ffmpeg-static vs LR-ASD
Both in the video & clipping category. Side-by-side — pick the one that fits your stack tonight.
Bundled ffmpeg that just works — no 'your version is missing libfoo' errors.
- rating
- 4★
- tested
- ✓ loya-tested
- cost
- free
- install
- drop-in
- stars
- 1,350
- updated
- 5w ago
You only need basic trim/extract operations — system ffmpeg is fine for those.
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 · ffmpeg-static
If you've tried to use ffmpeg in a Node project, you've probably hit the 'no such filter: subtitles' or 'no such filter: drawtext' error — because whichever ffmpeg your machine has was compiled without the library you need. ffmpeg-static is an npm package that ships a full ffmpeg binary with everything common pre-enabled (libass, libfreetype, the full encoder set). Drop it in, point your spawn calls at it, stop fighting the system ffmpeg. Works on Mac/Linux/Windows. 50MB dep, scoped per-project.
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.