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pyannoteAI is a state-of-the-art AI platform for speaker diarization, designed for developers and companies who rely on accurate voice analysis in complex audio environments. Whether your audio is multi-speaker, noisy, or affected by external elements, pyannoteAI delivers precision and reliability where it matters most. Want to test the latest models without writing code? Use the API playground

API quickstart (5 min)

Learn how to get started making API requests

Diarize an audio file

Submit a diarization job to identify who spoke when in your audio files.

Choosing models

Explore our state-of-the-art diarization models to find the right fit for your needs.

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With pyannoteAI you can:

  • Use state-of-the-art speaker diarization and identification via voiceprints to determine who spoke when and who is speaking in any audio.
  • Embed accurate diarization into your own products, from meeting tools to voice AI systems, using our simple API.
  • Reliable diarization is the foundation of conversational AI. It improves transcription accuracy, enables speaker-specific logic, and powers downstream analytics or personalized models built on top of your data.

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Resources

Blog

Read articles and insights about speaker diarization and voice AI.

Changelog

See what’s new in pyannoteAI with our latest updates and improvements.

Discord

Join our community to ask questions and connect with other developers.