Speaker Diarization
Identify and separate different speakers in audio recordings. Perfect for meeting analysis and conversation transcription.
Speaker Diarization
Identify and separate different speakers in audio recordings
Audio Analysis
Audio File
Speaker Analysis
Speaker analysis results will appear here
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How It Works
Simple steps to analyze speaker patterns!
Upload Recording
Select any meeting or conversation recording.
Analyze Speakers
Our AI identifies and separates different speakers.
View Results
See speaker segments and participation metrics.
Key Features
What makes our Speaker Diarization special!
Speaker Identification
Automatically detects different speakers.
Detailed Analytics
Shows speaking time distribution and patterns.
Multi-speaker Support
Handles conversations with multiple participants.
Who Can Benefit
Our Speaker Diarization helps various users:
Business Meetings
Analyze meeting participation and dynamics.
Researchers
Study conversation patterns and interactions.
Journalists
Transcribe and attribute quotes accurately.
Podcasters
Separate hosts and guests in recordings.
Audio Tools
Meeting Analysis Gold
"Helps me track participation in team meetings automatically."
Team Lead
Research Essential
"Saves hours manually tagging speakers in focus groups."
Researcher
Podcast Production
"Separates hosts and guests perfectly for editing."
Podcast Producer
Courtroom Assistant
"Identifies different speakers in legal recordings."
Legal Assistant
Frequently Asked Questions
1Is this Speaker Diarization tool free?
Is this Speaker Diarization tool free?
Yes, our Speaker Diarization tool is completely free to use with no limitations.
2How many speakers can it identify?
How many speakers can it identify?
The tool can identify up to 10 distinct speakers in a recording, though accuracy is best with 2-5 speakers.
3What audio formats are supported?
What audio formats are supported?
The tool supports common audio formats including MP3, WAV, OGG, and more. The recording should have clear speech for best results.
4How accurate is the speaker identification?
How accurate is the speaker identification?
Accuracy depends on audio quality and speaker distinctiveness, but typically achieves 85-95% accuracy in good conditions.
5Can it work with overlapping speech?
Can it work with overlapping speech?
The tool can handle brief overlaps, but extended simultaneous speech from multiple speakers may reduce accuracy.
6Is there a file size limit?
Is there a file size limit?
The web version can handle files up to 50MB. For larger files, consider our desktop application.
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