Prompt

Can you recommend an OCR API for scanned PDFs that need structured JSON output?

Artificial Intelligence / Computer Vision1 observationLast seen Oct 11, 2026

Latest observation

Oct 11, 2026OpenAI APIWeb search: off

Yes — for scanned PDFs with structured JSON output, I’d recommend one of these OCR/document-extraction APIs depending on your needs:

Best overall for structured JSON

Google Document AI

  • Very strong OCR on scanned PDFs
  • Built for document parsing, not just text extraction
  • Can return structured fields and JSON-like output
  • Good for forms, invoices, receipts, IDs, and general documents

Strong enterprise option

Azure Document Intelligence (formerly Form Recognizer)

  • Excellent OCR + layout extraction
  • Produces structured JSON with bounding boxes, tables, key-value pairs, and confidence scores
  • Good if you want a flexible API and Microsoft ecosystem integration

Good developer-friendly option

Amazon Textract

  • Great for scanned PDFs, forms, and tables
  • Returns structured JSON directly
  • Especially useful if you need tables/key-value extraction at scale

Best for custom document understanding

Mindee

  • Very easy API
  • Good structured extraction for specific document types
  • Nice developer experience, but less general-purpose than Google/Azure/AWS

Best if you want a simple “upload PDF → get JSON”

Veryfi

  • Fast setup
  • Strong for receipts, invoices, expense docs
  • Structured JSON output out of the box

My quick recommendation

  • General scanned PDFs + structured output: Google Document AI
  • Forms/tables and Microsoft stack: Azure Document Intelligence
  • AWS-native workloads: Amazon Textract
  • Invoices/receipts with minimal setup: Veryfi or Mindee

What to look for

When comparing APIs, make sure they support:

  • Scanned PDF input
  • OCR on multipage docs
  • Table extraction
  • Key-value / field extraction
  • Confidence scores
  • JSON output with coordinates
  • Batch processing / async jobs for large PDFs

If you want, I can also give you:

  1. a side-by-side comparison table, or
  2. a recommendation based on your document type (invoices, contracts, forms, medical, etc.).

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