Clips courts
cartcut
Video Editor for AI agents, built on the belief that open source can beat commercial tools
★ 760 étoilesMIT
Voir le guide →tiktok-uploader est un projet de clips courts open source, créé par wkaisertexas (wkaisertexas/tiktok-uploader sur GitHub). Il compte 778 étoiles sur GitHub et 169 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 12 février 2026.
Automatically ⬆️ upload TikTok videos
A long video, a script, or just a topic — pick the input your tool expects.
Aspect ratio (9:16), voice, captions, and branding.
AI writes, voices, and edits; clipping tools find the highlights.
Exports sized for Shorts, TikTok, and Reels.
Designed to run unattended: triggers, schedules, and webhooks.
Built on Python, so it plugs into the wider data and ML tooling ecosystem.
Stock visuals and AI voices replace cameras and mics.
Render dozens of variations from templates.
Long videos mined for their most shareable moments.
Dead air and filler cut without manual scrubbing.
Download the source and move into the project folder.
git clone https://github.com/wkaisertexas/tiktok-uploader.git
cd tiktok-uploaderEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at wkaisertexas/tiktok-uploader with 169 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Early ones can; good templates, voices, and pacing close the gap fast.
No — that's the point. A good script matters more.
Minutes for templated shorts; longer for heavily edited pieces.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.