Question

A healthcare analytics company needs to extract structured data (patient ID, test names, numeric result values, and reference ranges) from thousands of scanned lab reports that come from dozens of different labs, each using its own unique layout. The pre-trained Document AI processors do not recognize these domain-specific fields, and the layouts vary too widely for a template-based rules approach. The team wants the lowest-code path to a production extraction pipeline. What should they do?

Accepted Answer

Use the Document AI Custom Extractor processor, label a set of representative lab reports with the target fields, and train the processor to extract them.

Answer

Use the Document AI Form Parser processor, which automatically extracts all key-value pairs from any document layout without training.

Answer

Use the Document OCR processor to extract raw text, then write custom regular expressions to locate each field in the output.

Answer

Fine-tune a Gemini model in Model Garden on the scanned images to output the structured fields as JSON.