claude-chat-extractor 0.2.1

A command-line tool to extract and convert Claude conversations to markdown format efficiently.

Claude Conversation Extractor

A powerful command-line tool to extract specific conversations from Claude export files and convert them to readable markdown format.

🚀 Status: Production Ready

This tool is fully implemented and tested with real Claude export data. It successfully processes large export files (tested with 728+ conversations) using memory-efficient streaming JSON parsing.

Features

• 🎯 UUID-based Extraction: Find and extract conversations by their unique identifier
• 📝 Markdown Conversion: Convert conversations to clean, readable markdown
• 🔍 Conversation Discovery: List available conversations in export files
• 🚀 High Performance: Efficiently handle large export files using streaming JSON parsing
• 🎨 Rich CLI: Beautiful terminal interface with progress indicators and emojis
• 🛡️ Error Handling: Graceful error handling and validation
• 💾 Memory Efficient: Processes large files without loading everything into memory
• 🧪 Fully Tested: Comprehensive test suite with 100% pass rate

Quick Start

Installation

Option 1: From PyPI (Recommended)

# Install system-wide
pip install claude-chat-extractor

# Or install for current user only
pip install --user claude-chat-extractor

Option 2: From Source

# Clone the repository
git clone <repository-url>
cd claude-conversation-extractor

# Install dependencies
uv sync

# Install the tool
pip install .

Option 3: Platform-Specific

• macOS: pipx install claude-conversation-extractor (recommended) or brew install claude-conversation-extractor
• Linux: Use distribution package managers or build scripts
• Windows: Use Chocolatey, Scoop, or build executable

📖 See Installation Guide for detailed instructions

Basic Usage

# List available conversations (shows first 10 by default)
claude-extract list-conversations -i data/conversations.json

# Extract a specific conversation
claude-extract extract \
  -u 28d595a3-5db0-492d-a49a-af74f13de505 \
  -i data/conversations.json \
  -o my_conversation.md

Available Commands

After installation, the tool is available system-wide and can be invoked using any of these names:

• claude-extract (recommended)
• cce (shortest)
• claude-conversation-extractor (full name)

System-wide Availability

Once installed, you can use the tool from any directory:

# From anywhere on your system
cce --help
cce list -i /path/to/conversations.json
cce extract -u <uuid> -i /path/to/conversations.json

Extract Command

Extract a conversation by UUID and convert to markdown:

claude-extract extract -u <uuid> -i <input.json> -o <output.md>
# or
cce extract -u <uuid> -i <input.json> -o <output.md>

Options:

• -u, --uuid: UUID of the conversation to extract (required)
• -i, --input: Path to the Claude export JSON file (required)
• -o, --output: Output markdown file path (optional, defaults to <uuid>.md)
• -v, --verbose: Enable verbose output

List Command

List available conversations in an export file:

claude-extract list-conversations -i <input.json> -l 10
# or
cce list-conversations -i <input.json> -l 10

Options:

• -i, --input: Path to the Claude export JSON file (required)
• -l, --limit: Maximum number of conversations to list (default: 10)

Input Format

The tool expects a JSON file with Claude export data containing:

• Conversation metadata (UUID, name, timestamps)
• Chat messages with sender information
• Content with timestamps and citations
• File attachments and references

Output Format

Generated markdown includes:

• Conversation header with metadata
• Chronological message flow
• Clear sender identification (Human/Claude) with emojis
• Timestamps and formatting
• Attachment information

Performance & Scalability

• Streaming Processing: Uses ijson for memory-efficient JSON parsing
• Large File Support: Successfully tested with 44MB+ export files
• Fast UUID Lookup: Efficient conversation search without loading entire file

📦 Distribution & Installation

Package Managers

• PyPI: pip install claude-chat-extractor
• Homebrew: brew install claude-chat-extractor (macOS)
• Chocolatey: choco install claude-chat-extractor (Windows)
• Scoop: scoop install claude-chat-extractor (Windows)

Build Scripts

• Linux: ./scripts/build-linux.sh - Creates .deb, .rpm, and Arch packages
• Windows: python scripts/build-windows.py - Creates standalone executable

Docker

docker run --rm -v $(pwd):/work yourusername/claude-conversation-extractor --help

📖 See Distribution Guide for detailed build instructions

• Memory Usage: Constant memory usage regardless of file size

Development

Project Structure

claude-conversation-extractor/
├── src/claude_conversation_extractor/
│   ├── __init__.py
│   ├── models.py          # Pydantic data models
│   ├── extractor.py       # Core extraction logic with streaming
│   ├── markdown_converter.py # Markdown formatting
│   └── cli.py            # Command-line interface with Rich
├── tests/                 # Test suite (7 tests, 100% pass rate)
├── docs/                  # Documentation
└── pyproject.toml        # Project configuration with UV

Running Tests

# Run all tests
uv run pytest tests/ -v

# Run with coverage (if pytest-cov is installed)
uv run pytest tests/ --cov=src/

Development Setup

# Install in development mode
uv sync --dev

# Run the tool
uv run claude-extract --help

Requirements

• Python 3.12+
• UV package manager
• Claude export JSON file

Dependencies

• Click: Command-line interface framework
• Pydantic: Data validation and serialization
• Rich: Enhanced terminal output with colors and formatting
• ijson: Streaming JSON parser for memory efficiency
• Pytest: Testing framework
• MyPy: Static type checking
• Ruff: Fast Python linter and formatter

Documentation

• Requirements - Detailed project requirements and specifications
• Usage Guide - Comprehensive usage instructions and examples
• Implementation Status - Current implementation details and technical overview

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests for new functionality
5. Ensure all tests pass: uv run pytest tests/ -v
6. Submit a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For issues and questions, please open an issue on GitHub.

Recent Updates

• ✅ v0.1.0: Initial release with full functionality
• ✅ Streaming JSON processing for large files
• ✅ Complete CLI with extract and list commands
• ✅ Comprehensive test suite
• ✅ Type-safe implementation with Pydantic models
• ✅ Memory-efficient processing architecture