Speaker Separation — label speakers in multi-speaker audio
Upload a recording. This AI speaker separation splits multi-speaker audio into a labeled transcript. You still rename Speaker 1, then download isolated stems or export txt and srt.
What Speaker Separation can do
- Transcribe multiple speakers into a labeled transcript (diarization)
- Rename speakers; names carry into the transcript and downloads
- Download isolated per-speaker audio stems
- Timestamped transcripts you can copy or export as txt or srt
- Supports MP3, WAV, M4A, FLAC, OGG, WebM audio files
- Works with meetings, interviews, and podcasts
Who uses Speaker Separation
Journalists
Run speaker separation to transcribe multiple speakers so each voice is labeled before you write.
Podcast editors
Download isolated speaker stems and a labeled multi-speaker transcript for easier post-production.
Interview notes
Turn a multi-speaker recording into a working labeled transcript. You still rename Speaker 1 and review — this is not a certified record.
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Frequently asked questions
What does this speaker separation do?
It transcribes multiple speakers. Diarization labels each voice in a timestamped transcript. You still rename Speaker 1, then download isolated stems or export txt or srt.
Can this AI do multi speaker separation?
Yes. This AI speaker separation labels each voice in multi-speaker audio. You still rename Speaker 1 and review overlaps. Export txt, srt, or isolated stems. Guest runs are free (2/day). Working labeled transcript, not a certified record.
Do I need an account to try speaker separation?
No. Guest runs are free (2/day) and do not need an account. Sign up later if you want to keep results and start with credits.
Can AI transcribe multiple speakers?
Yes. This speaker separation transcribes multiple speakers into a working labeled transcript (Speaker 1, Speaker 2). You still rename the labels and review overlaps. It is not a certified legal record. Export txt, srt, or isolated stems. Guest runs are free (2/day).
What does an audio diarization tool do?
It splits a multi-speaker recording and labels who said what (speaker diarization). Labels start as Speaker 1 / Speaker 2; you rename and review. Isolated stems are optional extra files, one voice each. See the speaker diarization guide at https://www.agentleverage.co/blog/ai-speaker-diarization-guide-2025
What's the difference between diarization and isolated stems?
Diarization labels who said what in the transcript. Isolated stems are separate audio files for each speaker, cut from the original recording. One run gives you both.
Is this a certified transcript?
No. You get a working labeled transcript. You still rename Speaker 1 and check turns when people talk over each other. Do not treat it as a certified legal or medical record.
Can I paste the labeled transcript into my CRM or notes?
Yes. Export txt or srt after you rename Speaker 1, then paste the labeled lines into your CRM or notes tool. There is no direct CRM sync, so the paste is still a manual step.
Do I have to relabel Speaker 1 before I paste into CRM notes?
Yes. Rename each speaker to a real name before you export. Txt and srt exports keep whatever labels are on the transcript when you download it, so an unrenamed export still reads Speaker 1, Speaker 2 in your CRM.
Does this save me from retyping who said what into meeting notes?
Yes. The transcript already sorts each line by speaker, so you copy attributed text instead of relistening to the recording to figure out who said what before you type notes.
Ready to try Speaker Separation?