Clipping
ai-clipping-generator
Production-ready Next.js SaaS boilerplate for an AI clipping business.
★ 92 starsMIT
View guide →Turn Twitch, Kick, and YouTube streams into captioned Shorts locally.
clips-studio is an open-source clipping project by ColinGPT9 (ColinGPT9/clips-studio on GitHub). It has 85 GitHub stars and 18 forks, is released under the AGPL-3.0 license, and was last updated on GitHub on 4 October 2026.
Follow the project site for the local setup.
Point it at a Twitch, Kick, or YouTube VOD.
Local models detect highlights and generate captions.
Export vertical clips or auto-post them on a schedule.
Ollama and Whisper run everything on your machine.
Works with Twitch, Kick, and YouTube streams.
Generates captions for every clip automatically.
Keeps publishing clips from a mini PC unattended.
Switch to cloud models when you want more power.
Self-hosted, so clipping costs stay near zero.
Download the source and enter the folder.
git clone https://github.com/ColinGPT9/clips-studio.git
cd clips-studioSet up the Python environment.
pip install -r requirements.txtLaunch the app; the site covers model and posting setup.
# follow the project site for Ollama/Whisper and auto-post configA free, open-source AI video clipper that turns streams into captioned Shorts locally, at ColinGPT9/clips-studio.
The software is free and local AI means no usage fees; OpenRouter use is pay-as-you-go.
Twitch, Kick, and YouTube streams and VODs.
Yes. It can auto-post clips around the clock from a small PC.
AGPL-3.0, so modifications you deploy must stay open source.
Production-ready Next.js SaaS boilerplate for an AI clipping business.
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