Lingarr

Lingarr

Subtitle translation app with local and SaaS translation services.

678stars
38forks
Last commit: 1d ago
Repo age: 3y old

Lingarr is a subtitle translation application that combines multiple translation services to automatically translate subtitle files to a target language. It supports LibreTranslate, local AI, and cloud providers like DeepL, Anthropic, OpenAI, and more, and can run as a local or SaaS deployment with a RESTful API for integration. (github.com)

Key Features

  • Supports multiple translation services including LibreTranslate, Local AI, DeepL, Anthropic, OpenAI, DeepSeek, Gemini, Google, Bing, Yandex and Azure. (github.com)
  • Local and SaaS deployment options with Docker Compose and Docker runtime support. (github.com)
  • Multi-architecture Docker images (amd64 and arm64) with deployment flexibility. (github.com)
  • Exposes a RESTful API for integration into other apps. (github.com)
  • Explicit setup guidance for running Lingarr via Docker and Docker Compose. (github.com)

Use Cases

  • Self-hosted media libraries: deploy Lingarr with Docker Compose to automatically translate and apply subtitles for movies and TV shows. (github.com)
  • Flexible translation workflows: choose from LibreTranslate, OpenAI, DeepL, or other providers to match cost, latency, and quality needs. (github.com)
  • API-driven integrations: use the RESTful API to incorporate Lingarr subtitle translation into custom media workflows or apps. (github.com)

Limitations and Considerations

  • Lingarr supports a variety of translation providers, which may have different terms of service, pricing, and data handling. (Implemented via the multi-provider approach described in the README.) (github.com)

Conclusion

Lingarr provides a flexible, multi-provider subtitle translation solution that can run locally or as a SaaS service, with a RESTful API for programmatic control. Its Docker-based deployment and broad provider support make it adaptable to diverse translation needs in media workflows. (github.com)

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