Aseiel/VideoHighlighter
Open-source local AI video analyzer powered by Ollama. Visual search, automatic highlights, scene/action/object detection, audio analysis, and subtitle generation. Free, offline alternative to Twelve
- Stars
- 301
- Forks
- 39
- Open issues
- 5
- Last push
- 1d ago
About VideoHighlighter
VideoHighlighter is a free, open-source computer vision tool by Aseiel, written mainly in Python. Open-source local AI video analyzer powered by Ollama. Visual search, automatic highlights, scene/action/object detection, audio analysis, and subtitle generation. Free, offline alternative to Twelve. It has 301 GitHub stars and 39 forks, and was last updated 1d ago. It's released under the AGPL-3.0 license, a standard open-source license. According to the project, it works on macOS.
- License
- AGPL-3.0
- Commercial use
- Copyleft
- Language
- Python
- Stars
- 301
- Last update
- 1d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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VideoHighlighter FAQ
Can I use VideoHighlighter commercially?
With conditions. AGPL-3.0 allows commercial use, but if you modify it or build on it, even as a web service, your code must also be released under AGPL. This is a plain-English summary, not legal advice.
Is VideoHighlighter free?
Yes. VideoHighlighter is open source and free to use. It's released under the AGPL-3.0 license, a standard open-source license.
Does VideoHighlighter run on a Mac?
Yes. According to the project, VideoHighlighter works on macOS.
Does VideoHighlighter need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is VideoHighlighter still maintained?
Yes. It was last updated 1d ago and has 5 open issues on GitHub.
What are alternatives to VideoHighlighter?
Similar free, open-source tools include ultralytics, video-subtitle-extractor, viseron, DeepCamera.