJECT_ID: Your Google Cloud project ID.
  • PROCESSOR_ID: the ID of your custom processor.

HTTP method and URL:

POST https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:disable

To send your request, choose one of these options:

curl

Execute the following command:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d "" \
"https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:disable"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method POST `
-Headers $headers `
-Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:disable" | Select-Object -Expand Content

The response is a long running operation

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.documentai.v1.DisableProcessorMetadata",
    "commonMetadata": {
      "state": "RUNNING",
      "createTime": "2022-03-02T22:52:49.957096Z",
      "updateTime": "2022-03-02T22:52:50.175976Z",
      "resource": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID"
    }
  }
}
  1. To poll the long-running operation, call operations.get:

      curl -X GET https://documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/operations/OPERATION \
           -H "Authorization: Bearer "$(gcloud auth print-access-token) \
           -H "X-Goog-User-Project: PROJECT_ID"
    
    1. The DisableProcessorMetadata in the response indicates the state of the operation:

      {
        "name": "projects/<project_id>/locations/<location>/operations/<operation>",
        "metadata": {
          "@type": "type.googleapis.com/google.cloud.documentai.v1.DisableProcessorMetadata",
          "commonMetadata": {
            "state": "SUCCEEDED",
            "createTime": "2022-03-02T22:52:49.957096Z",
            "updateTime": "2022-03-02T22:52:50.175976Z",
            "resource": "projects/<project_id>/locations/<location>/processors/<processor_id>"
          }
        },
        "done": true,
        "response": {
          "@type": "type.googleapis.com/google.cloud.documentai.v1.DisableProcessorResponse"
        }
      }
      

Python

For more information, see the Document AI Python API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


from google.api_core.client_options import ClientOptions
from google.api_core.exceptions import FailedPrecondition
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'
# processor_id = 'YOUR_PROCESSOR_ID'


def disable_processor_sample(project_id: str, location: str, processor_id: str) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the processor
    # e.g.: projects/project_id/locations/location/processors/processor_id
    processor_name = client.processor_path(project_id, location, processor_id)
    request = documentai.DisableProcessorRequest(name=processor_name)

    # Make DisableProcessor request
    try:
        operation = client.disable_processor(request=request)

        # Print operation name
        print(operation.operation.name)
        # Wait for operation to complete
        operation.result()
    # Cannot disable a processor that is already disabled
    except FailedPrecondition as e:
        print(e.message)

Go

For more information, see the Document AI Go API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.DisableProcessorRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#DisableProcessorRequest.
	}
	op, err := c.DisableProcessor(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	resp, err := op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

Java

For more information, see the Document AI Java API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

import com.google.cloud.documentai.v1.DisableProcessorRequest;
import com.google.cloud.documentai.v1.DisableProcessorResponse;
import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.ProcessorName;

public class SyncDisableProcessor {

  public static void main(String[] args) throws Exception {
    syncDisableProcessor();
  }

  public static void syncDisableProcessor() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      DisableProcessorRequest request =
          DisableProcessorRequest.newBuilder()
              .setName(ProcessorName.of("[PROJECT]", "[LOCATION]", "[PROCESSOR]").toString())
              .build();
      DisableProcessorResponse response =
          documentProcessorServiceClient.disableProcessorAsync(request).get();
    }
  }
}

Ruby

For more information, see the Document AI Ruby API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

require "google/cloud/document_ai/v1"

##
# Snippet for the disable_processor call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#disable_processor.
#
def disable_processor
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::DisableProcessorRequest.new

  # Call the disable_processor method.
  result = client.disable_processor request

  # The returned object is of type Gapic::Operation. You can use it to
  # check the status of an operation, cancel it, or wait for results.
  # Here is how to wait for a response.
  result.wait_until_done! timeout: 60
  if result.response?
    p result.response
  else
    puts "No response received."
  end
end

C#

For more information, see the Document AI C# API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

using Google.Cloud.DocumentAI.V1;
using Google.LongRunning;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for DisableProcessor</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void DisableProcessorRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        DisableProcessorRequest request = new DisableProcessorRequest
        {
            ProcessorName = ProcessorName.FromProjectLocationProcessor("[PROJECT]", "[LOCATION]", "[PROCESSOR]"),
        };
        // Make the request
        Operation<DisableProcessorResponse, DisableProcessorMetadata> response = documentProcessorServiceClient.DisableProcessor(request);

        // Poll until the returned long-running operation is complete
        Operation<DisableProcessorResponse, DisableProcessorMetadata> completedResponse = response.PollUntilCompleted();
        // Retrieve the operation result
        DisableProcessorResponse result = completedResponse.Result;

        // Or get the name of the operation
        string operationName = response.Name;
        // This name can be stored, then the long-running operation retrieved later by name
        Operation<DisableProcessorResponse, DisableProcessorMetadata> retrievedResponse = documentProcessorServiceClient.PollOnceDisableProcessor(operationName);
        // Check if the retrieved long-running operation has completed
        if (retrievedResponse.IsCompleted)
        {
            // If it has completed, then access the result
            DisableProcessorResponse retrievedResult = retrievedResponse.Result;
        }
    }
}

Delete a processor

Web UI

  1. In the Google Cloud console, in the Document AI section, go to the Processors page.

    Go to the Processors page

    1. Next to your processor, in the Action menu , click Delete processor.

REST

This sample shows you how to delete an existing Processor using the processors.delete method.

