Can I diarize research interviews for free?

Yes. Upload a short clip and preview AudioPod's AI diarization free to see each participant isolated and labeled. Sign up to process longer sessions and download per-speaker tracks.

Does it work for focus groups with many voices?

Yes. Our speaker separation engine can identify and isolate up to around 10 distinct speakers, which covers most focus groups and group interviews.

How does it help my qualitative analysis?

You get a who-spoke-when timeline and an individual track per speaker, so you can attribute quotes accurately and code transcripts by participant without manual relabeling.

Free Speaker Separation

Academic researchers, UX researchers, and analysts working with interviews, focus groups, and field recordings.

Separate Speakers in Research Audio — Free

Diarize focus groups and field interviews into per-speaker tracks. AudioPod's AI diarization labels who spoke when so your qualitative analysis stays accurate.

Free to Start

AI-Powered

No Card Required

Separate Research Speakers Free

Explore Speaker Separation

Why use AudioPod Speaker Separation for academic researchers, ux researchers, and analysts working with interviews, focus groups, and field recordings.

Separate every participant in a focus group recording

Get a who-spoke-when timeline for coding and analysis

Isolate per-speaker tracks for hard-to-hear field audio

Attribute quotes to the right participant with confidence

Handle sessions with up to ~10 distinct voices

Frequently asked questions

Separate Research Speakers Free

Preview free; Creator at $20/mo unlocks longer recordings and per-speaker downloads for full research projects.

Separate Research Speakers Free

Free Speaker Separation

Academic researchers, UX researchers, and analysts working with interviews, focus groups, and field recordings.

Separate Speakers in Research Audio — Free

Diarize focus groups and field interviews into per-speaker tracks. AudioPod's AI diarization labels who spoke when so your qualitative analysis stays accurate.

Free to Start

AI-Powered

No Card Required

Separate Research Speakers Free

Explore Speaker Separation

Why use AudioPod Speaker Separation for academic researchers, ux researchers, and analysts working with interviews, focus groups, and field recordings.

Separate every participant in a focus group recording

Get a who-spoke-when timeline for coding and analysis

Isolate per-speaker tracks for hard-to-hear field audio

Attribute quotes to the right participant with confidence

Handle sessions with up to ~10 distinct voices

Frequently asked questions

Separate Research Speakers Free

Preview free; Creator at $20/mo unlocks longer recordings and per-speaker downloads for full research projects.

Separate Research Speakers Free