folder2md4llms


Namefolder2md4llms JSON
Version 0.5.0 PyPI version JSON
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home_pageNone
SummaryA tool to convert folder structures and file contents into markdown for LLMs
upload_time2025-07-25 10:45:20
maintainerNone
docs_urlNone
authorNone
requires_python>=3.11
licenseMIT
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            # folder2md4llms

[![Tests](https://github.com/henriqueslab/folder2md4llms/actions/workflows/test.yml/badge.svg)](https://github.com/henriqueslab/folder2md4llms/actions/workflows/test.yml)
[![Release](https://github.com/henriqueslab/folder2md4llms/actions/workflows/release.yml/badge.svg)](https://github.com/henriqueslab/folder2md4llms/actions/workflows/release.yml)
[![PyPI version](https://img.shields.io/pypi/v/folder2md4llms.svg)](https://pypi.org/project/folder2md4llms/)
[![Python 3.11+](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Downloads](https://img.shields.io/pypi/dm/folder2md4llms.svg)](https://pypi.org/project/folder2md4llms/)

`folder2md4llms` is a powerful and flexible tool that converts a repository's contents into a single, LLM-friendly Markdown file. It's designed to be fast, configurable, and easy to use, with a focus on producing high-quality, structured output.

## ✨ Key Features

- **Smart Condensing**: Automatically condenses code to fit within a specified token or character limit without crude truncation.
- **Document Conversion**: Converts PDF, DOCX, XLSX, and other document formats into text.
- **Binary File Analysis**: Provides intelligent descriptions for images, archives, and other binary files.
- **Highly Configurable**: Use a `folder2md.yaml` file or command-line options to customize the output.
- **Fast and Efficient**: Leverages multi-threading and efficient file processing to handle large repositories quickly.
- **Advanced Filtering**: Uses `.gitignore`-style patterns to exclude files and directories.

## 🚀 Quick Start

### Installation

Choose between binary (standalone) or Python package installation:

#### 🚀 Binary Installation (Recommended)
**No Python required - fastest startup, single executable**

**macOS (Homebrew):**
```bash
# Add the tap first
brew tap henriqueslab/tap

# Binary version (cask) - recommended
brew install --cask folder2md4llms-binary
```

**Windows (Scoop):**
```bash
# Add the bucket
scoop bucket add folder2md4llms https://github.com/HenriquesLab/scoop-folder2md4llms

# Binary version - recommended
scoop install folder2md4llms-binary
```

**Manual Binary Installation:**
1. Download the appropriate binary from [GitHub Releases](https://github.com/henriqueslab/folder2md4llms/releases/latest):
   - **macOS**: `folder2md-macos-x64` (Intel) or `folder2md-macos-arm64` (Apple Silicon)
   - **Windows**: `folder2md-windows-x64.exe`
   - **Linux**: Coming soon
2. Make executable (macOS/Linux): `chmod +x folder2md-*`
3. Move to PATH:
   - **macOS/Linux**: `sudo mv folder2md-* /usr/local/bin/folder2md`
   - **Windows**: Place `folder2md-windows-x64.exe` in a directory in your PATH

#### 🐍 Python Package Installation
**Requires Python 3.11+ - integrates with Python environment**

```bash
# Using uv (recommended)
uv add folder2md4llms

# Using pip
pip install folder2md4llms
```

#### Binary vs Python Package

| Feature | Binary | Python Package |
|---------|---------|----------------|
| **Python Required** | ❌ No | ✅ Yes (3.11+) |
| **Startup Time** | ⚡ Fast | 🐌 Slower |
| **File Size** | 📦 ~50MB | 📦 ~10MB |
| **Dependencies** | ✅ Self-contained | ⚠️ May conflict |
| **Updates** | 🔄 Manual/Package Manager | 🔄 pip/uv |
| **Use Case** | General users, CI/CD | Python developers |

### Basic Usage

```bash
# Process the current directory and save to output.md
folder2md .

# Process a specific directory and set a token limit
folder2md /path/to/repo --limit 80000t

# Copy the output to the clipboard
folder2md /path/to/repo --clipboard

# Generate a .folder2md_ignore file
folder2md --init-ignore
```

For a full list of commands and options, see the [CLI Reference](docs/api.md) or run `folder2md --help`.

> **Note**: The package name is `folder2md4llms` but the command is `folder2md` for convenience.

## 🔧 Configuration

You can configure `folder2md4llms` by creating a `folder2md.yaml` file in your repository's root directory. This allows you to set advanced options and define custom behavior.

For more details, see the [Configuration Guide](docs/api.md#configuration).

## 🛠️ Development

Interested in contributing? Get started with these simple steps:

```bash
# Clone the repository
git clone https://github.com/henriqueslab/folder2md4llms.git
cd folder2md4llms

# Set up the development environment
make setup

# See all available commands
make help
```

## 🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For more information, see the [Contributing Guidelines](CONTRIBUTING.md).

