I’m using Whisper medium.en. I’ll check out Turbo, thanks! Looks like it’s released last month. My solution is pretty model agnostic. If Turbo is indeed as fast as they advertised with lower WER than small.en, then it will supercharge my solution as well (it’s already pretty fast and accurate).
It’s a good point. I briefly looked at their GUI and it’s very tied to the Apple Notes surface. It’s a good way to provide real time transcription to the masses, but their UX and speed leaves a lot to be desired.
Why do we have so many custom notes app when we can just use Apple Notes?
I've tried this demo before. My solution is better in terms of latency and accuracy. You can place Otter.ai and Real-time Whisper WebGPU side by side and see the difference. That's the difference I observed with my solution as well.
I have built my own local-first solution to transcribe entirely locally in real time word by word, driven by a different need (I'm hard of hearing). It's my daily driver for transcribing meetings, interviews, etc. Because of its local-first capability, I do not have to worry about privacy concerns when transcribing meetings at work as all data stays on my machine. It's about as fast as Otter.ai although there's definitely room for improvements in terms of UX and speed. Caveat is that it only works on MacBooks with Apple silicon. Happy to chat over email (see my HN profile).