Meta Launches Muse Voice Transcribe for Real-Time Mac Dictation
Meta is launching Muse Voice Transcribe for Mac and developers. The new AI model provides real-time, multilingual dictation and speaker separation.
What happened?
Meta Superintelligence Labs has launched Muse Voice Transcribe, the company's first model for real-time voice perception. The AI model combines streaming automatic speech recognition (ASR) with speaker diarization and endpointing—the identification of when a speaker stops talking. The model is integrated into Meta AI for Mac and is made available to developers via the Meta Model API and Muse Code.
Key facts
| Lanseringsdatum | 1 september 2026 |
|---|---|
| Utvecklare | Meta Superintelligence Labs |
| Validerade språk | 25 språk (tränad på över 70) |
| Plattformar | Meta AI för Mac, Muse Code, Meta Model API |
Why it matters
Performing speaker separation and endpointing directly within the streaming AI model eliminates the need for separate post-processing. This allows for instantaneous and highly accurate transcription during ongoing calls or meetings, challenging existing transcription tools and native operating system dictation features.
Who is affected?
The tool is aimed at Mac users seeking system-wide, real-time dictation, as well as developers building applications that require multilingual voice processing, voice control, or automated meeting minutes with minimal latency.
Impact on the EU
Meta AI's new voice transcription model is being released globally via the Meta Model API and Meta AI for Mac, making it available to developers and users within the EU from launch.
What else you should know
The model has been trained on over 70 languages, 25 of which are fully validated at launch. It supports continuous audio input for over an hour and seamless code-switching mid-sentence without a loss in performance.
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