What Happens to My Audio After I Dictate?

Short answer: With on-device dictation, your audio is turned into text right on your Mac and is never uploaded. It exists only long enough to produce the transcript, then it is gone. With cloud dictation, your recording is sent to a remote server, where it may be stored, logged or used to improve models. BlaBlaType keeps every word on-device.

The two paths your voice can take

Every dictation tool follows one of two routes the moment you stop speaking. Either the audio stays on your machine and a local model reads it, or the audio leaves your machine and a server reads it. This single fork decides everything else: privacy, offline support, latency, and who could ever see your words. Understanding it is the fastest way to answer "what happens to my audio" for any speech to text app you try.

If you are weighing this for the first time, our deeper look at whether Mac dictation is private walks through the same fork with concrete examples.

What actually happens with on-device dictation

When dictation runs locally, the pipeline is short and stays inside your Mac. The microphone captures a buffer of audio, a voice model such as Whisper or Parakeet converts it into words, an optional on-device AI pass cleans up filler and punctuation, and the finished text is inserted where your cursor sits. The raw audio is held in memory only for the seconds it takes to transcribe. There is no recording file queued for upload, because there is no upload.

BlaBlaType works this way for the whole flow, in any app or text field, so the same privacy applies whether you are drafting an email, a note, or a message. That is also why it keeps working with no internet: nothing depends on a server round trip. If you want to see it applied to a real task, here is how people dictate straight into Apple Notes without anything leaving the machine. The open model behind fast local transcription is documented publicly, for example NVIDIA's Parakeet model card.

What happens with cloud dictation

Cloud dictation reverses the last step. Your audio is packaged and sent over the internet to the provider's servers, transcribed there, and the text is sent back. That works well and is often accurate, but it hands control of your recording to someone else. The provider's privacy policy, not your Mac, now decides whether the audio is logged, how long it is retained, whether staff can review it, and whether it feeds future model training. None of that is inherently sinister, but it is a different trust model, and you cannot verify it from your side.

Why this matters for real work

The audio question stops being abstract the moment your words are sensitive. Client notes under an NDA, a legal draft, medical wording, passwords read aloud, or a private message you are dictating into a chat: in each case the difference between "processed on my Mac" and "uploaded to a server" is the whole ballgame. It is the same reason people prefer local processing when they dictate a WhatsApp message from their Mac instead of typing it out.

It matters for accessibility too. People who lean on voice input all day, including many who use voice to text for ADHD, are effectively narrating their thoughts. Keeping that stream on-device means a personal thinking tool never doubles as a data feed. Advocacy groups such as the British Dyslexia Association highlight how central assistive text tools have become, which makes their privacy properties worth checking.

On-device vs cloud, at a glance

After you dictate	On-device (BlaBlaType)	Cloud dictation
Audio uploaded to a server	No	Yes
Recording stored long-term	No, discarded after use	Set by provider
Could feed model training	No	Possible
Works with no internet	Yes	No
Who controls retention	You	The provider

There is no word limit or per-minute meter on local dictation either, which is a nice side effect of not paying a server to listen. That is a big reason people look for a dictation app with no word limits in the first place. You can compare what a local-first plan looks like on the pricing page.