Fix Mac Dictation Accuracy: Settings, Mic, and Vocabulary

Use one test sentence so you can tell what changed

Accuracy work goes wrong when you change three settings at once and judge the result on whatever you happened to say. Write one test sentence, keep it in a note, and reuse it after every change. Twenty-five words is enough if the sentence contains the things that break.

• A colleague’s name and a client or company name.
• A product name, repo name, or acronym you say weekly.
• A number with digits, plus one email address.
• One sentence that ends in a question mark.

Say it into the app you actually write in, not into a text editor you never use. Count corrections and write the number next to the change you made. Three data points beat a hunch, and the log tells you when to stop fiddling.

You will get better at reading your own test sentence, which does not make the engine better. That is fine. You are comparing configurations against each other, not measuring how you speak on a normal Tuesday.

Microphone distance and the room around it

Position is the biggest lever you have, and it costs nothing. Hold a stable spot 15 to 30 cm from the mic and speak slightly past it rather than straight into it: straight on at close range, every p and b lands as a breath pop the engine reads as a garbled syllable.

1. Open System Settings > Sound > Input and pick the device you think you are using.
2. Speak your test sentence and watch the level meter at your normal volume.
3. If the meter barely moves, get closer before you raise input gain.
4. If it pins to the top, back off or lower gain so consonants stop clipping.

Then clear the path. Laptop fans, an air vent, a desk fan, and a mechanical keyboard all land in the same microphone.

One habit fixes a common complaint: wait half a second after you press the shortcut before you start talking. Most reports of a missing first word are a take that started before the mic did.

Bluetooth caveats worth knowing before you blame the model

Bluetooth headsets sound fine on calls and often worse for dictation. When the headset mic engages, macOS changes the input route and the mic path runs at a lower quality than the music you hear through the same earbuds. Blurred consonants and a swallowed word after each pause are the usual signs.

Watch for the device switching itself. Video call apps reassign the input, and putting one earbud back in its case mid-session can move the mic.

Settings that cause steady, repeatable errors

Setting problems produce the same failure every time. If one class of word fails on every attempt, check language and permissions before you buy hardware or swap models.

• The dictation language matches the language you are speaking right now.
• The engine finished downloading rather than sitting half cached.
• Microphone permission is granted to the app you are dictating from.
• Accessibility permission is granted if the app inserts text at your cursor.
• Auri Voice needs macOS 15 or later.

Missing Accessibility permission looks exactly like an accuracy problem: recognition works and no text appears. The shortcut guide covers the permission fixes.

Separate the two layers while you test. Auri Voice transcribes on your Mac by default. The cleanup pass sends the transcribed text (never audio) to the provider you pick — Auri Cloud unless you change it; choose Auri Local in AI settings to keep both steps on the Mac (Apple Silicon). The pass repairs self-corrections, adds punctuation, formats lists, and removes filler, so rewording is not a recognition error:

You said: "the price is fifty, no, sixty dollars"

Auri typed: "The price is $60."

Nothing was misheard; the cleanup pass applied the spoken correction. The rest of this guide tunes the recognition layer.

Custom words for names, brands, and jargon

Custom vocabulary fixes what no setting can reach: surnames, client names, internal acronyms, product codes. In Auri Voice it works with every engine, because entries apply to the transcript after recognition; with Auri Cloud they also bias recognition itself (Pro). Two ways to add words:

• Settings > Dictation > Text > Vocabulary. Type the term, and use Teach by voice on an entry so Auri hears how you say it.
• From History: right-click a dictation and choose Correct with Vocabulary…, fill in "When Auri writes" and "Always correct to", then click Add Correction. That turns a mistake you just spotted into a permanent fix.

Start with the fifteen to twenty-five terms you retype most often, then rerun your test sentence. The custom words guide covers building, importing, and pruning the list.

Quiet room versus noisy room tactics

Noise strategy is distance first, engine second. Getting the mic closer to your mouth removes more error than any model swap; in a loud space a wrist or a headset beats a laptop lid across the desk.

Auri Voice can use an Apple Watch as a close mic for loud rooms, commutes, whispering, or a Mac docked across the room. Audio is encrypted in transit and transcribed on the Mac by a local engine; the Mac must be awake with Auri Voice running.

In loud places, shorten takes to one thought each; a long take gives the engine more chances to guess wrong in a row.

Change engines last, and judge over a week

Swapping engines is the most satisfying step and the least reliable one, because a new model resets your sense of what was broken. Do it after signal, settings, and vocabulary, or you will not know what helped. The switch itself is Settings > Voice engine, where each card shows the model, download size, and languages.

1. Baseline with Fast English (Parakeet TDT v2) or Fast Multilingual (Parakeet TDT v3), plus your custom vocabulary, on the test sentence and one real email.
2. Run the same two texts on Whisper Large Turbo in the same room, at the same distance.
3. Try Whisper Base if you need a lighter local download, or Auri Cloud or Apple On-Device if you want nothing to download.
4. Keep the winner as your default for a full week before you decide.

Larger models cost disk, memory, and heat, so judge the candidate during a normal working afternoon rather than a quiet morning demo.

Auri Voice on macOS 15 or later ships seven engines, plus two experimental Labs engines, and switches among them without a reinstall; the engine guide has the full decision logic. Stop tuning when the correction count on your test sentence stops falling. Speaking runs around five times faster than typing (Auri estimates the saving against your own typing speed), and that advantage disappears if you re-edit every line.

FAQ