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Documentation

Quickstart
  • Quickstart
  • Authentication
  • Response shape
  • Idempotency
  • Errors
  • Rate limits
SDKs
  • Python
  • Node / TypeScript
Concepts
  • Storage, retention, BYOS
  • Data retention & deletion
API reference
  • Overview
  • POST /v1/extract
  • GET /v1/jobs/{id}
  • Webhook deliveries
  • Errors
Cookbooks
  • RAG ingest
  • Patent extraction
  • Batch with webhooks

Cookbooks

Patterns for the OCRQueen API

End-to-end recipes for the most common workflows. Copy, paste, adapt. New to the API? Start with the Quickstart.

  • Ingest documents into a RAG pipeline

    Chunk an OCRQueen extraction into LLM-friendly pieces with provenance + page metadata preserved.

  • Extract patents (figures + claims + references)

    Use profile=advanced to capture diagram graphs, image alt-text, and cross-link reference numerals.

  • Batch processing with webhooks

    Submit thousands of documents in parallel without polling — receive results on your webhook receiver.

OCRQueen

Extract structured JSON from PDFs and PowerPoint — diagrams as graphs, charts as exact numbers, math preserved. Up to 20× cheaper than premium parsers.

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  • vs Azure Document Intelligence
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  • vs Mistral OCR

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