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░ armory · video-clipping · compare

LR-ASD vs PySceneDetect

Both in the video & clipping category. Side-by-side — pick the one that fits your stack tonight.

LR-ASD★★★★
🆓 free🐍 sidecar

The 2025 state-of-the-art for 'which face is actually talking.' Fast, tiny, accurate.

rating
4
tested
cost
free
install
sidecar
stars
109
updated
1y ago
#video#active-speaker#python#research#lightweight#open-source
avoid if

You're not building a pipeline yourself. This is a research model, not a product.

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PySceneDetect★★★★
✓ loya-tested🆓 free🐍 sidecar

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
#video#scene-detection#python#opencv#cli#library
avoid if

You only work with single-camera talking-head footage — scene detection isn't useful there.

open the full entry →

why it matters · LR-ASD

LR-ASD is the newest open-source active speaker detection model (Springer IJCV 2025 paper). It tells your video pipeline which person in a multi-face frame is actually talking. Accuracy beats the older TalkNet approach and it's 23 times lighter — fast enough to run on every frame, not just samples. If you're building your own clipping or auto-crop pipeline and accuracy matters more than a pre-built library, this is the one to drop in. MIT, free, Python.

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).

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