## 📖 Documentation

- **[CLI Reference](docs/api.md)** - Complete command-line reference
- **[Contributing Guidelines](CONTRIBUTING.md)** - How to contribute to the project
- **[Changelog](CHANGELOG.md)** - Version history and changes

## 📦 Distribution Channels

- **PyPI**: [folder2md4llms](https://pypi.org/project/folder2md4llms/) - Python package
- **Homebrew**: [henriqueslab/tap](https://github.com/HenriquesLab/homebrew-folder2md4llms) - macOS binary
- **Scoop**: [HenriquesLab bucket](https://github.com/HenriquesLab/scoop-folder2md4llms) - Windows binary

## 📄 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

            

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    "description": "# folder2md4llms\n\n[![Tests](https://github.com/henriqueslab/folder2md4llms/actions/workflows/test.yml/badge.svg)](https://github.com/henriqueslab/folder2md4llms/actions/workflows/test.yml)\n[![Release](https://github.com/henriqueslab/folder2md4llms/actions/workflows/release.yml/badge.svg)](https://github.com/henriqueslab/folder2md4llms/actions/workflows/release.yml)\n[![PyPI version](https://img.shields.io/pypi/v/folder2md4llms.svg)](https://pypi.org/project/folder2md4llms/)\n[![Python 3.11+](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/downloads/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Downloads](https://img.shields.io/pypi/dm/folder2md4llms.svg)](https://pypi.org/project/folder2md4llms/)\n\n`folder2md4llms` is a powerful and flexible tool that converts a repository's contents into a single, LLM-friendly Markdown file. It's designed to be fast, configurable, and easy to use, with a focus on producing high-quality, structured output.\n\n## \u2728 Key Features\n\n- **Smart Condensing**: Automatically condenses code to fit within a specified token or character limit without crude truncation.\n- **Document Conversion**: Converts PDF, DOCX, XLSX, and other document formats into text.\n- **Binary File Analysis**: Provides intelligent descriptions for images, archives, and other binary files.\n- **Highly Configurable**: Use a `folder2md.yaml` file or command-line options to customize the output.\n- **Fast and Efficient**: Leverages multi-threading and efficient file processing to handle large repositories quickly.\n- **Advanced Filtering**: Uses `.gitignore`-style patterns to exclude files and directories.\n\n## \ud83d\ude80 Quick Start\n\n### Installation\n\nChoose between binary (standalone) or Python package installation:\n\n#### \ud83d\ude80 Binary Installation (Recommended)\n**No Python required - fastest startup, single executable**\n\n**macOS (Homebrew):**\n```bash\n# Add the tap first\nbrew tap henriqueslab/tap\n\n# Binary version (cask) - recommended\nbrew install --cask folder2md4llms-binary\n```\n\n**Windows (Scoop):**\n```bash\n# Add the bucket\nscoop bucket add folder2md4llms https://github.com/HenriquesLab/scoop-folder2md4llms\n\n# Binary version - recommended\nscoop install folder2md4llms-binary\n```\n\n**Manual Binary Installation:**\n1. Download the appropriate binary from [GitHub Releases](https://github.com/henriqueslab/folder2md4llms/releases/latest):\n   - **macOS**: `folder2md-macos-x64` (Intel) or `folder2md-macos-arm64` (Apple Silicon)\n   - **Windows**: `folder2md-windows-x64.exe`\n   - **Linux**: Coming soon\n2. Make executable (macOS/Linux): `chmod +x folder2md-*`\n3. Move to PATH:\n   - **macOS/Linux**: `sudo mv folder2md-* /usr/local/bin/folder2md`\n   - **Windows**: Place `folder2md-windows-x64.exe` in a directory in your PATH\n\n#### \ud83d\udc0d Python Package Installation\n**Requires Python 3.11+ - integrates with Python environment**\n\n```bash\n# Using uv (recommended)\nuv add folder2md4llms\n\n# Using pip\npip install folder2md4llms\n```\n\n#### Binary vs Python Package\n\n| Feature | Binary | Python Package |\n|---------|---------|----------------|\n| **Python Required** | \u274c No | \u2705 Yes (3.11+) |\n| **Startup Time** | \u26a1 Fast | \ud83d\udc0c Slower |\n| **File Size** | \ud83d\udce6 ~50MB | \ud83d\udce6 ~10MB |\n| **Dependencies** | \u2705 Self-contained | \u26a0\ufe0f May conflict |\n| **Updates** | \ud83d\udd04 Manual/Package Manager | \ud83d\udd04 pip/uv |\n| **Use Case** | General users, CI/CD | Python developers |\n\n### Basic Usage\n\n```bash\n# Process the current directory and save to output.md\nfolder2md .\n\n# Process a specific directory and set a token limit\nfolder2md /path/to/repo --limit 80000t\n\n# Copy the output to the clipboard\nfolder2md /path/to/repo --clipboard\n\n# Generate a .folder2md_ignore file\nfolder2md --init-ignore\n```\n\nFor a full list of commands and options, see the [CLI Reference](docs/api.md) or run `folder2md --help`.\n\n> **Note**: The package name is `folder2md4llms` but the command is `folder2md` for convenience.\n\n## \ud83d\udd27 Configuration\n\nYou can configure `folder2md4llms` by creating a `folder2md.yaml` file in your repository's root directory. This allows you to set advanced options and define custom behavior.\n\nFor more details, see the [Configuration Guide](docs/api.md#configuration).\n\n## \ud83d\udee0\ufe0f Development\n\nInterested in contributing? Get started with these simple steps:\n\n```bash\n# Clone the repository\ngit clone https://github.com/henriqueslab/folder2md4llms.git\ncd folder2md4llms\n\n# Set up the development environment\nmake setup\n\n# See all available commands\nmake help\n```\n\n## \ud83e\udd1d Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request. 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