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Ocr README

The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Ocr listing page.

Back to Ocr View source on GitHub

Auto-Reader OCR — Arabic-first OCR & Document AI for agents

Extract text from images and PDFs (best-in-class Arabic, manga-aware Japanese, 13+ languages auto-detected), translate 100+ languages, pull structured fields from invoices/receipts/IDs — with Saudi ZATCA e-invoice QR validation — and get RAG-ready markdown or semantic chunks. Self-hosted, PDPL-compliant: documents are processed transiently and never stored.

No signup needed. Your first call auto-provisions a free trial key.

Add to Claude Code (10 seconds)

Terminal
claude mcp add --transport http auto-reader-ocr https://api.auto-reader.com/mcp

Registry: com.auto-reader/ocr · Tools: ocr_image, extract_document, translate_text, ocr_and_translate, get_usage, create_api_key.

Or plain HTTP (any agent, any language)

Terminal
curl -X POST https://api.auto-reader.com/signup      # -> {"api_key":"nsk_live_..."}
curl -X POST https://api.auto-reader.com/v1/ocr \
  -H "Authorization: Bearer $KEY" -F "file=@page.png" -F "lang=auto"
  • Machine manifest: https://api.auto-reader.com/llms.txt
  • OpenAPI: https://api.auto-reader.com/openapi.json
  • Idempotency-Key header honored; 402 responses carry a buy_direct link.
  • Free tier: 250 pages/day with an email, 25/day keyless. Credits never expire.

Why agents pick this API

  • Arabic is the differentiator: RTL-aware layout, logical-order text, RTL-correct word boxes, Arabic-Indic digits — plus Arabic↔English code-switched documents.
  • format=markdown / format=chunks (title-bounded, tables kept whole) turn any scan into RAG input in one call; Accept: text/markdown returns a raw .md body.
  • extract_document returns {value, confidence, box} per field, sourced from OCR geometry — never model guesswork.

Site: https://ocr.auto-reader.com · العربية: https://ocr.auto-reader.com/ar