Podstr — AI Subtitle Translation

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No subtitles in your language? The extension translates them in real time — with context, not line by line. Podstr translates video subtitles to any language using AI models - Claude, Gemini, DeepSeek and others. Works directly in your browser, no server needed, no account required. 1. Install the extension 2. Open a video with subtitles in your browser 3. A language picker appears above the video - choose your language 4. Subtitles appear over the video while you watch Podstr works with players that expose subtitle tracks in standard formats: - HLS streams (.vtt segments in .m3u8): ARTE, Filmzie, Plex and more - TTML via player API: Netflix, BBC iPlayer and more - Direct .srt files: RaiPlay and more - Native HTML5 elements: RTS Planeta, Vimeo, YouTube and more We don't guarantee any specific platform. Streaming sites update their players, formats and APIs often, and something that worked last month may stop working tomorrow. We try to keep up. If Podstr doesn't work on a player you'd like to use - or stops working somewhere it used to - email us at hello@podstr.cc. Translation: - 30 target languages - Multiple AI models - free models available, paid models from ~$0.005 per episode - Translation cost shown after each translation - Auto-retry for lines the model skipped Cache: - Local cache - translated subtitles load instantly on repeat viewing - Shared cache - if someone already translated an episode, you get it free - Works offline after first translation YOUR API KEY, YOUR CONTROL Podstr uses the OpenRouter API. You bring your own key - it stays on your device, never leaves your browser. Typical cost: $0.005-0.05 per episode depending on the model. - API key stored locally - never synced or sent to any server - No tracking, no analytics, no ads - Subtitle text sent only to the AI provider you choose - Open source: github.com/aveleazer/podstr - "Read and change all your data on all websites" - needed to read subtitle streams from video CDNs and show the overlay - "activeTab" - needed to detect the current page and activate the picker

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