ClipsAI vs LR-ASD
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.
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
You're not building a pipeline yourself. This is a research model, not a product.
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 · 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.