Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3

I'm offering support for this in Resonant - Already set up and running this week.

It's incredible for a live transcription stream - the latency is WOW.

https://www.onresonant.com/

For the open source folks, that's also set up in handy, I think.

I'm looking to switch from feeding the default android "recorder" app's .WAV into Gemini 3 Pro (via the app) with (usually just) a `Transcribe this please:` prompt; content is usually German voice instructions/explanation for how to do/approach some sysadmin stuff; there does tend to be some amount of interjecting (primarily for clarifications(-posing/-requesting)) by me to resolve ambiguity as early as possible/practical.

If e.g. parakeet can be run on my phone in real time showing the transcript live:

- with latency low enough to be "comfortable enough" for the instructor to keep an eye on and approve the transcribed instructions

[not necessarily every word of the transcript, i.e., a commanded "edit" doesn't need to be applied in the outcome as long as it's nature is otherwise clear enough to not add meaningful amounts of ambiguity to the final "written" instructions]

by glancing at the screen while dictating the explanation (and blurting out any transcription complaints as soon as that's possible without breaking one's own string-of-thought or spoken grammar too much)

, I'd very happily switch to that approach instead of what I was doing.

Bonus if there's a no-bulky-or-expensive-hardware way to accommodate us both speaking over each other so I won't have to _interrupt_ his speaking just to put a clarifying comment (on what he just said) in the transcript for him to see and sign off, where the at least "only" briefly interrupts his thoughts right while he actually reads my transcribed words (he doesn't have to hear them, and it's better if he won't; I can probably get him to put on earmuffs to not hear me louder than he hears his thoughts, and a sufficiently-smoothed SNR meter for specifically his voice should take care him regulating his volume while the earmuffs mute it and I occasionally talk over him)...

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Is this alternative to Whispr Flow?

Congrats on the results. The streaming aspect is what I find most exciting here.

I built a macOS dictation app (https://github.com/T0mSIlver/localvoxtral) on top of Voxtral Realtime, and the UX difference between streaming and offline STT is night and day. Words appearing while you're still talking completely changes the feedback loop. You catch errors in real time, you can adjust what you're saying mid-sentence, and the whole thing feels more natural. Going back to "record then wait" feels broken after that.

Curious how Moonshine's streaming latency compares in practice. Do you have numbers on time-to-first-token for the streaming mode? And on the serving side, do any of the integration options expose an OpenAI Realtime-compatible WebSocket endpoint?