If you need speech2text try this, https://ccoreilly.github.io/vosk-browser/

ZWhispr seems to be the best for those who care about accuracy as it uses three SOTA models.

https://zwhispr.com/

For something you could plausibly ship inside a webapp, it’s very good. I can definitely think of some cool uses for this.

Hm. I saw language=detect and tried some Japanese - which (given the actual list of supported languages) unsurprisingly turned into some mangled Spanish.

Since it doesn't support Norwegian - I tried English - and it mis-transcribed "cleaning" for "training" - probably a failure due to context/training (Hello everyone, today we are going to do some cleaning).

So, reasonable, but limited?

Those are insane benchmarks at this size. Well done!

Sooo I haven't really been super impressed with the needle models before, but this is very impressive. It transcribed multiple sentences I gave it with complex timing and words and in such a small footprint, I'm super impressed. Excited to see what types of things can be built with something like this, the performance seems very good.

Huh, this was really confusing. I already had an STT app called Whistle on my Android phone.

hey, Roman here from Cactus, thank you for the feature!

opening this thread for questions/feedback if you have any

This is actually a really great release. Congratulations team. I just tried few words. My Indian accent also was able to pick up.I'm gonna run it on my Linux Box.

This is quite good, especially given the size and the fact that it runs on the CPU.