Introduce new pricing plans designed to fit exactly where you are in your journey with speech processing.

New Pricing Plans

• Developer Plan: €19/month, up to 125 hours of premium processing, access to Precision-2 & Community-1

• Starter Plan: €99/month, up to 825 hours premium processing, 3 concurrent jobs & seats

• Enterprise Plan: Custom pricing with self-hosted deployment options

Host the open-source version on our servers

• Open-source models are now accessible via a hosted API (zero setup required)

• No setup or hosting headaches, direct API access

• No upfront infrastructure investment or ongoing DevOps

👉 Read our blog post to deploy the OSS model via API

Our latest Open-Source diarization model Community-1 is now available in pyannote.audio 4.0!

Our most significant open-source update brings you faster, more accurate diarization with seamless integration, and more:

• Cleaner speaker assignment: Exclusive single-speaker mode eliminates overlapping conflicts.

• Faster training pipeline: Metadata caching and optimized data loaders reduce training time by 40% while maintaining quality.

• Smarter STT reconciliation: Streamlined timestamp reconciliation means fewer integration headaches.

• Better accuracy: Significant improvements over OSS 3.1, especially with noisy, real-world audio conditions.

• Premium path: Seamless upgrade to pyannoteAI Premium models when you need production-grade accuracy.

How to upgrade: pip install --upgrade pyannote.audio. New features are opt-in; existing code keeps working.

Note: Python 3.10+ required for this version.

👉 Read the full blog post for more details about the model and its capabilities

Our latest diarization model Precision-2 is now available in our API!

It delivers +14% better accuracy than Precision-1 and +28% vs pyannote.audio OSS 3.1, a new standard in speaker diarization, and more:

• Sharper results: +5% better segmentation & cross-talk handling vs Precision-1.

• Smarter speaker counts: correctly predicts the number of speakers on 70% of our hardest benchmark (vs 50% with Precision-1).

• More control: set min/max speakers, use exclusive mode for easy STT alignment, and leverage per-segment confidence vectors for faster QA.

How to use: set the new model parameter to precision-2 in your diarization and identification API requests: learn more in the docs.

Progressive switch: until October 3, you can switch between Precision-1 and Precision-2. After that, Precision-1 will be deprecated and all your API requests will use Precision-2 automatically.

No cost changes: enjoy the improved model at the same price.

👉 Read the full blog post for more details about the model and its capabilities