Huanshere/VideoLingo
Netflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team | Netflix级字幕切割、翻译、对齐、甚至加上配音，一键全自动视频搬运AI字幕组
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
3 releases in the last 90 days, the latest 44 days ago, with 21 contributors on GitHub.
Use Cases & Benefits
- Provides an all-in-one AI-powered tool for video subtitle cutting, translation, alignment, and dubbing with Netflix-level quality.
- Delivers superior single-line subtitles and seamless dubbing with advanced AI models, surpassing typical machine translation and subtitle tools.
- Use for automating high-quality multilingual subtitle creation and dubbing for YouTube videos to reach global audiences.
- Use for localizing educational or corporate training videos with precise subtitle alignment and natural voice cloning.
- Use for producing cinematic-quality translated subtitles and dubbing for independent filmmakers and content creators.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
VideoLingo is an all-in-one video translation, localization, and dubbing tool aimed at generating Netflix-quality subtitles. It eliminates stiff machine translations and multi-line subtitles while adding high-quality dubbing, enabling global knowledge sharing across language barriers.
Difference from similar projects: Single-line subtitles only, superior translation quality, seamless dubbing experience
Input Language Support(more to come):
🇺🇸 English 🤩 | 🇷🇺 Russian 😊 | 🇫🇷 French 🤩 | 🇩🇪 German 🤩 | 🇮🇹 Italian 🤩 | 🇪🇸 Spanish 🤩 | 🇯🇵 Japanese 😐 | 🇨🇳 Chinese* 😊
*Chinese uses a separate punctuation-enhanced whisper model, for now...
Translation supports all languages, while dubbing language depends on the chosen TTS method.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
2.1K+111
Open issues
25-183
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| anthropics/skills | 192.3K | +5.2K | 75 | — |
| zed-industries/zed | 94.7K | +2.3K | 75 | 6 days ago |
| google/skills | 23.8K | +2.0K | 75 | — |
| NationalSecurityAgency/ghidra | 99.4K | +1.8K | 75 | 19 days ago |
| DuarteSantos8/openGym | 20.8K | +1.7K | 75 | 7 days ago |
| Huanshere/VideoLingo | 19.1K | — | 75 | 44 days ago |
| Category median | 94.7K | +2.0K | 75 | — |
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