Question

A healthcare clinic receives thousands of scanned patient intake forms each day. The forms use a consistent template with labeled fields (name, date of birth, insurance ID) but often contain handwritten patient entries. The team wants a low-code solution that extracts the field-value pairs into structured key-value data without building or training a custom model, and needs it to handle the handwriting reliably. Which Google Cloud approach should they choose?

Accepted Answer

Use the Document AI Form Parser processor, which extracts key-value pairs and includes handwriting recognition out of the box.

Answer

Use the Vision API DOCUMENT_TEXT_DETECTION feature and write custom logic to associate text blocks into field-value pairs.

Answer

Train a Document AI Custom Extractor processor with hundreds of labeled documents to recognize each field.

Answer

Use the Vision API TEXT_DETECTION feature to return dense text, then apply a regex pipeline to reconstruct the form fields.