Sayna
Unified voice and messaging layer for AI agents with real-time TTS/STT and streaming.
About Sayna
Sayna offers a unified voice messaging layer for AI agents, enabling real-time Text-to-Speech, Speech-to-Text, and voice streaming. It is designed to be framework-agnostic and works with PydanticAI, LangChain, LlamaIndex, or any AI framework, all via a single API. Real-time processing, provider abstraction, and built-in SIP and voice analytics simplify building voice-enabled AI agents.
Features
- Real-time speech processing with TTS, STT, and voice streaming
- Provider abstraction with multiple TTS providers and seamless switching (no vendor lock-in)
- Built-in SIP server and auto voice analytics
- Unified API and framework-agnostic integration with PydanticAI, LangChain, and LlamaIndex
- Low-latency streaming, Voice Activity Detection, and audio optimization
- Language detection and real-time transcription
- Single-platform, single API for voice and messaging
Who Is It For?
- AI developers and product teams building voice-enabled AI agents
- Projects using PydanticAI, LangChain, LlamaIndex, or any AI framework
- Teams seeking to add voice capabilities with minimal code
Use Cases
- Add voice capabilities to existing AI agents with just a few lines of code
- Handle phone system calls with voice-enabled AI agents
- Use multi-provider TTS with provider abstraction for real-time synthesis
- Real-time voice-enabled conversations with low latency
Get started with Sayna for voice-enabled AI today.