Nvidia released Nemotron 3.5 Transcribe, an open-weight model that transcribes 40 languages, translates 31 and labels up to eight speakers in recordings of up to an hour. It came with Granary v2, a free dataset of 463,062 hours of speech in 48 languages.

Nvidia has released Nemotron 3.5 Transcribe, a free, open-weight AI model that turns speech into text in 40 languages, the company said on Wednesday. The same model can translate 31 of those languages to or from English, label who is speaking and answer questions about a recording.

It can handle recordings of up to an hour and tell apart up to eight speakers. Developers control it with plain-language prompts, for example asking for a clean or word-for-word transcript, or giving it medical or product terms to listen for.

The model has 34B parameters, but only about 4B are used for each step, which keeps it fast and cheap to run. It works on a single Nvidia chip, from small Jetson boards to data-centre GPUs, and its licence allows commercial use.

Nvidia says it ranks first among open models on Hugging Face’s English speech-recognition leaderboard, with an average word error rate of 5.33%. It is built for recorded audio, not live transcription.

Alongside it, Nvidia released Granary v2, a free dataset of 463,062 hours of speech across 48 languages, up from 25 in the first version. Developers download the audio from each original source under its own licence. Rivals charge for the same job: SpaceXAI’s Grok transcription costs 10 cents an hour.

To show how the model can be tuned, Nvidia trained it on medical speech from Indian doctors. That cut errors by 45.8% on held-out test clips, and took about 14 hours on one GPU.

The release adds to Nvidia’s growing family of open models. It follows Nemotron 3 Nano Omni in April and Nemotron 3.5 Lightning in August, which powers the new model’s language side.