# Auto-Reader OCR Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Auto-Reader OCR

Extract text and structured data from receipts, invoices, and documents with Arabic-first accuracy.

- Record: https://musedirectory.ai/connector/auto-reader-ocr
- Category: Shopping & Commerce
- Developer: Samqra
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 4463ms, checked 2026-09-28T09:15:50Z
- Endpoint: https://api.auto-reader.com/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-24T11:11:21Z)
- Source: Found in the official MCP Registry (com.auto-reader/ocr) https://registry.modelcontextprotocol.io/v0/servers?search=com.auto-reader%2Focr

OCR and document extraction service with strong Arabic, Persian, and multilingual support. Extracts structured fields from invoices, receipts, and ID cards; reads manga and comics; translates text between 13+ languages. Includes Saudi ZATCA e-invoice QR validation.

Example request: "Extract the items and total from a receipt photo so I can track my spending."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Auto-Reader OCR to help me. It is a free service with an MCP server at https://api.auto-reader.com/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- extract_document: Extract STRUCTURED FIELDS from a document image: invoices, receipts, ID cards — or any custom JSON schema you supply. Every field returns {value, confidence, box} where the confidence and box come from the OCR geometry (never model guesswork); absent fields are null. preset="zatc
- ocr_image: Extract text from an image with GPU OCR. Best-in-class Arabic (plus Persian/Urdu) accuracy, manga-aware vertical Japanese, and strong English, French, Spanish, German, Chinese, Korean, Russian, Italian and Portuguese — 13+ languages. Automatic language and script detection with l
- read_manga: OCR a comic/manga page, routed by LANGUAGE (not the blanket "manga = Japanese" assumption). Japanese goes to the manga specialist reader that reads vertical, hand-lettered speech bubbles in right-to-left order; Korean manhwa, Chinese manhua and other scripts use their own OCR pac
- translate_text: Translate text between 13+ languages with an LLM. Arabic-first quality, with formality control (formal/informal) and optional context to disambiguate meaning. Handles both short dictionary-style word lookups and full documents. Returns the translation and, when available, alterna
- ocr_and_translate: One call: OCR an image, then translate every line into target_lang. Arabic-first OCR and manga-aware Japanese with right-to-left-aware layout, followed by LLM translation. Automatic source-language detection. Provide the image as base64. Ideal for reading foreign documents, signs
- get_usage: Check your Auto-Reader OCR key: tier, remaining daily free credits, prepaid credit balance, subscription allowance, and per-minute rate limit. Use it to throttle yourself before hitting a limit.
- create_api_key: Provision a new Auto-Reader OCR API key instantly, with no human steps. Pass an optional email to unlock the larger free tier (about 250 credits/day, vs about 25/day for an email-less trial key). Store the returned key and pass it as api_key on future calls.

Screening checks:
- MCP handshake: pass (Answered in 84ms)
- Domain against threat feeds (Cloudflare security DNS): pass (api.auto-reader.com not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (7 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 102 days ago)
- AI review of purpose and tool behavior: pass (No concerns)