Nemotron 3.5 Transcribe is an open speech LLM for intelligent transcription: a single model that transcribes 40 languages verbatim or in written form, with context, speaker attribution, and word timestamps, selected with a natural language instruction. It is the best open-weights model on the English and multilingual Open ASR Leaderboards.
An interview transcript might need every hesitation and repeated word. Meeting notes probably don't. But both need names and numbers written correctly.
@NVIDIA 's Nemotron 3.5 Transcribe lets you specify those preferences in plain language. You can ask for verbatim or cleaned-up text, provide a list of technical terms, and label speakers even when people talk over each other.
Supports 40 languages and recordings up to an hour, with word-level timestamps available when needed.
NVIDIA reports a 4.71% mean WER across nine public English Open ASR test sets, the best among open-weight models in its published comparison. Under the hood is a 34B-parameter MoE model with only about 4.3B active parameters.
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About Nemotron 3.5 Transcribe on Product Hunt
“Intelligent Transcription with a Speech LLM”
Nemotron 3.5 Transcribe launched on Product Hunt on November 5th, 2026 and earned 85 upvotes and 1 comments, placing #14 on the daily leaderboard. Nemotron 3.5 Transcribe is an open speech LLM for intelligent transcription: a single model that transcribes 40 languages verbatim or in written form, with context, speaker attribution, and word timestamps, selected with a natural language instruction. It is the best open-weights model on the English and multilingual Open ASR Leaderboards.
Nemotron 3.5 Transcribe was featured in Open Source (69k followers), Artificial Intelligence (482.9k followers) and Audio (2.2k followers) on Product Hunt. Together, these topics include over 158.6k products, making this a competitive space to launch in.
Who hunted Nemotron 3.5 Transcribe?
Nemotron 3.5 Transcribe was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Nemotron 3.5 Transcribe has received 38 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
Want to see how Nemotron 3.5 Transcribe stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
Hi everyone!
An interview transcript might need every hesitation and repeated word. Meeting notes probably don't. But both need names and numbers written correctly.
@NVIDIA 's Nemotron 3.5 Transcribe lets you specify those preferences in plain language. You can ask for verbatim or cleaned-up text, provide a list of technical terms, and label speakers even when people talk over each other.
Supports 40 languages and recordings up to an hour, with word-level timestamps available when needed.
NVIDIA reports a 4.71% mean WER across nine public English Open ASR test sets, the best among open-weight models in its published comparison. Under the hood is a 34B-parameter MoE model with only about 4.3B active parameters.
Weights are available on@Hugging Face , along with a fine-tuning toolkit.