markitai

io.github.Ynewtime由 GitHub 帳號 Ynewtime 發布v2.3.2更新於 Oct 29, 2026

Convert documents, images and web pages to clean Markdown, for agents: single, URL and batch tools.

概覽

AI 產生的概覽

Markitai 將文件、圖片和網頁轉換成乾淨的 Markdown,為助理提供單一檔案、URL 和批次轉換工具。

可以做什麼
  • 將單一文件、圖片或網頁轉換為 Markdown
  • 從 URL 轉換,需要網路存取
  • 批次轉換整個資料夾並產生報告
  • 對掃描圖片執行本機 OCR,可選用模型增強
適用情境
適合需要把 Office 檔案、PDF、掃描件或網頁中的內容以 Markdown 形式讀取或再利用的情境,也包含一次轉換大量檔案以便後續索引或編輯。
執行需求
以本機 stdio 程序執行,可透過 uvx 從 PyPI 套件 markitai 啟動(需 Python 3.10+),或使用獨立 CLI 安裝腳本。選用元件:OCR 模型、用於 JavaScript 頁面的 Chrome/Chromium、用於 Office 頁面圖像的 LibreOffice。URL 輸入需要網路存取。MARKITAI_HOME 指定設定、快取和模型目錄;MODEL 搭配對應的服務商 API 金鑰可啟用 LLM 增強。
安裝前請注意
一般轉換不需要模型連線,但 LLM 增強會用設定的憑證把內容傳送給服務商。URL 輸入會抓取遠端頁面,內容會離開本機。轉換會將輸出檔案寫入指定目錄,批次執行可能覆寫既有結果。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 markitai,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。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Markitai

Markitai converts documents, web pages and images to Markdown. A single Rust core powers the markitai command (alias mkai), a local REST service with a browser workspace, an MCP server, and in-process Node.js, Python and Go bindings. The CLI executable needs no Python, Node.js or Go runtime; language bindings need their respective language runtime.

Markitai 2.0 is the Rust rewrite of Python markitai 1.2. See the changelog and compatibility contracts.

Install

macOS and Linux:

sh
curl -fsSL https://markitai.dev/setup.sh | sh

Windows (PowerShell):

powershell
powershell -ExecutionPolicy ByPass -c "irm https://markitai.dev/setup.ps1 | iex"

The setup scripts download the release archive for your machine from GitHub Releases, check it against the release's SHA256SUMS, and install markitai, mkai and markitai-mcp for the current user, without administrator rights. Releases cover macOS 11+ (Apple silicon, Intel), Linux with glibc 2.28+ (x86-64, ARM64) and Windows (x64, ARM64). Python users can instead run pip install markitai or uv tool install markitai (Python 3.10+). PyPI has wheels for these six platforms only and no 1.x any more: elsewhere pip has nothing to install and leaves an installed 1.x as it is. Manual downloads, updates, uninstalling and going back to 1.x are in the installation steps.

The archives include license notices and selected Markdown guides for offline use. OCR models, Chromium and LibreOffice are optional separate components. See platform support for requirements, unsigned macOS builds for Gatekeeper, and bindings for language packages.

Quick start

sh
markitai report.docx -o out/                  # writes out/report.docx.mdmarkitai ./documents -o out/                  # whole folder, with a reportmarkitai scan.png --ocr -o out/               # local OCR; models may need preparationmarkitai report.docx -o out/ --json           # structured result for automationmarkitai doctor                              # inspect optional componentsmarkitai --help                              # commands, options and examplesmarkitai serve                               # browser workspace on 127.0.0.1:3600

For a separate trial state, set MARKITAI_HOME before using the CLI: export MARKITAI_HOME="$PWD/.local/try-home". Plain document conversion does not need a model connection. Existing configuration still applies; use --no-llm -b native for local document processing without model enhancement. URL inputs still need the network, even with --no-remote-fetch. Local OCR uses the portable Paddle engine on every platform (macOS Vision with MARKITAI_OCR_BACKEND=vision); doctor --fix can prepare missing Paddle models before offline use. JavaScript pages need Chrome/Chromium; Office page images need LibreOffice. Model enhancement (--llm) uses configured provider credentials or a subscription runtime.

Documentation

  • Quick start: installation and the first ten tasks.
  • CLI and MCP: command and Agent contracts.
  • Agent index and standalone Agent guide: plain Markdown entry points, also included in CLI archives.
  • Documentation index: the full source-checkout documentation. The offline archive contains selected guides; other topic links require this repository checkout.

License

MIT; see LICENSE and NOTICE.

來源:README.md,提交 ef72fdc

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

7
  1. v2.3.2最新Oct 29, 2026
  2. v2.3.0Oct 26, 2026
  3. v2.2.0Oct 26, 2026
  4. v2.1.0Oct 25, 2026
  5. v2.0.0Oct 24, 2026
  6. v1.2.0Sep 28, 2026
  7. v1.1.0Sep 16, 2026

評分

已滿足適用檢查項的 50%

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25 分

    請保持端點能夠回應 MCP 握手;SourceWeft 每 30 天探測一次。

  • 已宣告認證方式10 分

    請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。

  • 已列出工具15 分

    請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。

  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
  • 授權條款10 分