Automatic Speaker Identification
Intelligently identifies and labels different speakers in your audio automatically.
Our advanced speaker diarization technology automatically detects and separates different speakers in your audio files. The system identifies unique voice patterns and assigns labels like "Speaker 1", "Speaker 2", etc., making it easy to follow conversations, interviews, and multi-person discussions. The technology works best with clear audio and distinct voices, but can handle challenging scenarios like overlapping speech and similar-sounding voices. Perfect for interviews, panel discussions, meetings, and any content with multiple participants.
Key Benefits
- Automatic speaker detection and labeling
- Works with 2-10+ speakers in a single recording
- Handles overlapping speech and interruptions
- Maintains speaker consistency across long recordings
- Export with speaker labels in all formats
Use Cases
- Interview transcripts with clear speaker attribution
- Panel discussions and roundtable conversations
- Meeting recordings with multiple participants
- Podcast episodes with co-hosts and guests
- Legal depositions and witness statements
Technical Details
Uses advanced voice activity detection (VAD) and speaker embedding models. Accuracy improves with longer recordings and clearer audio separation.