OCR API Comparison Guide

What to compare first

• Latency: Affects UX directly for synchronous OCR workflows.
• Accuracy: Higher accuracy lowers manual correction work.
• Price per page: Impacts cost at scale.
• Language and format support: Ensure your target documents are covered.
• Reliability: Prefer providers with stable uptime and consistent responses.

Published shared-corpus benchmark snapshot

Available engines now: 174.

ocr-shared-11-normalized/v2 · scorer ocr-shared-11-scorer/v2 · 127 models in the comparison set; the stored snapshot contains 165 complete offerings.

How to run your own side-by-side test

Benchmark with your own documents. Keep input, output format, and timeout settings identical per engine. Batch requests are not idempotent: retrying one re-processes and re-bills every item.

curl -X POST https://api.open-ocr.com/v1/ocr/batch \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "items": [
      { "engine": "mistral-mistral-ocr-4-1", "input": { "type": "url", "url": "https://example.com/invoice.png" } },
      { "engine": "google-gemini-3.1-flash-lite", "input": { "type": "url", "url": "https://example.com/invoice.png" } },
      { "engine": "local-tesseract", "input": { "type": "url", "url": "https://example.com/invoice.png" } }
    ]
  }'

Next step

Use the live comparison UI for deeper testing with your own files.