Speaker-labelled transcript
Label transcript segments using a configured diarization model.
Speaker-labelled transcript
Drop your files here
or choose files from your device
Speaker-labelled transcript કેવી રીતે વાપરવું
- Choose a source file. If the tool accepts multiple files, arrange them in the order you want.
- Set language code (blank = detect), maximum seconds.
- Run speaker-labelled transcript, review the output, then use the available copy or download controls.
આ સાધનની સુવિધાઓ
Browser Whisper word timestamps are matched to Pyannote segmentation within a 10-second excerpt, with up to three anonymous speaker slots. Labels do not identify people or persist across runs. Review overlaps and short turns.
- Language code (blank = detect)
- Set this value for your task.
- Maximum seconds
- Range: 1 to 10
મર્યાદાઓ અને પ્રક્રિયા
Up to 10 seconds, three anonymous speaker slots. Labels apply only within the selected excerpt and are not speaker identities. First inference downloads transcription and segmentation models.
ઇનપુટનું ઉદાહરણ
A useful tool makes everyday work easier. Review the results before sharing.
વારંવાર પૂછાતા પ્રશ્નો
What does speaker-labelled transcript do?
Browser Whisper word timestamps are matched to Pyannote segmentation within a 10-second excerpt, with up to three anonymous speaker slots. Labels do not identify people or persist across runs. Review overlaps and short turns.
Where is my input processed?
Source files and text stay in this browser. The first run downloads public models from Hugging Face and local runtime assets from the site. Models may remain in the browser cache. No source upload to Vercel, Supabase or a conversion service is required.
What are the input limits?
Up to 10 seconds, three anonymous speaker slots. Labels apply only within the selected excerpt and are not speaker identities. First inference downloads transcription and segmentation models.