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Browser Ocr

БесплатноНе проверен

Extracts text from images and browser screenshots locally using Tesseract.js, without sending image data to the LLM.

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Описание

Extracts text from images and browser screenshots locally using Tesseract.js, without sending image data to the LLM.

README

MCP server for local OCR via Tesseract.js. Extract text from images and browser screenshots without sending image data to the LLM.

Why

When browsing with Playwright MCP, you often encounter pages where text is embedded in images. Normally you'd send the screenshot to the LLM — slow, bandwidth-heavy. This server runs Tesseract.js locally so the image never leaves your machine.

Tools

ocr_image

Extract text from an image file or URL. Zero browser setup required.

Input:

  • path (string, optional) — Absolute path to a local image file
  • url (string, optional) — HTTP URL to download the image from

Output:

{
  "text": "The quick brown fox jumps over the lazy dog",
  "confidence": 85,
  "wordCount": 9
}

Typical workflow with Playwright MCP:

1. browser_take_screenshot({ filename: "page.png" })
2. ocr_image({ path: "/home/user/page.png" })
3. → text returned, zero image data sent to LLM

browser_ocr

Take a screenshot of the current browser page via CDP and OCR it — all in one call. Requires a shared Chromium instance.

Input:

  • fullPage (boolean, optional) — Capture full scrollable page. Default: false

Setup (one-time):

# Terminal 1: Launch Chromium with debugging port
chromium --remote-debugging-port=9222

# Terminal 2: Start Playwright MCP connected to it
npx @playwright/mcp --cdp-endpoint http://localhost:9222

# Terminal 3: Start OCR MCP server
node server.js --cdp-endpoint http://localhost:9222

Install

git clone https://github.com/Ismapik/browser-ocr-mcp.git
cd browser-ocr-mcp
npm install

The first time you run OCR, Tesseract.js downloads English language data (~12 MB). Subsequent runs use the cached data.

MCP Client Config

Add to your MCP client configuration (e.g., mcp.json or Claude Desktop config):

{
  "mcpServers": {
    "browser-ocr": {
      "command": "node",
      "args": ["/path/to/browser-ocr-mcp/server.js"],
      "env": {
        "CDP_ENDPOINT": "http://localhost:9222"
      }
    }
  }
}

The CDP_ENDPOINT env var is only needed if you use the browser_ocr tool. The ocr_image tool works without it.

Test

npm test

Runs a test suite that:

  1. Starts the MCP server
  2. Calls ocr_image on a sample image
  3. Verifies text extraction, confidence, and word count
  4. Tests error handling for missing/invalid inputs

Requirements

  • Node.js ≥ 18
  • Chromium (only for browser_ocr tool)
  • playwright-core (optional, only for browser_ocr)

License

MIT

from github.com/Ismapik/browser-ocr-mcp

Установка Browser Ocr

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/Ismapik/browser-ocr-mcp

FAQ

Browser Ocr MCP бесплатный?

Да, Browser Ocr MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Browser Ocr?

Нет, Browser Ocr работает без API-ключей и переменных окружения.

Browser Ocr — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Browser Ocr в Claude Desktop, Claude Code или Cursor?

Открой Browser Ocr на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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