Besides being trash as others said, there’s a trade off with real time transcription word by word - there’s no opportunity for an AI to holistically correct/clean up the transcription

it's trash if:

- you're not a native speaker or have accent

- using airpods mic

- surroundings is noisy

- use novel words like 'claude code'

- mumble a bit

Which one? I did a quick search but that didn't turn up anything so perhaps it's a partial word overlap or something.

I did find the projects "user-facing" home page [1] which was nice. I found it rather hard to find a link from that to the code on GitHub, which was surprising.

[1]: https://handy.computer/

This is a slightly German-centric comment.

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I have been using this one from Futo for quite some time and love it: https://keyboard.futo.org/

They also have a voice input only version if you still would like to keep your typing keyboard: https://voiceinput.futo.org/

There is one single app I've been able to find that offers Parakeet-v3 for free locally and it's called Spokenly. They have paid cloud models available as well, but the local Parakeet-v3 implementation is totally free and is the best STT has to offer these days regardless. Super fast and accurate. I consider single-user STT basically a solved problem at this point.

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As an alternative to Wisprflow, Superwhisper and so on. It works really well compared to the commercial competitors but with a local model.

I hear a CLI request? Tons of CLI speech-to-text tools by the way, really glad to see this. Excellent competitors (Superwhisper, MacWhisper, etc.) are closed/paid.

It doesn’t! Just makes it more accessible to more people I feel. There’s a cli version for Mac which I wrote first handy-cli

Ah, that was a typo: you meant "GPU" (Graphics Processing Unit, not "GUI" which of course is Graphical User Interface) since that is listed in the system requirements. Explained implicitly by an existing comment, thanks!

So more people can use it?

Because local AI models run well on a GPU, better than on a CPU