ClipsAI vs PySceneDetect
Both in the video & clipping category. Side-by-side — pick the one that fits your stack tonight.
The open-source blueprint for podcast clipping. Study it, steal the patterns.
- rating
- 3★
- tested
- —
- cost
- free
- install
- needs-wiring
- stars
- 474
- updated
- 2y ago
You want a ready-to-ship tool. ClipsAI is a reference design at this point, not active software.
Finds every camera cut in your video automatically. Powers smart cropping + transitions.
- rating
- 4★
- tested
- ✓ loya-tested
- cost
- free
- install
- sidecar
- stars
- 4,736
- updated
- 4d ago
You only work with single-camera talking-head footage — scene detection isn't useful there.
why it matters · ClipsAI
ClipsAI was the first proper open-source take on 'long podcast in, viral shorts out.' Python library that finds natural topic boundaries + tracks the active speaker to cut clips that actually make sense standalone. Hasn't been updated in over a year, so treat this as a reference codebase, not a production install. The topic-boundary + speaker-detection approach it uses is still how OpusClip works under the hood. Read the repo, steal the pattern, build your own pipeline.
why it matters · PySceneDetect
PySceneDetect scans any video and spits out the timestamp of every hard cut — the moment the camera switches. For multi-cam podcasts, that's the boundary you need so your 9:16 crop follows the active speaker without drifting on stale frames. Used in podcast-clipper crop pipelines alongside face tracking — same library Loya's LYRC export pipeline relies on for scene work. Free, Python, actively maintained (commits this week).