Runs speech and visual AI models locally to auto-generate YouTube chapter timestamps — free, no upload, no signup, built for YouTubers who don't want to type timestamps by hand.
What to know▼
- How it works
- You upload a video and it uses Whisper for audio and Moment-DETR for visual analysis to detect natural chapter breaks, then outputs timestamps to paste into a YouTube description.
- What's different
- Cross-validates chapter breaks using both audio (Whisper) and visual detection, rather than relying on one signal; on a 68-minute test video it got 18 of 19 chapters correct.
- Pricing
- Free, no signup.
- Best for
- YouTubers who don't want to manually type out chapter timestamps.
- Watch out
- The 18/19 accuracy figure comes from a single 68-minute test video, not a broad benchmark.
Watched for 13 days · last checked 7d ago































