AI voice transcription, no cloud, on your Mac

AI voice transcription has become a reflex: you speak, the text appears. But behind most apps, your voice travels to remote servers. Vlocal does the opposite: all the processing stays on your Mac, with nothing sent out.

What AI voice transcription actually is

AI voice transcription is technology that turns speech into written text using a speech recognition model. The AI analyzes the audio signal, identifies the words, and returns a punctuated sentence, either in real time or from a file. People also call it audio transcription when the source is a recorded meeting rather than your live voice. The common shorthand is simply voice to text AI.

In practice, two families of use coexist. Local AI dictation inserts your voice as text wherever your cursor sits. Audio transcription takes a complete recording (a meeting, an interview) and produces a written record, ideally with a note of who is speaking.

The cloud problem

Most consumer AI transcription tools send your audio to remote servers for processing. That is convenient, but it raises three concrete limits:

• Privacy. Your dictated words, your internal meetings, and your sensitive notes pass through infrastructure you do not control.
• Network dependency. No reliable Wi-Fi, no transcription: on a train, on a plane, or in a poorly covered spot, a cloud tool drops out.
• Per-use cost. Many services bill by minutes or words, which penalizes heavy users.

Not every competitor sits in the same boat, and that nuance matters. Wispr Flow (sometimes written Whisper Flow) is built around cloud processing, so your audio leaves the device. Superwhisper, by contrast, can run fully on-device on Apple Silicon Macs with local Whisper models, so it is local AI transcription, not a cloud tool. The real question is therefore not "AI or not," but "where is your voice processed."

Local AI, transcribing without sending anything

Local AI transcription changes the equation: the speech recognition model runs directly on your machine. Nothing leaves your Mac. That is exactly what Vlocal does by tapping into the GPU of Apple Silicon chips.

The M1 to M5 chips carry a GPU and a Neural Engine capable of running capable AI models in a few seconds. Vlocal uses this hardware acceleration to deliver fast, fully offline AI speech recognition on Mac:

• Zero upload. No audio and no text leaves the device. No cloud, no third-party account storing your recordings.
• Real offline. Voice transcription works with no connection, anywhere, including in airplane mode.
• Short latency. Dictated text inserts in 1 to 2 seconds, straight at the cursor.

Two uses: dictation and meetings

Vlocal covers both big needs of AI voice transcription, with a dedicated page for each.

Voice to text AI at the cursor

You hold Ctrl+Cmd, you speak, and the text inserts where you are writing: in Mail, Notes, Slack, your word processor, your code editor. This is local AI dictation for everyday work, with no copy and paste. More on the Voice dictation Mac page.

Meeting transcription

Vlocal also transcribes a meeting recording and tries to identify who speaks when (diarization). This audio transcription feature is in beta, as it is with most players on the market: it is useful but worth reviewing. More on the Meeting transcription page.

Local AI means no per-use cost

When the processing stays on your Mac, there is no one to pay for each transcribed minute. No API call, no token consumed, no tier to watch. So Vlocal does not bill by quota or by word.

Whether you dictate ten lines or transcribe a one-hour meeting, the cost is the same: your subscription. For heavy use, that is a clear advantage over cloud tools that charge by consumption.

Going further with local AI

Transcription is only one building block. Once your voice becomes text, you can process it with other local AI tools, without ever going back through the cloud. Tools like LM Studio let you run a large language model directly on your Mac, to summarize a meeting record or rephrase a dictation.

This step stays optional and independent of Vlocal: the point is simply to show that a "speech to text to synthesis" chain can stay 100% local, from the microphone to the summary.

Compatibility and price

Vlocal is a macOS app for Apple Silicon Macs (M1 to M5 chips), on macOS 11 or newer. It handles English and French, with voice reminders in French. It is not compatible with Windows or with Intel Macs, since it relies on Apple Silicon acceleration.

On pricing: EUR 3.99/month or EUR 34.99/year, via Stripe, cancel anytime and refunded within 14 days. The current version is 1.0.13.

Frequently asked questions