Vidéo
AI-Video-Summarizer
YouTube summaries and timestamps via Gemini or GPT.
★ 98 étoilesMIT
Voir le guide →koma est un projet de audio open source, créé par yuxino-labs (yuxino-labs/koma sur GitHub). Il compte 236 étoiles sur GitHub et 2 forks, il est publié sous la licence Custom et a été mis à jour pour la dernière fois sur GitHub le 22 septembre 2026.
Self-hosted AI video analysis: summaries, chapters, transcripts.
Self-host it per the official site.
Feed in the footage to analyze.
Summaries, chapters, keyframes, transcript.
Take SRT or JSON into your workflow.
AI-written summaries of footage.
Chapter markers from content.
Visual highlights pulled automatically.
Full speech-to-text output.
Structured data for your pipeline.
Runs on your own hardware.
Download the source and enter the folder.
git clone https://github.com/yuxino-labs/koma.git
cd komaSet up the Python environment.
pip install -r requirements.txtLaunch it per the README.
python app.pySelf-hosted AI video analysis with summaries, chapters, keyframes, and transcripts, at yuxino-labs/koma.
Summary, chapters, keyframes, transcript, plus SRT/JSON export.
The code is on GitHub under a custom license; check the terms.
Yes. It is designed to be self-hosted.
Computer vision, speech-to-text, and ffmpeg.
YouTube summaries and timestamps via Gemini or GPT.
MCP server that turns any video — YouTube.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.