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Speaker diarization answers the question "who said what". RealtimeVoiceKIT separates voices automatically and labels each one, even on overlapping conversations, so multi-person interviews, panels, and calls stay easy to read, quote, and attribute.
Great for
Interviews
Keep questions and answers cleanly attributed to each person.
Panels & meetings
Track every participant across a long, multi-voice conversation.
Legal records
Produce speaker-attributed transcripts for the record.
Podcasts
Label hosts and guests automatically for show notes and clips.
What's included
How it works
Upload
Add a multi-speaker audio or video file, or paste a URL.
AI separates voices
Each speaker is detected and labeled automatically as it's transcribed.
Rename & export
Rename speakers once and export labeled text, SRT, or VTT.
Frequently asked questions
What is speaker diarization?
Speaker diarization is the process of detecting how many people are speaking and labeling which speaker said each segment, the "who said what" of a transcript.
Does it work with overlapping speakers?
Yes. The AI separates and labels voices even when conversations overlap, then you can rename speakers as needed.
Can I edit the speaker labels?
Yes. Rename a speaker once and the label updates across the entire transcript and every export.
Is diarization included for free?
Yes. Speaker labels are included on the Free plan along with 10 transcription minutes every month.