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Reviewed · Updated 2026-06-16

pyannote.audio

Performs speaker diarization and voice activity detection for audio processing.

Reviewed by the Conversion Gems editorial team ·
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Pricing
Free
Best for
Researchers
Category
AI Audio & Voice
The bottom line

The leading free, open-source speaker-diarization toolkit; excellent and self-hostable, with a paid hosted API/premium model if you want more accuracy or less ops.

7.5
Our score
7.5 / 10
Conversion Gems editorial verdict
Free (MIT); hosted pyannoteAI from EUR 19/mo
Features9/10
9 - SOTA diarization, VAD, overlap handling, finetuning and pretrained pipelines.
Value9/10
9 - free MIT and best-in-class among open-source diarizers.
Ease of use4/10
4 - penalized: a developer toolkit needing a GPU and Hugging Face model gating.
Ecosystem8/10
8 - Hugging Face hub, PyTorch, huge downloads and a hosted pyannoteAI path.
Support5/10
5 - community/academic support; paid support via pyannoteAI.
What it really is

An open-source Python toolkit for speaker diarization - figuring out 'who spoke when' - plus voice-activity detection, built on PyTorch with state-of-the-art pretrained models.

Our take

It is the default open-source choice for diarization: free under MIT, state-of-the-art accuracy with the Community-1 model, and finetunable on your own data. The trade-offs are that it is a developer toolkit (you self-host and bring a GPU), and the most accurate model (Precision-2) and a managed API live behind the paid pyannoteAI service.

Best for
Developers building 'who spoke when' into transcription/audio apps
Researchers needing finetunable, state-of-the-art diarization
Privacy-sensitive or cost-sensitive self-hosted audio pipelines
Not good for
Non-developers wanting a finished transcription app
Teams without a GPU or ML tooling to self-host
Users needing the very highest accuracy without paying (that is the premium model)
Friction report
Time to value
Developer setup: pip install, accept the model terms on Hugging Face, and run the pretrained pipeline (a GPU is recommended).
Scale breakpoint
Self-hosting means managing infrastructure and compute; the most accurate model (Precision-2), voiceprints and a managed API require the paid pyannoteAI service.
Walled garden
Low lock-in for the toolkit - MIT, self-hosted, Python-first; the premium API is a separate, optional service.

A look inside

pyannote.audio product screenshot

Frequently Asked Questions

Alternatives

Step up

The hosted pyannoteAI API (Precision-2) - higher accuracy and no infrastructure, paid.

Lighter alternative

WhisperX - bundles transcription plus diarization if you want both in one pass.

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Tags

#AudioProcessing#Diarization

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