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Audio · Speech-to-text · Released Sep 2026

Meta Muse Voice Transcribe 1.0

Meta's speech-to-text model for push-to-talk and speaker-aware transcription, which returns plain text.

From Meta, Muse Voice Transcribe 1.0 is a cloud speech-to-text model. It transcribes spoken audio into written text. It runs through OpenRouter using your own API key, from about $0.003 per minute of audio.

Modality
Audio
Available on
Model ID
meta/muse-voice-transcribe-1.0
Specs
Released
Sep 2026
Pricing
$0.003 per minute of audio
Type
Speech-to-text
Real outputs

Samples

Transcribed by Muse Voice Transcribe 1.0 via OpenRouter. The same three clips go to every speech-to-text model in the catalog, so the only thing that changes between two models’ transcripts is the model. The clips are synthetic speech made with ElevenLabs v4, and a word that differs from the spoken script is underlined. The numbers clip is left unmarked, since “12” and “twelve” are both right.

Plain dictation

Baseline accuracy and punctuation on clean speech

0:00 / 0:10

Thanks for joining on such short notice. We moved the launch to Thursday, so could you send me your notes before lunch? I will share the final schedule with everyone tomorrow morning.

TranscriptMatches the script

Thanks for joining on such short notice. We moved the launch to Thursday, so could you send me your notes before lunch? I will share the final schedule with everyone tomorrow morning.

Numbers and names

How dates, amounts, units and a surname are written out

0:00 / 0:19

Invoice 4471 is due on March 3rd, 2027. The total comes to $1,249.50 for 12 units, and the parcel weighs 2.5 kilograms. Please call Dr. Elena Markovic at 9:45 a.m. to confirm.

Transcript

Invoice 4471 is due on March 3rd 2027. The total comes to $1,249.50 for 12 units and the parcel weighs 2.5 kilograms. Please call Doctor Elena Markovich at 9 45 AM to confirm.

Two speakers over noise

Background noise, a second accent, speaker changes

0:00 / 0:13

Excuse me, is this seat taken? No, go ahead. Are you heading to the conference as well? I am. Do you know which stop it is? The one after the river, I think. We can walk over together.

TranscriptMatches the script

Excuse me, is this seat taken? No, go ahead. Are you heading to the conference as well? I am. Do you know which stop it is? The one after the river I think. We can walk over together.

About the creator

Meta

Meta's FAIR and GenAI labs build the open-weight Llama family of language models — among the most widely used open models for local inference.

ai.meta.com ↗
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