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Muse Voice Transcribe

Muse Voice Transcribe is Meta’s speech model, offered through the Meta Model API. In Ayumi it is a third cloud engine next to Gemini and Gemini Transcribe: it writes a transcript — no prompt — with speaker labels, turn timestamps, language hints and keyword biasing. You bring your own API key.

  1. Sign in to the Meta developer dashboard
  2. Create an API key for the Model API
  3. Set up billing — the transcribe endpoint refuses requests until a payment method is on the account
  4. Copy the key
  1. Open Transcription Settings
  2. Paste the key under Meta
  3. Star the built-in Muse Voice Transcribe profile to make it the default, or pick it per recording

The key under Meta is the provider’s base key. Every Muse profile uses it unless the profile sets an Override API Key of its own. Keys are stored securely in your device’s Keychain.

OptionWhat it does
Label SpeakersOne paragraph per speaker turn (**Speaker 1:** …). Muse separates 20 or more speakers.
Turn TimestampsA [mm:ss–mm:ss] range on each turn. Word-level times are not available from this model.
LanguagesHints for the model, chosen from the 25 languages it supports. Leave it on Automatic to detect.
KeywordsNames, jargon and product names the model might mishear, from a newline-separated Markdown file (for example in iCloud Drive), terms typed into the profile, or both. The same file works for Gemini Transcribe.

Keywords bias recognition but do not guarantee an exact spelling. Unlike Gemini Transcribe, keywords can be combined with speaker labels.

  • Recordings up to 10 minutes. Longer recordings are refused before anything is sent; use another engine for them.
  • Ayumi converts the recording to 16 kHz mono PCM on the device before upload, so a ten-minute recording stays under the API’s 32 MB request cap.
  • Pricing is per audio minute; see Meta’s pricing page.

When using a Muse profile:

  • Audio data is sent to Meta’s servers for processing
  • Ayumi shows a consent dialog before the first cloud transcription
  • No data is stored on Ayumi’s servers — the request goes directly from your device to Meta
  • See Meta’s terms for the Model API for how Meta handles API data