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The MKV Episode Matcher is a tool for identifying TV series episodes from MKV files and renaming the files accordingly.

Project description

MKV Episode Matcher

Documentation Status PyPI version License: MIT

Automatically match and rename your MKV TV episodes using The Movie Database (TMDb).

Features

  • 🎯 Automatic Episode Matching: Uses TMDb to accurately identify episodes
  • 📝 Subtitle Extraction: Extracts subtitles from MKV files
  • 🔍 OCR Support: Handles image-based subtitles
  • 🚀 Multi-threaded: Fast processing of multiple files
  • ⬇️ Subtitle Downloads: Integration with OpenSubtitles
  • Bulk Processing: Handle entire seasons at once
  • 🧪 Dry Run Mode: Test changes before applying

Quick Start

  1. Install the package:
pip install mkv-episode-matcher
  1. Run on your show directory:
mkv-match --show-dir "path/to/your/show" --season 1

Requirements

  • Python 3.8 or higher
  • TMDb API key
  • OpenSubtitles account (optional, for subtitle downloads)

Documentation

Full documentation is available at https://jsakkos.github.io/mkv-episode-matcher/

Basic Usage

from mkv_episode_matcher import process_show

# Process all seasons
process_show()

# Process specific season
process_show(season=1)

# Test run without making changes
process_show(season=1, dry_run=True)

# Process and download subtitles
process_show(get_subs=True)

Directory Structure

MKV Episode Matcher expects your TV shows to be organized as follows:

Show Name/
├── Season 1/
│   ├── episode1.mkv
│   ├── episode2.mkv
├── Season 2/
│   ├── episode1.mkv
│   └── episode2.mkv

Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Acknowledgments

  • TMDb for their excellent API
  • OpenSubtitles for subtitle integration
  • All contributors who have helped improve this project

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