How can I create a custom extractor for Google Document AI using a generative AI model and update its schema programmatically from a NET application

Question

With the code, can you tell me How can I create a custom extractor for Google Document AI using a generative AI model and update its schema programmatically from a .NET application?

Answer 1

To create a custom extractor for Google Document AI using a generative AI model, integrate a local AI model for document parsing and update the schema using Google's Document AI API from a .NET application.

Here is the code snippet you can refer to:

In the above code we are using the following points:

• Google Document AI API Integration: Uses Google.Cloud.DocumentAI.V1 to update the document schema programmatically.
• Custom Schema Definition: Defines a structured schema (DocumentSchema) to extract specific fields.
• Asynchronous API Calls: Uses await for non-blocking execution.
• Flexible Updates: Allows dynamic modifications to the schema as needed.

Hence, a .NET application can programmatically create and update a Google Document AI extractor schema by leveraging the DocumentSchemaServiceClient and defining custom entity types.