Owll labels each participant in your transcript with names and timestamps, so decisions and commitments are always attributed clearly.
Owll labels each speaker throughout the transcript so your team can review decisions, objections, and commitments with precise attribution.
Owll detects distinct voices and maps them to participant names where available, with no manual setup required.
Filter transcripts by participant to quickly review what a decision-maker, client, or teammate actually said.
When Owll extracts tasks, each item stays linked to the speaker who made the commitment.
Owll's speaker identification feature uses audio diarization to detect and label individual voices in a meeting recording. Each speaker contribution is attributed by name in the transcript when participant data is available.
Speaker-attributed transcripts make it easier to review who proposed decisions, made commitments, or raised unresolved questions, and feed directly into Owll's action item extraction workflows.
Owll uses speaker diarization, an audio analysis process that detects distinct voices and labels them separately in the transcript. Speaker names are matched from meeting participant data where available.
Yes. Speaker identification is applied to uploaded audio files as well as live meeting recordings. Each distinct voice is labeled in the resulting transcript.
If a speaker cannot be matched to a participant name, Owll labels them as Speaker 1, Speaker 2, and so on. You can manually relabel speakers in the transcript editor.
Speaker identification is included in Owll's standard recording workflow. Visit owll.ai/pricing for plan-specific details.
Turn every conversation into clear notes and action items with Owll.
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