Show HN: Dub Any Podcast in Your Language Using Local Models
podcast_dub Dubs a video podcast into another language using all open-weight models. The pipeline can run mostly locally on an M-series Mac with at least 16 GB of RAM. Translation is the main constraint, as larger LLMs (over 70 billion parameters) generally produce significantly better results.
- ▪podcast_dub Dubs a video podcast into another language using all open-weight models.
- ▪The pipeline can run mostly locally on an M-series Mac with at least 16 GB of RAM.
- ▪Translation is the main constraint, as larger LLMs (over 70 billion parameters) generally produce significantly better results.
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podcast_dub Dubs a video podcast into another language using all open-weight models. The pipeline can run mostly locally on an M-series Mac with at least 16 GB of RAM. Translation is the main constraint, as larger LLMs (over 70 billion parameters) generally produce significantly better results. Feel free to experiment with different LLMs and configurations! caption-free speech timing automatic speaker separation (diarization) fluent LLM translation voice-cloned TTS per speaker (up to 4 speakers) the original audio kept underneath, deep-ducked Demo Original English dub Watch original Watch English dub Dub a local video Note: You need Git, uv, and FFmpeg pre-installed.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.