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\n\n

MarkPDFDown

\n\n[![Size]][hub_url]\n[![Pulls]][hub_url]\n[![Tag]][tag_url]\n[![License]][license_url]\n

A powerful tool that leverages multimodal large language models to transcribe PDF files into Markdown format.

\n\n![markpdfdown](https://raw.githubusercontent.com/markpdfdown/markpdfdown/refs/heads/master/tests/markpdfdown.png)\n\n

\n\n## Overview\n\nMarkPDFDown is designed to simplify the process of converting PDF documents into clean, editable Markdown text. By utilizing advanced multimodal AI models through LiteLLM, it can accurately extract text, preserve formatting, and handle complex document structures including tables, formulas, and diagrams.\n\n## Features\n\n- **PDF to Markdown Conversion**: Transform any PDF document into well-formatted Markdown\n- **Image to Markdown Conversion**: Transform image into well-formatted Markdown\n- **Multi-Provider Support**: Supports OpenAI and OpenRouter through LiteLLM\n- **Flexible CLI**: Both file-based and pipe-based usage modes\n- **Format Preservation**: Maintains headings, lists, tables, and other formatting elements\n- **Page Range Selection**: Convert specific page ranges from PDF documents\n- **Modular Architecture**: Clean, maintainable codebase with separation of concerns\n\n## Demo\n![](https://raw.githubusercontent.com/markpdfdown/markpdfdown/refs/heads/master/tests/demo_02.png)\n\n## Installation\n\n### Using uv (Recommended)\n\n```bash\n# Install uv if you haven't already\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n\n# Clone the repository\ngit clone https://github.com/MarkPDFdown/markpdfdown.git\ncd markpdfdown\n\n# Install dependencies and create virtual environment\nuv sync\n\n# Install the package in development mode\nuv pip install -e .\n```\n\n### Using conda\n\n```bash\nconda create -n markpdfdown python=3.9\nconda activate markpdfdown\n\n# Clone the repository\ngit clone https://github.com/MarkPDFdown/markpdfdown.git\ncd markpdfdown\n\n# Install dependencies\npip install -e .\n```\n\n## Configuration\n\nMarkPDFDown uses environment variables for configuration. Create a `.env` file in your project directory:\n\n```bash\n# Copy the sample configuration\ncp .env.sample .env\n```\n\nEdit the `.env` file with your settings:\n\n```bash\n# Model Configuration\nMODEL_NAME=gpt-4o\n\n# API Keys (LiteLLM automatically detects these)\nOPENAI_API_KEY=your-openai-api-key\n# or for OpenRouter\nOPENROUTER_API_KEY=your-openrouter-api-key\n\n# Optional Parameters\nTEMPERATURE=0.3\nMAX_TOKENS=8192\nRETRY_TIMES=3\n```\n\n### Supported Models\n\n#### OpenAI Models\n```bash\nMODEL_NAME=gpt-4o\nMODEL_NAME=gpt-4o-mini\nMODEL_NAME=gpt-4-vision-preview\n```\n\n#### OpenRouter Models\n```bash\nMODEL_NAME=openrouter/anthropic/claude-3.5-sonnet\nMODEL_NAME=openrouter/google/gemini-pro-vision\nMODEL_NAME=openrouter/meta-llama/llama-3.2-90b-vision\n```\n\n## Usage\n\n### File Mode (Recommended)\n\n```bash\n# Basic conversion\nmarkpdfdown --input document.pdf --output output.md\n\n# Convert specific page range\nmarkpdfdown --input document.pdf --output output.md --start 1 --end 10\n\n# Convert image to markdown\nmarkpdfdown --input image.png --output output.md\n\n# Using python module\npython -m markpdfdown --input document.pdf --output output.md\n```\n\n### Pipe Mode (Docker-friendly)\n\n```bash\n# PDF to markdown via pipe\nmarkpdfdown < document.pdf > output.md\n\n# Using python module\npython -m markpdfdown < document.pdf > output.md\n```\n\n### Advanced Usage\n\n```bash\n# Convert pages 5-15 of a PDF\nmarkpdfdown --input large_document.pdf --output chapter.md --start 5 --end 15\n\n# Process multiple files\nfor file in *.pdf; do\n markpdfdown --input \"$file\" --output \"${file%.pdf}.md\"\ndone\n```\n\n## Docker Usage\n\n```bash\n# Build the image (if needed)\ndocker build -t markpdfdown .