For academics and researchers
Your field has its own language.Dictation should already know it.
Every discipline is a vocabulary problem wearing a lab coat.
Author names, methods, instruments, the six-syllable term your subfield uses fifty times a day — these are precisely the words general recognisers have never encountered, and they are most of what you write.
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The real friction
“Nothing handles my terminology, so I spend longer correcting than writing.”
That is the correct read of every general-purpose tool, and it is why dictation has a bad reputation in academia specifically.
The vocabulary of a subfield is small, stable, and almost entirely absent from general training data — which makes it the ideal thing to learn from your own writing rather than hope for.
By the second month the terms you use most are the ones it gets right most.
What actually happens
Be unpolished in private.Deliver clean text in public.
You said
the meta analysis is underpowered for the subgroup effect they claim, they've got eleven studies and only three report the moderator, so the confidence interval on that estimate is basically uninformative
VoiceCatalyst delivered
The meta-analysis is underpowered for the claimed subgroup effect: of eleven included studies, only three report the moderator, leaving the confidence interval on that estimate largely uninformative.
Recognition runs on your Mac. Unpublished work stays unpublished.
Where it fits
High-value moments.
Literature reviews
Say what a paper contributes while you are still holding it, not weeks later.
Grant applications
Speak the significance section while the argument is live; edit for the word limit after.
Lecture preparation
Talk the lecture through once and keep the version you would actually deliver.
Peer review
Dictate the substantive critique in one pass instead of assembling it from margin notes.
How it works
Three steps. One key.
Press a key. Speak.
One hotkey anywhere on your Mac. No app switching, no mode to remember.
It transcribes on device.
Your voice never leaves your machine. There is no cloud transcription path for it to leave through.
Your words land right.
The names and terms you actually use are already known, so the text arrives finished instead of needing repair.
Privacy
Unpublished findingsstay on your machine.
Pre-publication data and unblinded review comments are not material to send through a vendor. Recognition happens on your Mac, so there is no transmission to us or anyone else.
Your subfield's vocabulary is yours, and we never pool it with another researcher's.