Apple Intelligence and Dictation: On-Device AI

Dictation used to mean raw, messy text full of "um" and missing commas. On-device AI changes that. Here is how Apple Intelligence and local speech models work together on your Mac to turn spoken words into clean, finished text, without sending your voice anywhere.

What "on-device AI" actually means

When people talk about Apple Intelligence and dictation, they usually mix two different jobs into one word. The first job is speech recognition: turning the sound of your voice into words. The second is language cleanup: taking those raw words and shaping them into a proper sentence. On a Mac optimized for Apple Silicon, both jobs can run entirely on the machine in front of you.

That is the whole point of on-device AI. Nothing is uploaded, nothing is queued on a distant server, and nothing waits on your internet connection. BlaBlaType runs speech recognition 100% on-device using local Whisper and Parakeet models, then hands the text to an on-device AI cleanup step powered by Apple Intelligence. You can read Apple's own overview of its Apple Intelligence platform for the wider context, and the Whisper speech recognition model is well documented if you want the technical background.

The two steps, one after another

It helps to picture dictation as a short pipeline. Your microphone captures audio, a local model transcribes it, an on-device AI step cleans it up, and the finished text lands in whatever app your cursor is in. Every stage in that chain stays on your Mac.

The reason this matters is speed and polish at the same time. Local speech models are fast enough that the text appears almost as you finish talking, and most people speak around three to four times faster than they type. The cleanup step then removes the rough edges so you are not left correcting a transcript by hand. If you want the deeper mechanics, we broke down exactly how perfectly formatted text from voice works.

Raw speech in, polished text out

The clearest way to understand AI cleanup is to see it. Here is what a normal, unscripted sentence looks like before and after the on-device AI step. Nothing here was uploaded: both the transcription and the rewrite happened on the Mac.

Notice what changed: the filler words are gone, the run-on sentence is split with proper punctuation, the accidental "the the" is fixed, and the tone reads like something you would actually send. That is on-device AI doing the editing you would otherwise do yourself. You can also teach it a custom dictionary so names and jargon are spelled correctly, and set custom AI prompts so the tone matches your style.

Apple Dictation versus on-device AI dictation

Every Mac ships with Apple Dictation, and it is genuinely useful for quick notes. Where it stops short is the cleanup: built-in dictation writes what you say, filler and all, and leaves the editing to you. A dedicated on-device AI app adds the second step. For a side-by-side look, see our full comparison of Apple Dictation versus BlaBlaType.

The system-wide part is easy to overlook. Good dictation types wherever your cursor is: an email, a Slack message, a note, an editor, an AI chat. Some tools go a step further with optional screen-context awareness, which we cover in why your dictation app should see your screen. Developers often lean on this to code by voice on Mac, and professionals who handle sensitive drafts, like accountants writing client notes fast, value that the audio never leaves the machine.

Why on-device matters for privacy

When both the transcription and the cleanup run locally, there is simply no upload to worry about. Your voice and the finished text stay on the Mac. That is the difference that matters for confidential work: client records, legal drafts, medical notes, or anything under an NDA. Cloud dictation can be excellent, but it moves your audio to a server to do its job. On-device AI keeps the whole loop on your desk. See our full plans on the pricing page if you want to compare what runs locally on each tier.