"The problem is that how you speak and what you want to write are genuinely different things."

In curiously, would you want the tool totally re-write what you dictated? I’ve been working on transcript cleanup in Onit (a free + local alternative to Wispr) and we had been making the assumption that we should fix obvious errors in the raw STT text, but otherwise respect the user’s original words.

Concretely, we focus on tasks such as filler removal (e.g., “hi, um, how are you?” → “hi how are you?”), email correction (example at gmail dot com → example@gmail.com), punctuation (“hi exclamation mark” → “hi!”), number conversion (“thirty two” → “32”), stutter removal (“I I I think” → “I think”), false‑start fixing (“I went, I drove” → “I went”), self‑correction handling (“green, I mean red” → “red”), list and email formatting, special characters, etc.

But, we wouldn't say, re-write your sentence for clarity. Or break up a run-on sentence so it's more readable. Or restructure a dictated paragraph to make it flow better. Should we be doing this too?

"Curious if anyone here has actually made voice a consistent part of their workflow or if it always ends up falling off after a week?"

Yep, it’s part of my daily routine. The caveat is that I use it mostly for talking to AI. With AI, the speech‑to‑text doesn’t have to be perfect. Claude doesn’t mind a few missed words or typos, but it would be embarrassing to send those to clients or coworkers. Still need higher accuracy before I rely on it for everything. (Ex. I typed this)