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What is AI dictation? What the AI does and where it runs

AI dictation explained: speech recognition plus optional language-model cleanup, where each step runs, what the AI gets wrong, and how to check what apps send.

In 2026, "AI dictation" usually means two separate steps. First, a speech recognition model turns your audio into words. Second, and optionally, a language model cleans up those words: it removes "um", fixes punctuation, turns spoken lists into bullets, or rewrites the text in a different tone. Each step can run on your own device or on a company's servers, and they do not have to run in the same place. Knowing which step happens where tells you what an app sends, and what it might change.

Publisher note: SuprFlow publishes this guide and is one of the products discussed. Competitor details come from each company's own pages, checked on 1 October 2026. Prices and features change; confirm before you buy.

What are the two steps?

Step 1: speech recognitionStep 2: language-model cleanup
What goes inYour recorded audioThe text from step 1, plus instructions and sometimes context
What comes outA raw transcriptEdited, formatted or rewritten text
Typical modelsWhisper, Parakeet and vendors' own modelsGeneral-purpose language models, run locally or through a provider
If it runs in the cloud, what is sentAudioText (and any context the app adds)
Typical mistakesSound-alike words, misheard namesFluent changes to meaning

Superwhisper's documentation describes this split clearly: "Every dictation in Superwhisper passes through two independent stages", voice to text and then text post-processing, and "Each stage is independently configurable" between local and cloud (Superwhisper). The other apps below describe the same split in their own terms. How speech recognition works explains step 1 in more depth.

What does the AI cleanup actually do?

Vendors describe it in their own words. Apple says that on supported devices, Dictation "now captures what users say as polished text with greater precision, automatically handling capitalization, punctuation, and formatting as they speak", using an on-device model available on a Mac with M3 or later and at least 12GB of unified memory (Apple Newsroom). BetterDictation publishes its default cleanup prompt, which tells the model to remove stammers and filler words, remove false starts, correct grammar, choose a format such as a list, and "Ensure that your edits do not alter the intended message" (BetterDictation user guide).

That last instruction shows the core tension. The cleanup step is asked to change your words, but not your meaning, and a model can get that balance wrong.

Where does each step run?

As each vendor documents it, checked on 1 October 2026. This is a map of architectures, not a ranking.

ProductSpeech recognitionCleanup stepWhat leaves the device for cleanup
Apple DictationKeyboard settings tell you whether general text dictation is processed on your device (guide)Advanced dictation uses an on-device model on supported MacsNot described as leaving the device
Wispr FlowIn the cloud; "Dictation is transcribed in the cloud" (help)Part of the service: Flow "transcribes, formats and inserts your speech" (guide)Audio goes to the cloud for step 1
MonologueRemote by default; optional local mode on Apple silicon Macs"Smart formatting may still require a network connection" (docs)In local mode, the docs do not say exactly what the formatting step receives
SuperwhisperLocal or cloud voice model, per modeLocal or cloud language model, or none in Voice to Text modeText, if you choose a cloud language model
BetterDictationOn the MacOptional Pro step via OpenAI"your transcribed text (but not your audio)" (privacy policy)
SuprFlowOn the Mac, with a downloaded WhisperKit modelDefault: local cleanup of punctuation, capitalization and numbers; optional Cloud API or Local (Ollama)With Cloud API, transcript text and formatting instructions, not audio, go to the provider you configure

The same app can sit in different rows depending on settings. That is why "Is this app private?" has no single answer; "What does this setting send?" does.

What can the AI get wrong?

Speech recognition errors usually sound like what you said: "flour" for "flower". Cleanup errors can be harder to spot because the result reads well. Watch for four kinds:

  • Names. A rare surname "corrected" to a common word, or a client's name spelled the way the model expects.
  • Numbers. "Fifteen, not fifty" becoming "50", or a percentage turned into a different figure while tidying.
  • Negations. "Did not approve" becoming "approved", or "no exceptions" appearing where you said "two exceptions".
  • Rewritten meaning. A caveat dropped for brevity, a question turned into a statement, or a spoken self-correction applied to the wrong phrase.

For professional records, these are the errors that matter. What if an AI formatter changes an audit exception? walks through a correction workflow. If you need words exactly as spoken, look for a raw or verbatim setting and test it, because a label is not proof; Is SuprFlow's Voice to text mode really raw? shows how to check.

How do you check what an app sends?

Ask these questions of any AI dictation app, and look for answers on its own documentation or privacy pages:

  1. Where does speech recognition run in the mode you will use, and which model is it?
  2. Is there a cleanup step, is it on by default, and where does it run?
  3. Does the cleanup step receive audio or text?
  4. What context is added? Some apps read the active app, nearby text or the screen. Monologue, for example, documents an optional Deep context feature that uses screen capture permission (permissions and privacy).
  5. Which AI providers receive data, and on what terms? Look for named providers, retention, and whether data trains models. Superwhisper, for instance, says it uses providers through "API agreements that include zero-data-retention terms".
  6. Can you see the raw transcript next to the cleaned version, to compare?
  7. What else uses the network? Licence checks, updates, crash reports and telemetry are separate from your dictation, and a privacy policy should say what they contain.

Then test it. Dictate a harmless, fictional paragraph containing a name, a number and a negation, with Wi-Fi on and then off, and compare the results. Apple's Activity Monitor shows data sent and received while you dictate. A security team can go further with a network inspection tool. Where does my dictation go? maps the paths for SuprFlow specifically.

Questions people ask

Is AI dictation the same as speech recognition?

No. Speech recognition is step 1, turning audio into words. "AI dictation" usually adds a language model that edits those words, and the two steps can run in different places.

Does AI dictation send my voice to the cloud?

It depends on the app and the setting. Some apps recognise speech on the device and send only text for cleanup; others send audio. Check where each step runs before you dictate anything sensitive.

Can AI dictation change what I said?

Yes. The cleanup step is designed to change your wording, and it can change meaning by mistake, especially names, numbers and negations. Read the result before you send it.

Can I turn off the AI part?

Often, yes. Several apps offer a mode with no language-model step, or let you choose a local model for it. Test the setting with a sentence you know, rather than trusting the label.

Sources

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More how to
Put the guide to work

Make the first useful sentence.

Set up SuprFlow on your Mac, then try this guide in the app where you actually write.

  1. 01Download a speech model
  2. 02Dictate a harmless sample
  3. 03Check the text in its destination
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