Open source · 29 October 2026
Available nowNVIDIA releases Nemotron 3.5 Transcribe, open‑weight multilingual transcription model
NVIDIA Nemotron 3.5 Transcribe, an open‑weight promptable model now on Hugging Face, transcribes 40 languages, translates 31 to/from English, and attributes speakers in 13 languages, handling recordings up to an hour and up to eight speakers. It leads the Hugging Face Open ASR Leaderboard for English and posts the lowest error rate on David AI’s 21‑language diarization leaderboard.
Why it matters
Nemotron 3.5 Transcribe handles 40 languages, translation and speaker diarization, so product managers should add promptable multilingual transcription to global user flows.
For product managers
For your product
What does this mean for your product?
Try it on your product More from this issueAll AI news from 29 Oct →
Get this every morning, written for your product.
Deltaday reads the whole AI news cycle and tells you what changed, whether it's real yet, and what to do about it.