What is speaker diarization?

Speaker diarization is the process of detecting who spoke when in an audio file. AudioPod's AI diarization separates each voice, labels its segments, and produces an individual track per speaker.

Can I diarize audio for free?

Yes. Upload a short clip and preview the labeled who-spoke-when timeline free. Sign up to diarize longer files and download per-speaker tracks for your transcription workflow.

How accurate is the speaker labeling?

Our speaker separation engine distinguishes up to around 10 voices and aligns each segment on a timeline, giving you reliable speaker attribution to clean up before or during transcription.

Free Speaker Separation

Transcriptionists, qualitative analysts, and note-takers who need speaker-attributed transcripts from multi-voice audio.

Speaker Diarization for Cleaner Transcription — Free

Add accurate speaker labels to your transcripts. AudioPod's AI diarization separates each voice and tags who spoke when so your transcription reads clearly.

Free to Start

AI-Powered

No Card Required

Diarize Audio Free

Explore Speaker Separation

Why use AudioPod Speaker Separation for transcriptionists, qualitative analysts, and note-takers who need speaker-attributed transcripts from multi-voice audio.

Tag every line with the correct speaker automatically

Get a who-spoke-when timeline to align with your text

Isolate per-speaker tracks for hard-to-hear passages

Reduce manual relabeling and guesswork in transcripts

Handle group recordings with up to ~10 distinct voices

Frequently asked questions

Diarize Audio Free

Preview free; Creator at $20/mo unlocks longer files and per-speaker downloads for full transcription jobs.

Diarize Audio Free

Free Speaker Separation

Transcriptionists, qualitative analysts, and note-takers who need speaker-attributed transcripts from multi-voice audio.

Speaker Diarization for Cleaner Transcription — Free

Add accurate speaker labels to your transcripts. AudioPod's AI diarization separates each voice and tags who spoke when so your transcription reads clearly.

Free to Start

AI-Powered

No Card Required

Diarize Audio Free

Explore Speaker Separation

Why use AudioPod Speaker Separation for transcriptionists, qualitative analysts, and note-takers who need speaker-attributed transcripts from multi-voice audio.

Tag every line with the correct speaker automatically

Get a who-spoke-when timeline to align with your text

Isolate per-speaker tracks for hard-to-hear passages

Reduce manual relabeling and guesswork in transcripts

Handle group recordings with up to ~10 distinct voices

Frequently asked questions

Diarize Audio Free

Preview free; Creator at $20/mo unlocks longer files and per-speaker downloads for full transcription jobs.

Diarize Audio Free