AI separates every speaker in your meeting and transcribes what each person said — with names, timestamps, talk-time analytics, and speaker filtering.
Speaker diarisation runs alongside transcription — analysing voice characteristics in real time to attribute each sentence to its speaker before the meeting ends.
Speaker diarisation changes how teams use recordings — from passive archives to active intelligence tools.
Separate the rep's pitch from the client's responses. Analyse what the client actually said — not the mixed conversation. Coach reps on talk-time ratio and objection handling.
Every statement attributed to the specific person who made it. Disputes about who said what are resolved by searching the speaker-filtered transcript instantly.
Candidate answers separated from interviewer questions automatically. Hiring teams review only the candidate's responses without filtering through the full transcript.
Board meetings, client reviews, and partner calls with 6+ participants all produce clearly attributed transcripts — no confusion about who proposed what.
Focus groups and panel interviews produce a transcript where every participant's input is individually attributed. Researchers analyse responses by participant without manual separation.
Multi-guest podcasts and panel discussions transcribed with each speaker clearly labelled. Producers get show notes with accurate speaker attribution automatically.
Accurate speaker-separated transcripts for every meeting, automatically.