- Use Cases
- Ai Voice Agents
Build Voice Agents with the best ears in AI
Sub-second, speaker-aware speech-to-text across 55+ languages. Plug in fast with a flexible API and native integrations to power AI voice agents.
Enabling 100,000+ developers with leading speech recognition
Pairing LiveKit’s flexible agent framework with Speechmatics to build world-class agentsSmarter AI Voice Agents start with smarter listening
Smarter AI Voice Agents start with smarter listening
Give your agents a stronger foundation with 25% higher real-time accuracy
Understand every voice in real-time
Accuracy that keeps up. Live transcription under a second that holds in noise and overlap, across 55+ languages.
Lock in the details. Addresses, names, alphanumerics, and domain terms with Custom Dictionary and entity formatting.
Track speakers live. Advanced speaker diarization for who said what and when, enabling speaker-specific actions.
Speechmatics named G2 Leader in 2026
What our customers are building with Speechmatics
What our customers are building with Speechmatics
Resources for AI Voice Agents
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Vapi and Speechmatics: Build agents that understand every voice
Ship Voice AI agents that stay readable in real time, even in noisy, multi-speaker calls.
![[alt: Livekit and Speechmatics partnership]](/_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fyze1aysi0225%2F55uo621nIAzecVIcDsrrGX%2Fa81809b4dcf9acd1883ce628f8a10552%2FLiveKit-blog_assets-V1_-_Header_16-9.webp&w=3840&q=75)
Introducing real-time, speaker-aware Voice Agents with LiveKit + Speechmatics
Speechmatics brings speaker diarization to LiveKit agents - enabling them to understand not just what was said, but who said it.
![[alt: The Pipecat logo]](/_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fyze1aysi0225%2FpvtJ7dqMe5Kdfc6zSeyxI%2F173057fb186137baa7c5c1126e8e62da%2FSocial_sharing.png&w=3840&q=75)
Pipecat and Speechmatics: Building Voice Agents that know exactly ‘Who’ said ‘What’
Build smarter voice agents on Pipecat with Speechmatics speech-to-text, now with powerful speaker diarization for real-world, multi-speaker conversations.

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