Rank #1042 · on radar since 2026-07-03
SoulX-Transcriber
An end-to-end framework for multi-speaker transcription that jointly models who spoke, when, and what.
Visit homepage ↗sdllmspeech-recognitionsdr+1
Momentum
42.2
24h–7d–
Why it's ranked
Every score decomposes into published factors — the same math for every tool, paid or not. Read the methodology →
| Velocity (weighted, cohort-normalized) | 0.438 |
| Signal decay | 0.995 |
| Corroboration | 1.000 |
| Quality gate | 1.000 |
Raw signals (30 days)
github · forks14 latest · 2 snapshots
github · stars264 latest · 2 snapshots