Muse Voice Transcribe real-time speech-to-text guide
Find Meta's muse-voice-transcribe-1.0 model, API pricing, language coverage, live transcription, speaker diarization, and endpointing facts. This is an independent guide and is not affiliated with Meta.
Unofficial disclosure: musevoicetranscribe.site is not an official Meta, Meta AI, or Meta Superintelligence Labs website.
What is Muse Voice Transcribe?
Muse Voice Transcribe is a real-time audio perception model from Meta Superintelligence Labs for streaming speech recognition, speaker diarization, and endpointing. It is designed to work while audio is still arriving, not only after a full recording is uploaded.
Public Meta materials describe access through Meta Model API, Meta AI for Mac, and Muse Code. This site summarizes those public facts and provides an independent browser transcription experience.
Turn your voice into text now
Speak naturally, see words appear in real time, then copy or download a clean transcript.
Select a language, then allow microphone access to begin.
One model, three live signals
Meta combines transcription, speaker identity, and turn boundaries in one streaming model rather than stitching together separate post-processing systems.
Listen longer, or emit now?
For every 80ms audio chunk, the model chooses whether to keep listening for context or emit text. Adaptive delay changes that wait dynamically based on difficulty.
80ms audio chunk
A compact audio representation enters the stream.
Listen or emit
The autoregressive model asks for more audio or returns text.
Adaptive delay
Harder words get more context; easier words arrive sooner.
Rankings move. Sources should not.
Meta reported Muse Voice Transcribe ranked first on Artificial Analysis streaming speech-to-text and public diarization benchmarks at launch. That claim is explicitly dated September 1, 2026.
See benchmark methodologyQuick checks on access, pricing, and limits
No. This is an independent guide and browser transcription utility. Treat Meta AI Research and current Meta Model API documentation as the source of truth for model capabilities.
This site does not sell API credits. Meta lists Muse Voice Transcribe on Meta Model API at $0.18 per audio hour; Meta AI for Mac and Muse Code access should not be read as API billing documentation.
Developers should evaluate muse-voice-transcribe-1.0 through Meta Model API docs. Non-developers can follow the Meta AI for Mac dictation path where Meta says the model is already used.
Meta says Muse Voice Transcribe powers dictation in Meta AI for Mac and Muse Code. Region, account, and product availability should be checked in Meta's current product pages.
Meta says the model is trained on 70+ languages, with 25 extensively verified at launch, and supports multilingual speech and in-sentence code-switching.
Muse Voice Transcribe is positioned for real-time streaming ASR with diarization and endpointing in one model. Whisper is often used for batch transcription and self-hosted workflows; the right choice depends on latency, privacy, cost, and deployment needs.
Research sources
Start with primary sources, not marketing numbers.
Model capabilities are grounded in Meta AI Research and current developer documentation; third-party measurements are labeled and dated.
Open the official announcement