Claude picks the clips worth cutting
How it works
Why it beats the alternative
How it actually works
Exactly what it does — and when.
You drop in a 45-minute podcast. It transcribes it, Claude reads the transcript and flags the 12 moments most likely to pop — each with a one-line reason — and you get vertical, captioned clips ready to post. What used to be an afternoon of scrubbing is a single command, on your machine, with zero per-clip fees.
Use it to…
Repurpose podcast episodes
Drop a long interview URL and get up to 30 clips flagged for hooks, payoffs, and quotable lines—each with a reason—ready to cut for Reels or Shorts.
Mine tutorial highlights
Run --mode ai on a how-to video so Claude picks the payoff moments and explains why each segment stands alone as a clip.
Clip with no API key
Process a YouTube URL entirely on your own machine using local hook-detection when you don't have a Claude API key—still zero per-clip fees.
The shift it creates
- $80–150/mo SaaS bills stacking up
- Rate caps + vendor lock-in
- Data you don't actually own
- Claude actually watches the transcript and surfaces the genuinely clip-worthy moments
- Turn one long video into up to 30 short-form-ready cuts without uploading footage to the cloud or paying a fee per clip
- Never get stuck without a key—local hook-detection keeps finding clips even when no Claude API key is set.
What's inside
Who it's for
YouTube creators repurposing long-form
They need hook-driven shorts pulled from their own uploads fast, without per-export fees or sending footage to the cloud.
Short-form editors and clip channels
They want up to 30 ready-to-cut moments per source video, each justified, instead of scrubbing hours of footage by hand.
Privacy-conscious operators
They need clip discovery that runs 100% locally, with a no-API-key fallback so it works on any machine.
Questions, answered
Ready to put YT Clipper to work?
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