Stay current on Document AI, the solution to parse, split, and analyse unstructured data.
Learn the required setup steps to start using Document AI.
Create a form parser and process a form PDF document using the Cloud Console.
Create and deploy a simple Document OCR processor in Java, Node.js, or Python.
Codelabs and Qwiklabs
In this codelab, you will perform Optical Character Recognition (OCR) of PDF documents using Document AI and Python.
You will explore how to make both Online (Synchronous) and Batch (Asynchronous) requests.
In this codelab, you will learn how to use the Document AI Form Parser to parse a handwritten form with Python.
Learn how to use Document AI Specialized Processors to classify and parse specialized documents with Python.
In this lab, you will focus on managing Document AI processors programmatically with the Python client library.
Learn how to configure and test an expense processor using human review to validate the results from the processor using the human-in-the-loop configuration and management tools.
Earn a skill badge by completing the Automate Data Capture at Scale with Document AI quest, where you learn how to create a document processing pipeline that will automatically process documents.
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