Command Palette

Search for a command to run...

UnylyUnyly
Весь каталог

OCR.Space Server

БесплатноНе проверен

MCP server for OCR.space API to extract text from images and PDFs, with tools for file, URL, automatic oversized handling, and language support.

GitHubEmbed

Описание

MCP server for OCR.space API to extract text from images and PDFs, with tools for file, URL, automatic oversized handling, and language support.

README

Pipeline Status Coverage Ruff Python 3.11+ License: MIT

Python MCP server for OCR.space - extract text from images and PDFs using OCR.

Features

  • Six comprehensive tools:

    • ocr_file - Extract text from local images/PDFs
    • ocr_url - Extract text from images/PDFs at URLs
    • ocr_auto - Smart OCR that auto-handles oversized files
    • split_pdf - Split large PDFs into API-compatible chunks
    • list_languages - Show supported OCR languages
    • check_tier_status - Verify API configuration
  • Automatic oversized file handling:

    • PDFs too large? Automatically split by pages, OCR each chunk, join results
    • Images too large? Automatically compress while preserving quality
  • Dual-tier support:

    • Free tier: 1 MB limit, US servers
    • PRO tier: 5 MB limit, EU endpoint for GDPR compliance
  • Full API parameter support:

    • 26+ languages including auto-detection
    • Two OCR engines (optimized for different use cases)
    • Table optimization mode
    • Auto-rotation detection
    • Searchable PDF generation
    • Save results as TXT or JSON

Installation

# With uv (recommended)
uv sync

# With pip
pip install -e .

Configuration

API Keys

Get your free API key at ocr.space/ocrapi/freekey.

For PRO features (larger files, EU endpoint), sign up at ocr.space/ocrapi.

Environment Variables

Copy .envrc.example to .envrc and configure:

# Required: Free tier API key
export OCR_SPACE_API_KEY="your-free-api-key"

# Optional: PRO tier for GDPR-compliant EU processing
export OCR_SPACE_PRO_API_KEY="your-pro-api-key"
export OCR_SPACE_PRO_ENDPOINT="https://eu.api.ocr.space/parse/image"

Then enable with direnv allow.

Claude Code / MCP Config

Add to .mcp.json:

{
  "mcpServers": {
    "ocr-space": {
      "command": "uv",
      "args": ["run", "--project", "/path/to/ocr-space-mcp", "ocr-space-mcp"],
      "env": {
        "OCR_SPACE_API_KEY": "${OCR_SPACE_API_KEY}",
        "OCR_SPACE_PRO_API_KEY": "${OCR_SPACE_PRO_API_KEY}",
        "OCR_SPACE_PRO_ENDPOINT": "${OCR_SPACE_PRO_ENDPOINT}"
      }
    }
  }
}

OpenCode Config

Add to opencode.json:

{
  "mcp": {
    "ocr-space": {
      "command": "uv",
      "args": ["run", "--project", "/path/to/ocr-space-mcp", "ocr-space-mcp"],
      "env": {
        "OCR_SPACE_API_KEY": "${OCR_SPACE_API_KEY}",
        "OCR_SPACE_PRO_API_KEY": "${OCR_SPACE_PRO_API_KEY}",
        "OCR_SPACE_PRO_ENDPOINT": "${OCR_SPACE_PRO_ENDPOINT}"
      }
    }
  }
}

Usage

Check Configuration

Check my OCR.space tier status

OCR a Local File

Extract text from /path/to/document.pdf
OCR this image using the PRO tier: /path/to/scan.png

Parameters:

Parameter Description Default
file_path Path to image/PDF (required) -
tier free or pro free
language OCR language code eng
ocr_engine 1 (fast) or 2 (accurate) 1
output_path Save result to file -
output_format txt or json txt
detect_orientation Auto-rotate image false
scale Upscale low-res images false
is_table Optimize for tables false
is_create_searchable_pdf Generate searchable PDF false

OCR from URL

Extract text from https://example.com/document.png

Smart OCR for Large Files (ocr_auto)

The ocr_auto tool automatically handles files that exceed the API size limits:

OCR this large document: /path/to/big-scan.pdf

How it works:

  • PDFs: Splits into chunks by page, OCRs each chunk, joins results
  • Images: Compresses (quality + resize) until under limit, then OCRs

Parameters: Same as ocr_file, but no size limit errors!

Split PDF Only

If you just want to split a large PDF without OCR:

Split /path/to/large.pdf for free tier processing

Creates multiple smaller PDF files in a temp directory (or specify output_dir).

List Languages

What OCR languages are supported?

Supported languages: Arabic, Bulgarian, Chinese (Simplified/Traditional), Croatian, Czech, Danish, Dutch, English, Finnish, French, German, Greek, Hungarian, Italian, Japanese, Korean, Polish, Portuguese, Russian, Slovenian, Spanish, Swedish, Thai, Turkish, Ukrainian, Vietnamese.

Use language=auto with Engine 2 for automatic language detection.

Tier Comparison

Feature Free PRO
File size limit 1 MB 5 MB
Server location US only EU available
Rate limit 500/day Unlimited
GDPR compliance No Yes (EU endpoint)
Price Free $30/month

OCR Engines

Engine Best For
Engine 1 Faster processing, Asian languages, large images
Engine 2 Auto-language detection, special characters, rotated text

Development

# Install with dev dependencies
uv sync --extra dev

# Run linter
uv run ruff check .

# Format code
uv run ruff format .

# Run tests
uv run pytest -v

# Run tests with coverage
uv run pytest --cov=ocr_space_mcp --cov-report=term-missing

License

MIT - see LICENSE

Links

from github.com/agentic-ai-forge/ocr-space-mcp

Установка OCR.Space Server

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

▸ github.com/agentic-ai-forge/ocr-space-mcp

FAQ

OCR.Space Server MCP бесплатный?

Да, OCR.Space Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для OCR.Space Server?

Нет, OCR.Space Server работает без API-ключей и переменных окружения.

OCR.Space Server — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить OCR.Space Server в Claude Desktop, Claude Code или Cursor?

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

Похожие MCP

Compare OCR.Space Server with

Не уверен что выбрать?

Найди свой стек за 60 секунд

Автор?

Embed-бейдж для README

Похожее

Все в категории development