PyannoteAI

pyannoteAI is a speaker diarization and conversation intelligence tool that processes conversational audio to identify who spoke when, separate overlapping voices, and provide structured speaker metadata. It offers real-time diarization in under 150ms.

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At a glance

Pricing

Freemium · Paid · Enterprise · Usage-based

Free tier

Yes

API

Yes

Skill level

Technical

About

What is pyannoteAI?

pyannoteAI is a speaker intelligence platform designed for developers, transforming real-world audio into structured, programmable intelligence for AI systems. It provides best-of-breed speaker diarization, separating overlapping voices and identifying speakers with high accuracy, even in challenging conditions with accents, noise, and code-switching. The platform offers a single API for speaker and conversation insights, integrating quickly into any Voice AI stack. It supports Python, TypeScript, and cURL, and can be deployed on cloud, on-premises, or edge devices. Built on open-source roots and backed by academic research, pyannoteAI delivers real-time and batch speaker insights with sub-100ms latency, making it suitable for production workloads.

Best used for

Ideal for developers and small teams who need to integrate advanced speaker intelligence into their Voice AI applications, process complex conversational audio, and improve the accuracy of downstream AI systems. Especially valuable for applications requiring real-time diarization and robust performance in challenging audio environments.

Common actions

analyze audio

identify speakers

process conversations

integrate voice AI

enhance speech recognition

Capabilities

Key features

Speaker diarization
Separate overlapping voices
Real-time processing
Speaker identification
Conversation intelligence API
Multi-device deployment
Language-agnostic models

Target Audience

developersai engineersdata scientists

Integrations

Not yet documented

Pricing & Plans

Freemium · Paid · Enterprise · Usage-based

Not publicly disclosed. Check pyannote.ai for current pricing.

FAQs

What is the accuracy of pyannoteAI's speaker diarization?

pyannoteAI boasts best-of-breed accuracy, claiming up to 52% lower tcpWER (time-constrained diarization error rate) compared to leading alternatives. It maintains accuracy even with overlapping speech, background noise, and code-switching, which are challenging conditions for most models.

Can pyannoteAI be integrated into existing Voice AI stacks?

Yes, pyannoteAI is designed for quick integration into any Voice AI stack. It offers an API-native approach with a single REST endpoint for diarization, identification, and transcription sync. Lightweight Python and TypeScript SDKs are also available for seamless integration.

What are the pricing tiers for pyannoteAI?

pyannoteAI offers a Freemium model with a 1-month free trial (150 hours). Paid plans include the Developer plan at €19.00/month for 125 hours and the Starter plan at €99.00/month for 825 hours. An Enterprise plan with custom volume-based pricing and advanced features is also available.

Does pyannoteAI support real-time processing?

Yes, pyannoteAI is capable of real-time diarization, processing audio in under 150ms. It is built for production workloads, delivering both real-time and batch speaker insights with sub-100ms latency, making it suitable for applications requiring immediate results.

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Content & Design › Audio & Music

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