Speech to Text

Speech to text turns recorded files and live audio into text, with speaker labels, timestamps, and custom vocabulary. This page helps you choose the mode, the model, and the features that fit your application.

Choose your mode

Choose your mode

Start from the audio you have. Each case has its own page, and a quickstart to make a first call:

  • Transcribe a recorded file (offline). Send a call recording, a meeting, or a podcast episode in one request, and get the full transcript, with timestamps and speaker labels if you ask for them. Read File transcription, or start with the quickstart.
  • Transcribe live audio (realtime). Stream audio from a microphone or a phone line over a WebSocket, and get the text while people speak, with events that mark the end of each turn. Read Realtime transcription, or start with the quickstart.
  • Answer by voice (voice agent). When your application talks back, a voice agent runs realtime transcription, a model, and speech for you. Read Voice agents, or start with the quickstart.
Tip
Choose your model

Choose your model

Once you know the mode, the model is a small choice: realtime has one model, and offline has two. Start from what you need:

If you needUseWhy
Text while people speakVoxtral Mini Transcribe Realtime 3It's the realtime model: sessions, turn detection, and a streaming delay that you set.
Transcripts of recorded filesVoxtral Mini Transcribe 3It supports every offline feature. Start with it.
Higher-quality transcripts of recorded filesVoxtral Small Transcribe 3A larger model. Switch to it when the transcripts still have errors that custom vocabulary doesn't fix.
Answers about a recording, such as a summary or a translationAudio in chat completionsA chat model that hears the audio and answers in text. At launch, use voxtral-small-latest (Voxtral 2).
Caution
Features by mode

Features by mode

The mode decides which features you can use. Each feature links to the page with its settings:

FeatureOfflineRealtime
Speaker labels (diarization)Yes, with segment timestampsYes
Speaker referencesYes, with diarization
Context biasingYesYes
Language, see the supported languagesPin it, or let the model detect itPin it in the session configuration, or let the model detect it
Segment timestampsYes, per segment. Word timestamps aren't available.No: realtime segments carry a speaker label, but no start or end time. You can infer the end time from the frame alignment (if a word is emitted at 480ms with a 240ms delay, it ended at 240ms).
Turn detectionNoYes
Streaming responseYes: the text of a complete file arrives in piecesNot applicable: results always arrive as events
Caution

Diarization and turn detection can't share a realtime session: a session that sets both returns an error. Both work in realtime, in separate sessions. For details, see Diarization and turn detection.

Next steps

Next steps