yt-short-clipper
Windows desktop app that turns long-form YouTube videos into 9:16 short-form clips, AI highlight detection, face-tracking portrait reframe, and word-by-word captions.
Not yet testedsource: GitHubTypeScriptMITcommit f6d6d98f3bce
TypeScript, MIT licensed. The project labels itself: ai video, content creation, ffmpeg, instagram reels, llm, mediapipe, python and react.
yt-short-clipper has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
ai-videocontent-creationffmpeginstagram-reelsllmmediapipepythonreactrustshort-form-videotauritauri-apptiktoktypescriptvideo-editingyoutube-shortsyt-dlp
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Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/yt-short-clipper)Questions
- Does yt-short-clipper run?
- yt-short-clipper has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test yt-short-clipper?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for yt-short-clipper?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.