OCR.Space Server
БесплатноНе проверенMCP server for OCR.space API to extract text from images and PDFs, with tools for file, URL, automatic oversized handling, and language support.
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/PDFsocr_url- Extract text from images/PDFs at URLsocr_auto- Smart OCR that auto-handles oversized filessplit_pdf- Split large PDFs into API-compatible chunkslist_languages- Show supported OCR languagescheck_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
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-mcpFAQ
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.
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