Ask HN: Most accurate ML speech-to-text API?

I'm building a project that relies on at least pretty-good transcription with timestamps for each word and ideally speaker diarization.

Right now I'm using Google Cloud's Speech-to-Text, but the accuracy is underwhelming when transcribing a Zoom call (50%ish).

Am I likely to fare much better with Azure/AWS? What about Symbl.ai?

While sometimes more expensive, I've found GCP the best option (from an accuracy standpoint) for STT diarization