# Diarization

Learn how Speechmatics diarization separates speakers in audio

**Available in:** Batch, Realtime, Agent STT. Agent STT supports speaker diarization only, not channel diarization.

Use Speechmatics' **Diarization** to separate a transcript into distinct speakers or channels, so you can clearly see who said what.

It’s especially useful in conversations, meetings, interviews, or multi-channel recordings where keeping track of each voice matters. By labeling speakers or channels, diarization makes transcripts easier to read, analyze, and share.

## Use cases[​](#use-cases "Direct link to Use cases")

* **Call centers** – Identify agents and customers for training, compliance, and quality assurance.
* **Video conferences** – Track who said what in multi-participant discussions.
* **Medical consultations** – Capture conversations between doctors and patients with clear speaker labels.
* **Media production** – Make multi-speaker audio easier to edit, search, and annotate.

## Diarization modes[​](#diarization-modes "Direct link to Diarization modes")

Speechmatics offer the following diarization modes:

* **Speaker diarization** — Identifies each speaker by their voice.<br /><!-- -->Useful when there are multiple speakers in the same audio recording.

* **Channel diarization** — Transcribes each audio channel separately.<br /><!-- -->Useful when each speaker is recorded on a separate audio channel.

* **Channel & speaker diarization** — Transcribes each channel separately and also identifies individual speakers within each channel.<br /><!-- -->Useful when multiple speakers are recorded across multiple channels. Available with Realtime diarization only.

These modes can be used with our Realtime or Batch APIs:

**[Realtime diarization](/speech-to-text/realtime/realtime-diarization.md)**<br />Used for live, streaming audio. Ideal for scenarios like video conferencing, real-time captions, and conversational AI.

**[Batch diarization](/speech-to-text/batch/batch-diarization.md)**<br />Used for pre-recorded audio files. Great for scenarios like call recordings, podcasts, and long-form interviews.