See the supported connectors for Application Integration.

Doc AI - Batch Process task

The Doc AI - Batch Process task lets you send a single batch (asynchronous) request to the Document AI processor to process multiple documents. Document AI then starts a long-running operation (LRO) and stores the processed results in a Cloud Storage bucket. The Document AI processor is a Cloud Document AI component that performs varies document processing actions such as, classify, split, parse or analysis of a document.

Cloud Document AI is a Google Cloud service that allows you to parse structured information from unstructured or semi-structured documents using state-of-the-art Google AI such as natural language, computer vision, translation, and AutoML.

Before you begin

Ensure that you perform the following tasks in your Google Cloud project before configuring the Doc AI - Batch Process task:

Enable the Cloud Document AI API (documentai.googleapis.com).
Enable the Cloud Document AI API
Create an authentication profile. Application Integration uses an authentication profile to connect to an authentication endpoint for the Doc AI - Batch Process task.
Note: If you're creating an authentication profile of Service account type, then ensure that the service account is assigned with the IAM role that contains the following IAM permission(s):
- documentai.processors.processBatch
- documentai.processorVersions.processBatch
To know about IAM permissions and the predefined IAM roles that grant them, see IAM permissions reference.

For information about granting additional roles or permissions to a service account, see Granting, changing, and revoking access.

Configure the Doc AI - Batch Process task

In the Google Cloud console, go to the Application Integration page.
Go to Application Integration
In the navigation menu, click Integrations.
The Integrations page appears listing all the integrations available in the Google Cloud project.
Select an existing integration or click Create integration to create a new one.
If you are creating a new integration:
1. Enter a name and description in the Create Integration pane.
2. Select a region for the integration.
  Note: The Regions dropdown only lists the regions provisioned in your Google Cloud project. To provision a new region, Click Enable Region. See Enable new region for more information.
3. Select a service account for the integration. You can change or update the service account details of an integration any time from the Integration summary pane in the integration toolbar.
  Note: The option to select a service account is displayed only if you have enabled integration governance for the selected region.
4. Click Create.
This opens the integration in the integration editor.
In the integration editor navigation bar, click Tasks to view the list of available tasks.
Click and place the Doc AI - Batch Process element in the integration editor.
Click the Doc AI - Batch Process element on the designer to view the Doc AI - Batch Process task configuration pane.
Go to Authentication, and select an existing authentication profile that you want to use.
Optional. If you have not created an authentication profile prior to configuring the task, Click + New authentication profile and follow the steps as mentioned in Create a new authentication profile.
Go to Task Input, and configure the displayed inputs fields using the following Task input parameters table.
Changes to the inputs fields are saved automatically.

Task input parameters

The following table describes the input parameters of the Doc AI - Batch Process task:

Property	Data type	Description
Region	String	Cloud Document AI location for the processor. For example: `us` - United States.
ProjectsId	String	Your Google Cloud project ID.
ProcessorsId	String	The ID of your custom processor.
Request	JSON	See request JSON structure.

Task output

The Doc AI - Batch Process task returns the name of your long-running operation (LRO), similar to the following sample output:

{
    "name": "projects/[PROJECT_ID]/locations/[LOCATION]/operations/[OPERATION_ID]"
}

Error handling strategy

An error handling strategy for a task specifies the action to take if the task fails due to a temporary error. For information about how to use an error handling strategy, and to know about the different types of error handling strategies, see Error handling strategies.

What's next

Add edges and edge conditions.
Test and publish your integration.
Configure a trigger.
Add a Data Mapping task.
See all tasks for Google Cloud services.