\n\n# Run with environment variables\ndocker run -i \\\n -e MODEL_NAME=gpt-4o \\\n -e OPENAI_API_KEY=your-api-key \\\n markpdfdown < input.pdf > output.md\n\n# Using OpenRouter\ndocker run -i \\\n -e MODEL_NAME=openrouter/anthropic/claude-3.5-sonnet \\\n -e OPENROUTER_API_KEY=your-openrouter-key \\\n markpdfdown < input.pdf > output.md\n```\n\n## Development Setup\n\n### Code Quality Tools\n\nThis project uses `ruff` for linting and formatting, and `pre-commit` for automated code quality checks.\n\n#### Install development dependencies\n\n```bash\n# If using uv\nuv sync --group dev\n\n# If using pip\npip install -e \".[dev]\"\n```\n\n#### Set up pre-commit hooks\n\n```bash\n# Install pre-commit hooks\npre-commit install\n\n# Run pre-commit on all files (optional)\npre-commit run --all-files\n```\n\n#### Code formatting and linting\n\n```bash\n# Format code with ruff\nruff format\n\n# Run linting checks\nruff check\n\n# Fix auto-fixable issues\nruff check --fix\n```\n\n## Requirements\n- Python 3.9+\n- [uv](https://astral.sh/uv/) (recommended for package management) or conda/pip\n- Dependencies specified in `pyproject.toml`\n- Access to supported LLM providers (OpenAI or OpenRouter)\n\n## Architecture\n\nThe project follows a modular architecture:\n\n```\nsrc/markpdfdown/\n├── __init__.py # Package initialization\n├── __main__.py # Entry point for python -m\n├── cli.py # Command line interface\n├── main.py # Core conversion logic\n├── config.py # Configuration management\n└── core/ # Core modules\n ├── llm_client.py # LiteLLM integration\n ├── file_worker.py # File processing\n └── utils.py # Utility functions\n```\n\n## Contributing\nContributions are welcome! Please feel free to submit a Pull Request.\n\n1. Fork the repository\n2. Create your feature branch ( `git checkout -b feature/amazing-feature` )\n3. Set up the development environment:\n ```bash\n uv sync --group dev\n pre-commit install\n ```\n4. Make your changes and ensure code quality:\n ```bash\n ruff format\n ruff check --fix\n pre-commit run --all-files\n ```\n5. Commit your changes ( `git commit -m 'feat: Add some amazing feature'` )\n6. Push to the branch ( `git push origin feature/amazing-feature` )\n7. Open a Pull Request\n\nPlease ensure your code follows the project's coding standards by running the linting and formatting tools before submitting.\n\n## License\nThis project is licensed under the Apache License 2.0. See the LICENSE file for details.\n\n## Acknowledgments\n- Thanks to the developers of LiteLLM for providing unified LLM access\n- Thanks to the developers of the multimodal AI models that power this tool\n- Inspired by the need for better PDF to Markdown conversion tools\n\n[hub_url]: https://hub.docker.com/r/jorbenzhu/markpdfdown/\n[tag_url]: https://github.com/markpdfdown/markpdfdown/releases\n[license_url]: https://github.com/markpdfdown/markpdfdown/blob/main/LICENSE\n\n[Size]: https://img.shields.io/docker/image-size/jorbenzhu/markpdfdown/latest?color=066da5&label=size\n[Pulls]: https://img.shields.io/docker/pulls/jorbenzhu/markpdfdown.svg?style=flat&label=pulls&logo=docker\n[Tag]: https://img.shields.io/github/release/markpdfdown/markpdfdown.svg\n[License]: 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