Muse Voice Transcribe
Muse Voice Transcribe is Meta Superintelligence Labs' September 1, 2026 real-time audio perception model.
Provider
Meta
Model family
Meta Muse Audio
Speech-to-text transcription model
Cost tier
Transcribe
Status
Current
Release Sep 1, 2026
Why teams choose it
Meta bills $0.18 per hour of audio processed for streaming and file transcription
There is no contributor/training-discount tier at launch.
Rate limits are 8 concurrent streams and 1,000 streams per hour
The model returns transcript text only: no speech synthesis
no word-level timestamps, and no emotion or sound-event labels.
Tradeoffs to know
- Meta recommends 25 extensively verified languages at launch even though training covers 70+.
- It is not a speech-to-speech or TTS API.
- Vendor Artificial Analysis ranking claims should be remeasured on your audio domain.
Benchmarks
No independent or vendor benchmark scores in this catalog entry.
Technical specs
- Inputs
- audio
- Outputs
- text
- License
- Proprietary API
- API ID
muse-voice-transcribe-1.0- Capabilities
- speech-to-text
- streaming transcription
- file transcription
- speaker diarization
- endpointing
- code-switching
- keyword biasing
- multilingual ASR
Sourcehttps://research.meta.ai/blog/introducing-muse-voice-transcribe
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Muse Voice Transcribe FAQ
What is Muse Voice Transcribe?
Muse Voice Transcribe is Meta Superintelligence Labs' September 1, 2026 real-time audio perception model. The API ID is muse-voice-transcribe-1.0. It does streaming ASR with adaptive delay, speaker diarization for 20+ speakers, and native endpointing. Access is via Meta Model API (WebSocket realtime and file POST /v1/asr/transcribe), Meta AI for Mac, and Muse Code dictation.
When does Muse Voice Transcribe fit best?
Live voice agents and captioning
What should teams watch out for with Muse Voice Transcribe?
Meta recommends 25 extensively verified languages at launch even though training covers 70+.
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