Before using any of the request data, make the following replacements:

  • LOCATION: your processor's location, for example:
    • us - United States
    • eu - European Union
  • PROJECT_ID: Your Google Cloud project ID.
  • PROCESSOR_ID: the ID of your custom processor.

HTTP method and URL:

DELETE https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID

To send your request, choose one of these options:

curl

Execute the following command:

curl -X DELETE \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method DELETE `
-Headers $headers `
-Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID" | Select-Object -Expand Content

The response is a long-running operation

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.documentai.v1.DeleteProcessorMetadata",
    "commonMetadata": {
      "state": "RUNNING",
      "createTime": "2022-03-02T22:52:49.957096Z",
      "updateTime": "2022-03-02T22:52:50.175976Z",
      "resource": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID"
    }
  }
}
  1. To poll the long-running operation, call operations.get:

      curl -X GET https://documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/operations/OPERATION \
           -H "Authorization: Bearer "$(gcloud auth print-access-token) \
           -H "X-Goog-User-Project: PROJECT_ID"
    
  2. The DeleteProcessorMetadata in the response indicates the state of the operation:

      {
        "name": "projects/<project_id>/locations/<location>/operations/<operation>",
        "metadata": {
          "@type": "type.googleapis.com/google.cloud.documentai.v1.DeleteProcessorMetadata",
          "commonMetadata": {
            "state": "SUCCEEDED",
            "createTime": "2022-03-02T22:52:49.957096Z",
            "updateTime": "2022-03-02T22:52:50.175976Z",
            "resource": "projects/<project_id>/locations/<location>/processors/<processor_id>"
          }
        },
        "done": true,
        "response": {
          "@type": "type.googleapis.com/google.protobuf.Empty"
        }
      }
    

Python

For more information, see the Document AI Python API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


from google.api_core.client_options import ClientOptions
from google.api_core.exceptions import NotFound
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'
# processor_id = 'YOUR_PROCESSOR_ID'


def delete_processor_sample(project_id: str, location: str, processor_id: str) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the processor
    # e.g.: projects/project_id/locations/location/processors/processor_id
    processor_name = client.processor_path(project_id, location, processor_id)

    # Delete a processor
    try:
        operation = client.delete_processor(name=processor_name)
        # Print operation details
        print(operation.operation.name)
        # Wait for operation to complete
        operation.result()
    except NotFound as e:
        print(e.message)

Go

For more information, see the Document AI Go API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.DeleteProcessorRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#DeleteProcessorRequest.
	}
	op, err := c.DeleteProcessor(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	err = op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
}

Java

For more information, see the Document AI Java API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

import com.google.cloud.documentai.v1.DeleteProcessorRequest;
import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.ProcessorName;
import com.google.protobuf.Empty;

public class SyncDeleteProcessor {

  public static void main(String[] args) throws Exception {
    syncDeleteProcessor();
  }

  public static void syncDeleteProcessor() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      DeleteProcessorRequest request =
          DeleteProcessorRequest.newBuilder()
              .setName(ProcessorName.of("[PROJECT]", "[LOCATION]", "[PROCESSOR]").toString())
              .build();
      documentProcessorServiceClient.deleteProcessorAsync(request).get();
    }
  }
}

Ruby

For more information, see the Document AI Ruby API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

require "google/cloud/document_ai/v1"

##
# Snippet for the delete_processor call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#delete_processor.
#
def delete_processor
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::DeleteProcessorRequest.new

  # Call the delete_processor method.
  result = client.delete_processor request

  # The returned object is of type Gapic::Operation. You can use it to
  # check the status of an operation, cancel it, or wait for results.
  # Here is how to wait for a response.
  result.wait_until_done! timeout: 60
  if result.response?
    p result.response
  else
    puts "No response received."
  end
end

C#

For more information, see the Document AI C# API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

using Google.Cloud.DocumentAI.V1;
using Google.LongRunning;
using Google.Protobuf.WellKnownTypes;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for DeleteProcessor</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void DeleteProcessorRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        DeleteProcessorRequest request = new DeleteProcessorRequest
        {
            ProcessorName = ProcessorName.FromProjectLocationProcessor("[PROJECT]", "[LOCATION]", "[PROCESSOR]"),
        };
        // Make the request
        Operation<Empty, DeleteProcessorMetadata> response = documentProcessorServiceClient.DeleteProcessor(request);

        // Poll until the returned long-running operation is complete
        Operation<Empty, DeleteProcessorMetadata> completedResponse = response.PollUntilCompleted();
        // Retrieve the operation result
        Empty result = completedResponse.Result;

        // Or get the name of the operation
        string operationName = response.Name;
        // This name can be stored, then the long-running operation retrieved later by name
        Operation<Empty, DeleteProcessorMetadata> retrievedResponse = documentProcessorServiceClient.PollOnceDeleteProcessor(operationName);
        // Check if the retrieved long-running operation has completed
        if (retrievedResponse.IsCompleted)
        {
            // If it has completed, then access the result
            Empty retrievedResult = retrievedResponse.Result;
        }
    }
}