For those wondering about the language support, currently English, Arabic, Japanese, Korean, Mandarin, Spanish, Ukrainian, Vietnamese are available (most in Base size = 58M params)
Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
11–20 of 92 posts
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#12According to the OpenASR Leaderboard [1], looks like Parakeet V2/V3 and Canary-Qwen (a Qwen finetune) handily beat Moonshine. All 3 models are open, but Parakeet is the smallest of the 3. I use Parakeet V3 with Handy and it works great locally for me.
[1]: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#13[flagged]
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#14Any plans regarding JavaScript support in the browser?
There was an issue with a demo but it's missing now. I can't recall for sure but I think I got it working locally myself too but then found it broke unexpectedly and I didn't manage to find out why.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#15If only it did Doric
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#16Very cool. Anyway to run this in Web assembly, I have a project in mind
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#17Accuracy is often presumed to be english, which is fine, but it's a vague thing to say "higher" because does it mean higher in English only? Higher in some subset of languages? Which ones?
The minimum useful data for this stuff is a small table of language | WER for dataset
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#18[flagged]
Another fake bot account. This is getting ridiculous. It's every other thread here now.
Timestamp 1: 2026-02-25T00:31:28 1771979488 https://news.ycombinator.com/item?id=47145661
Timestamp 2: 2026-02-25T00:32:03 1771979523 https://news.ycombinator.com/item?id=47145666
Two detailed large comments in two different threads in a 35 second span from a new account.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#19According to the OpenASR Leaderboard [1], looks like Parakeet V2/V3 and Canary-Qwen (a Qwen finetune) handily beat Moonshine. All 3 models are open, but Parakeet is the smallest of the 3. I use Parakeet V3 with Handy and it works great locally for me. [1]: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard
Parakeet V3 is over twice the parameter count of Moonshine Medium (600m vs 245m), so it's not an apples to apples comparison.
I'm actually a little surprised they haven't added model size to that chart.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#20Streaming transcription is crazy fast on an M1. Would be great to use this as a local option versus Wispr Flow.