Deepgram Nova-3 vs fast-asd (Sieve)
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.
Tells your video which person is actually talking. Powers auto-cropping for clips.
- rating
- 3★
- tested
- —
- cost
- free
- install
- sidecar
- stars
- 82
- updated
- 1y ago
You aren't building your own video pipeline. Most creators should just pay OpusClip and skip the plumbing.
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 · fast-asd (Sieve)
If you want to take a multi-person podcast and auto-crop it to the vertical 9:16 format TikTok and Reels want, the video needs to know WHO is talking at any given second. fast-asd figures that out — audio + lip movement detection — so your crop follows the active speaker. Stale repo (last updated mid-2024) but still works, and the pattern is still how every podcast clipper does speaker tracking under the hood. Python sidecar, MIT, free.