Nexogen AI
Speaker Diarization
Last updated: 6/29/2025
Speaker diarization automatically identifies and labels different speakers in your audio recordings. This powerful feature helps you distinguish between multiple speakers, making it perfect for meetings, interviews, panel discussions, and any multi-speaker content.
Audio Analysis
Your audio is analyzed to identify unique voice patterns and characteristics of each speaker.
Speaker Detection
The system automatically detects when different speakers are talking and assigns unique labels to each.
Transcription with Labels
Each word and sentence is transcribed with precise speaker labels and timestamps for easy reference.
Customization Options
Customize speaker names, adjust detection sensitivity, and fine-tune the results to match your needs.
Multi-Speaker Support
Accurately identify and label multiple speakers in any recording
Precise Timestamps
Every speaker change is marked with exact timing for easy navigation
Custom Speaker Names
Replace generic labels with actual names for better readability
Secure Processing
Your audio and speaker data are processed securely with optional encryption
Cloud Storage
Save speaker-labeled transcriptions to cloud storage for easy access
Multiple Formats
Export with speaker labels in PDF, TXT, JSON, and other formats
Business Meetings
Track who said what in team meetings, client calls, and conference calls for better follow-up and accountability.
Interviews & Podcasts
Distinguish between interviewer and interviewee, or multiple guests in podcast recordings.
Legal Proceedings
Accurately attribute statements to specific speakers in depositions, court hearings, and legal consultations.
Panel Discussions
Identify different panelists and moderators in conferences, webinars, and group discussions.
Medical Consultations
Distinguish between healthcare providers and patients for accurate medical documentation.
Educational Content
Track multiple instructors, students, and participants in educational recordings and training sessions.
Detection Settings
Automatic Detection
- • Automatically identify all speakers
- • Assign generic labels (Speaker 1, Speaker 2, etc.)
- • Optimized for most recording scenarios
- • Works with 2+ speakers
Custom Configuration
- • Specify expected number of speakers
- • Adjust detection sensitivity
- • Set minimum speaker duration
- • Fine-tune for specific scenarios
Speaker Management
Custom Names
- • Replace generic labels with real names
- • Add speaker roles or titles
- • Maintain consistency across recordings
- • Export with custom speaker names
Speaker Profiles
- • Save speaker information for reuse
- • Quick speaker identification
- • Consistent labeling across projects
- • Team collaboration features
Example Output:
[00:00:05] Speaker 1: Welcome everyone to today's meeting.
[00:00:08] Speaker 2: Thank you for organizing this.
[00:00:12] Speaker 1: Let's start with the agenda items.
Format Options
- • PDF with speaker labels and timestamps
- • Plain text with speaker indicators
- • JSON with detailed speaker metadata
- • CSV for data analysis
Additional Features
- • Speaker time statistics
- • Turn-taking analysis
- • Speaker overlap detection
- • Export speaker segments separately
Transparent Pricing
Speaker diarization adds a small additional cost per minute to your transcription, clearly shown before processing.
Processing Time
Speaker identification adds minimal processing time to your transcription, typically just a few extra minutes.
Accuracy
High accuracy speaker detection works best with clear audio and distinct speaker voices.
Recording Quality
- • Use high-quality microphones for each speaker
- • Minimize background noise and echo
- • Ensure speakers don't talk over each other
- • Maintain consistent audio levels
Getting Better Results
- • Specify the expected number of speakers
- • Use custom speaker names for clarity
- • Review and adjust speaker assignments if needed
- • Save speaker profiles for future recordings
Workflow Tips
- • Export in appropriate formats for your needs
- • Use speaker statistics for meeting analysis
- • Share transcripts with speaker labels for better collaboration
- • Archive speaker profiles for team consistency