Lingarr
When international movies and series arrive in a Radarr or Sonarr library without native-language captions, Lingarr automatically translates subtitle files across dozens of languages using local AI models or cloud translation engines. Connect your existing movie and television directories to scan media folders, identify missing target-language subtitles, and generate translated caption files alongside the original video streams. Administrators can configure an ordered chain of 13 translation backends, pairing a primary engine such as OpenAI, Anthropic, Gemini, DeepSeek, Mistral, xAI, or DeepL with automatic fallback to self-hosted LibreTranslate or local Ollama models whenever rate limits occur. Context-aware prompt templates inject preceding and following dialogue lines into each AI request so idioms, speaker tone, and timing remain natural across scene transitions, while batch translation mode processes multi-line blocks in a single call. From the web dashboard, users can browse indexed movies and episodes, trigger manual single-file or library-wide translations, and monitor active queues, progress percentages, and historical logs in real time. Scheduled background tasks and a documented REST API allow media servers to automate caption generation completely hands-free as new releases finish downloading. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.
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