Skip to content
How to · Mac voice writing

On-device speech recognition explained: what runs locally, and what doesn't

What on-device speech recognition means, what Apple documents about local recognition on the Mac, which parts of an app still use the network, and how to check.

On-device speech recognition means the speech model runs on your own computer's chips, so your audio is turned into text without being uploaded to a speech server. Cloud recognition sends the audio to a provider's servers and returns text. On-device does not mean the app never uses the internet: the model has to be downloaded first, and apps may still check licences, fetch updates or send usage data. On a Mac, Apple documents on-device recognition both for its own Dictation and for developers using its Speech framework.

What actually happens on the device?

Local speech to text follows the same steps as cloud recognition. The difference is where they run.

StepOn-deviceCloud
CaptureMicrophone audio is recorded into memory on your MacSame
ModelA model file stored on your disk is loaded into memoryThe model lives on the provider's servers
RecognitionRuns on your CPU, GPU or Neural EngineAudio is uploaded; recognition runs remotely
ResultText is produced on your MacText is sent back over the network
Needs a connection while dictatingNo, once the model is presentYes
LimitsYour Mac's memory and speedThe provider's limits and terms

On Apple Silicon, open-source runtimes say which chip does the work. The whisper.cpp README says "On Apple Silicon, the inference runs fully on the GPU via Metal," with optional Core ML to run the encoder on the Apple Neural Engine. Argmax's WhisperKit describes itself as one of a "collection of turn-key on-device inference frameworks." How speech recognition works explains what the model itself does.

What does Apple document about on-device recognition?

For people using Dictation. Apple's Mac User Guide for macOS 14 says: "On a Mac with Apple silicon, Dictation requests are processed on your device for supported languages—no internet connection is required." It adds that "When you dictate on an Intel-based Mac or in a language that doesn't support on-device dictation, your dictated utterances are sent to Apple," and that in a search box, "dictated text may be sent to the search provider." The current guide for macOS 27 tells you instead to check Keyboard settings "to see whether your voice inputs and transcripts for general text Dictation ... are processed on your device and not sent to Siri servers." Apple's feature availability page lists the languages for "On-Device and Modeless Dictation" with the note "Requires download of speech models." Is Mac Dictation private? walks through the setting.

For developers. Apple's Speech framework documentation is precise about the network:

  • supportsOnDeviceRecognition "indicates whether the speech recognizer can operate without network access." If it is false, "the SFSpeechRecognizer requires a network in order to recognize speech."
  • requiresOnDeviceRecognition lets an app "prevent an SFSpeechRecognitionRequest from sending audio over the network." Apple adds: "However, on-device requests won't be as accurate."
  • The SFSpeechRecognizer page says "For some languages, the recognizer might require an Internet connection," and, describing server use, plans for "a one-minute limit on audio duration."
  • From macOS 26, the newer SpeechAnalyzer API uses models that AssetInventory describes as "machine-learning models downloaded from Apple's servers and managed by the system." Once downloaded, "the system retains and updates it automatically, and shares it with other apps."
  • Its DictationTranscriber "uses the same speech-to-text machine learning models as system dictation features do, or as SFSpeechRecognizer does when it is configured for on-device operation," and "does not support languages or locales that SFSpeechRecognizer only supports via network access."

Two lessons follow. Even Apple's on-device recognition starts with a model download. And an app built on Apple's framework only stays local if the developer asks for it and your language supports it.

What still uses the network in a typical local dictation app?

Local recognition answers one question: where does the audio become text? A dictation app can make other connections that have nothing to do with recognition.

Network useTypical purposeCarries your audio?
Model downloadFetching the speech model on first setup or when you switch modelsNo, it is a download
Account or licence checkConfirming you have paidShould not, but ask the vendor
App updatesChecking for and downloading new versionsNo
Usage or crash dataTelling the developer how the app is used or why it failedAsk what fields are sent
Optional cloud formatting or AI rewriteSending the transcript text to a language model for cleanupUsually the text, sometimes more; check
The app you dictate intoYour email, notes or documents may sync to their own cloudYour finished text, under that app's terms

Does on-device dictation mean no internet? goes through these one by one, and Where does my dictation go? lists the questions to ask a vendor.

How do you verify that recognition is local?

  1. Read the settings. For Apple Dictation, open System Settings → Keyboard → Dictation and read the text under the setting (wording from the macOS 27 guide; if your screen differs, search System Settings for "Dictation"). For other apps, look for any cloud, online or "enhanced" recognition option and note whether it is on.
  2. Download the model while connected. Then quit and reopen the app.
  3. Turn Wi-Fi off and unplug Ethernet. Dictate a fictional sentence: "Send the 12 May note to Dana Ruiz, not Dan Reese." If text appears, recognition ran locally.
  4. Watch the network. In Activity Monitor, click Network; Apple's Activity Monitor guide describes the packets and data totals shown at the bottom of the window. Reconnect, dictate again and see whether the app's network figures move while you speak.
  5. Repeat after updates. A new version can change behaviour.

A working offline test proves the recognition path. It does not tell you what the app sends when it is online; for that, ask the vendor or inspect the traffic with a tool you trust.

How does SuprFlow handle this?

SuprFlow 1.0.0 runs speech recognition on the Mac with a downloaded WhisperKit (Whisper) model, offered in Small and Medium, multilingual and English-only. Its Default formatting is local cleanup of punctuation, capitalization and numbers. An optional Cloud API formatting mode sends the transcript text, not the audio, to the provider you configure. Account and licence checks, model downloads, app updates and usage telemetry are separate network traffic, so SuprFlow is local speech, not a no-network app. SuprFlow offline licence grace covers how long it keeps working without a connection.

Questions people ask

Is on-device speech recognition less accurate than cloud?

Sometimes. Apple's developer documentation says that when an app forces on-device recognition with its older SFSpeechRecognizer API, "on-device requests won't be as accurate." For other models it depends on the model, not where it runs: a large model on your Mac can beat a small cloud one. Test on your own voice.

Does Apple Dictation work offline on a Mac?

Apple's macOS 14 guide says that on Apple silicon, Dictation is processed on device for supported languages with "no internet connection is required." On current macOS, check Keyboard settings, which tell you whether your dictation is processed on the device.

Does on-device mean private?

It means the audio is not sent to a speech server for recognition. Privacy also depends on what else the app sends, what it stores locally, and where the app you dictate into syncs your text.

Do I need the internet to set up local speech to text?

Usually yes, once. Apple's on-device dictation and its developer models need a speech-model download, and local-model apps download their model on first setup.

Sources

Keep going

Read next

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
SPECIAL OFFER$29 once Original price: $125

One license. Up to 5 Macs you own.Special offer, down from $125.Apple Silicon · macOS 14+

Get SuprFlow for Mac

7-day no-questions-asked refund on your first purchase. Contact support within seven days for a full refund. Read the refund terms ↗