Speaker Diarization
Audio transcription with speaker labels
Get transcription with automatic speaker labels for meetings, interviews, and podcasts
Separate speakers in recordings from any audio or video format
Speaker diarization transcription output
See how speaker identification works with automatic speaker labels in your transcript.
How transcript with speaker identification works
Automatic speaker diarization in four simple steps to identify speakers in audio and video
Upload Recording
Drop your audio or video file, or paste a URL from YouTube or cloud storage
AI-powerd Transcription
Advanced speech recognition converts audio to accurate text
Speaker Diarization
AI identifies and separates each speaker with automatic speaker labeling
Export Transcript
Download your transcript with speaker labels in any format
Performance of speaker identification & transcription
Reliable speaker diarization and speaker separation powered by Open AI
AI Model
OpenAI Whisper
Max Speakers
10+ detected
Diarization Accuracy
95%+
Free Limit
Up to 3 transcripts / day
Pro Limit
Unlimited transcription
Languages
98+ supported
Export speaker-labeled transcripts in any format
Best tool for speaker label in transcription
Everything you need for audio transcription with speaker labels and video transcription with speakers
No Account Needed
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Automatic Speaker Diarization
Identifies speakers and separates each voice with speaker labeling
Resegment & Edit
Adjust transcript segments and edit text for structured, polished output
Timestamps Included
Each speaker segment includes precise timestamps
Multiple Export Formats
Export speaker-labeled transcripts as TXT, SRT, VTT, PDF, DOC, or JSON
Summarize & Analyze
Extract insights from multi-speaker transcription with AI analysis
Identify speakers for every recording type
Speaker separation and speaker labeling for all your audio and video content
Transcript with speaker diarization FAQs
What is speaker diarization?
How does automatic speaker identification work?
How many speakers can be detected in multi-speaker transcription?
Does speaker diarization work for meetings and interviews?
Can I edit the speaker labels after transcription?
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