bridge-mind/bridgeclip

Open-source AI video clipping desktop app by BridgeMind

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README & documentation

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Turn long videos into captioned short-form clips, on your own computer. An open-source AI clipping app from BridgeMind. Drop in a podcast, stream, YouTube link or Twitch VOD link, and BridgeClip finds the strongest moments, cuts them to 9:16 or 16:9, and burns in word-by-word captions. Every run gets its own folder. The Library shows completed clips with virality scores, timecodes and tags. Jobs shows what is running or queued right now (up to two clipping runs go at once; more wait in a queue) and every earlier run, including completed, failed, cancelled and interrupted jobs; completed runs open their clips, and failed runs from this session can run again. Older runs without a saved status appear as unfinished. You can optionally connect social accounts through Zernio to publish or schedule a selected clip. In Create → Clips, choose Quality, Economy, or Advanced. Advanced offers searchable OpenRouter model pickers for…

bridge-mind/bridgeclip on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-09-26T12:36:45.810Z

Inside the original README — Document outline
  1. Why BridgeClip?
  2. How it works
  3. Download
  4. What leaves your computer
  5. Clip a Twitch VOD
  6. Develop
  7. First run and troubleshooting
  8. Project layout
  9. Contributing
  10. License

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Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

Open-source AI video clipping desktop app by BridgeMind

Repository facts

Owner
bridge-mind
Primary language
TypeScript
Stars
238
Forks
53
Open issues + pull requests
10
License
MIT
Archived
No
Default branch
main
Created
2026-09-24T17:09:04.000Z
Last push
2026-09-26T11:13:13.000Z

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