Ocr

com.auto-reader由 auto-reader.com 發布官方發布者v1.0.3更新於 Oct 24, 2026

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

已驗證Streamable HTTP可網頁執行媒體與設計AI 與機器學習

概覽

AI 產生的概覽

遠端 OCR 與文件 AI 服務,讓助理從圖片讀取文字、擷取結構化欄位並進行翻譯,阿拉伯語支援尤其突出。

可以做什麼
  • 以 GPU OCR 從圖片讀取文字,支援阿拉伯語、波斯語、烏爾都語、直排日文等 13 種以上語言,並可自動偵測語言。
  • 辨識漫畫頁面,依語言將日文、韓國條漫與中文漫畫分派給對應的辨識引擎。
  • 從發票、收據、身分證件或自訂 JSON 結構中擷取結構化欄位,每個欄位回傳值、信心度與位置框。
  • 在多種語言之間翻譯文字,可控制正式程度並提供替代譯法,也能一次呼叫完成圖片辨識並逐行翻譯。
  • 查詢金鑰等級、剩餘額度與速率限制,並開通新的 API 金鑰。
適用情境
適合需要讀取掃描檔、照片文件、標示牌、收據或漫畫頁面的情境,尤其是阿拉伯語等非拉丁文字,或需要把掃描檔轉成結構化欄位、譯文而不想自建 OCR 流程時。
執行需求
透過 streamable HTTP 連線的遠端 MCP 端點,不需本機執行環境或安裝套件。持續使用需要 Auto-Reader API 金鑰:首次呼叫會自動核發免費試用金鑰,之後呼叫需以 api_key 參數傳入該金鑰;提供電子郵件可解鎖較大的免費額度。需要能連線至服務商 API 的網路。
安裝前請注意
圖片與文件會傳送給第三方服務處理。此服務可自行建立 API 金鑰,回傳的金鑰應妥善保存並視為機密。免費額度有限(無電子郵件約每日 25 點,提供電子郵件約每日 250 點),超出後可能涉及付費額度或訂閱。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Ocr,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/com.auto-reader%2Focr/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "ocr": {
      "type": "http",
      "url": "https://api.auto-reader.com/mcp"
    }
  }
}

README

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 "[email protected]" -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

來源:README.md,提交 8bcaf28

工具

7

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="zatca" additionally decodes the Saudi ZATCA e-invoice QR (TLV) and cross-validates it against the printed fields — use it for Saudi tax invoices. Arabic-first accuracy. 5 credits/page (zatca 7).

輸入參數langpresetschemaapi_keyimage_base64必填

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 lang="auto". Returns reading-order layout text (right-to-left aware, paragraph-gapped) that is ready to feed an LLM or show a human, plus the detected language, the engine used, and the number of text blocks found. Provide the image as base64. Use the mode hint (document | receipt | manga | scene) to tune detection.

輸入參數langmodeapi_keyqualityimage_base64必填

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 pack; low-confidence pages escalate to the vision model. Returns text blocks in reading order plus the detected language, the engine used, and whether the page is vertical. Provide the image as base64. Pass lang explicitly (ko/zh/...) for the best non-Japanese result; default "auto" detects it.

輸入參數langapi_keyimage_base64必填

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, alternative phrasings.

輸入參數text必填api_keycontextformalitytarget_lang必填

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, manga, or receipts end-to-end in a single step.

輸入參數api_keytarget_lang必填image_base64必填

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.

輸入參數api_key

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.

輸入參數email

版本歷史

1
  1. v1.0.3最新Sep 16, 2026

評分

已滿足適用檢查項的 100%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
  • 授權條款10 分