Deepgram Nova-3 vs ffmpeg-static
Both in the video & clipping category. Side-by-side — pick the one that fits your stack tonight.
The speech-to-text that actually gets word-level timestamps right.
- rating
- 5★
- tested
- ✓ loya-tested
- cost
- paid
- install
- needs-wiring
- stars
- 0
- updated
- 4d ago
You only transcribe short voice notes — use free Whisper locally.
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.
why it matters · Deepgram Nova-3
Nova-3 is the transcription engine behind every podcast clipper that ships. You upload audio, get back text with per-word timestamps, speaker labels, and punctuation — the three things you need to cut a clip on a clean sentence boundary instead of mid-word. Costs about 26 cents an hour of audio. Free \$200 credit when you sign up, which gets you through your first 700+ hours before you pay anything. Way more accurate than Whisper on real podcast audio.
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.