Diarize multiple speakers on long and short audio files with multilingual support.

• Over 100+ languages with mixed language support. View all supported languages
• Speaker diarization for up to 50 speakers
• Speaker based intent, sentiment, and other audio analysis

Basic speaker diarization

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Sentiment analysis by speaker

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Blazing fast diarization on long audio files

To get the best performance with long audio file is to use run task with the <task>speech_to_text</task> in the system prompt, this only activates a part of the model used for audio.

This took 1m10s to transcribe and diarize a 1hr and 35min audio file.

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The output is truncated for this example.