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    Sayna

    Sayna

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    Unified voice and messaging layer for integrating AI agent audio.

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    About Sayna

    Sayna: Unified Voice & Messaging Layer for AI Agents

    Sayna is a unified voice and messaging layer designed to seamlessly integrate Text-to-Speech, Speech-to-Text, and voice streaming into AI agents. It allows developers to focus on building AI agent logic while the platform handles the complexities of voice processing, streaming, and provider management.

    Key Features

    • Text-to-Speech (TTS) Abstraction: Provides a unified API with seamless switching between multiple TTS providers, ensuring no vendor lock-in and enabling real-time synthesis.
    • Speech-to-Text (STT): Features a unified STT interface that handles provider abstraction, real-time transcription, and language detection.
    • Voice Streaming: Manages low-latency streaming, audio optimization, and buffer management.
    • Voice Activity Detection (VAD): Utilizes advanced algorithms for smart detection, noise filtering, and managing conversation flow by detecting when users start and stop speaking.
    • AI Framework Integration: Works seamlessly with frameworks like PydanticAI, LangChain, and LlamaIndex, featuring a framework-agnostic plugin architecture.
    • Universal Language Support: Compatible with Python, JavaScript, TypeScript, Go, and Rust.
    • Built-in SIP Server & Analytics: Includes a built-in SIP server and automatic voice analytics capabilities.

    Use Cases

    • Natural Conversations: Enabling voice-enabled output and natural dialogue flow for AI bots.
    • Phone Integrations: Managing phone system calls through existing AI frameworks.
    • Auto Transcriptions: Generating real-time transcriptions of spoken audio.

    Getting Started

    Website: https://sayna.ai/

    Sayna provides an enterprise-ready, developer-first platform to add voice capabilities to existing AI agents with minimal code, keeping existing architectures intact while delivering universal compatibility.