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Auto-Reader OCR — Arabic-first OCR & translation

@auto-readerRun by its publisher: served from their own domain, namespace checked by the registry.MCP server · External

Arabic-first OCR, translation and document extraction. First call mints a free trial key.

Freeno charge per call

One address for any MCP client. No sign-in needed on this server.

What it does

4 read1 act2 other

Grouped by tool name. At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Tools

7 · grouped by tool name · checked 12 Oct 2026

Read · 4Look things up

  • read_manga
  • translate_text
  • ocr_and_translate
  • get_usage

Act · 1Change something

  • create_api_key

Other · 2Neither hinted nor named

  • extract_document
  • ocr_image
Try it in the Inspector
README1 min read

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)

bash
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)

bash
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"

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

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