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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Story provenance
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/cezarc1/podcast_dub |
| Publication time | Sun, 26 Jul 2026 21:20:10 +0000 |
| Retrieval time | 2026-07-26T22:47:07.243Z |
| Last seen | 2026-07-26T22:47:07.243Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | dCRtp2tmDaeK |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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.