VideoHighlighter
VideoHighlighter is an open-source video ai project written in Python with 89 stars on GitHub.
The authors describe it as: “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 Labs, Runway, and Descript.”
Whatever you record, edit or capture with VideoHighlighter, Whipscribe transcribes the audio track into an accurate, speaker-labeled transcript with SRT/VTT captions — 100+ languages, secured private cloud. About $2 per audio hour, with a free instant preview.
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Frequently asked
What is VideoHighlighter?
VideoHighlighter is an open-source video ai project written in Python with 89 stars on GitHub. The authors describe it as: “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 Labs, Runway, and Descript.”
Is VideoHighlighter free?
VideoHighlighter is open source — free to use; check its license for redistribution terms.
What are the best VideoHighlighter alternatives?
The closest alternatives in the same category include opencv, cs-video-courses, d2l-zh, AI-For-Beginners, ultralytics — each has a live profile with facts and its own alternatives list on this hub.