TTS API
Add real-time text-to-speech to your app with Telnyx TTS API
Learn how to build real-time Text-to-Speech (TTS) Voice AI using Telnyx’s TTS websocket API. This step-by-step walkthrough demonstrates how to set up and run the a Python TTS WebSocket client.
Real-time text-to-speech lets your app speak instantly and naturally. Whether you’re building virtual assistants, AI phone agents, or support tools, generating lifelike speech in the moment creates a more human experience. But to sound natural, it needs to be fast.
That’s where Telnyx comes in. Telnyx TTS API streams high-quality natural-sounding speech the moment you generate it. You can access voices from Telnyx and other vendors through one API, customize tone and language, and deliver low-latency audio at scale.
👉 Watch the demo to see how to build a real-time voice AI experience using our Python WebSocket client.
What is in the demo
This key differentiator opens the door for seamless integrations with AI platforms and custom Text-to-Speech engines, allowing developers to build next-level voice experiences. Imagine creating real-time, responsive interactions that feel as natural as talking to a friend.
David Casem, CEO @ Telnyx
In this step-by-step video, we walk through how to generate HD-quality speech with low latency using Telnyx’s TTS API. You’ll go from setup to streaming audio in just a few minutes. Here’s what we cover:
- How real-time TTS works over WebSockets
- How to generate natural HD AI voices with low latency
- How to install and run the Telnyx asyncio Python example
- How to handle streaming audio chunks in real time
- How to integrate standalone TTS into Voice AI agents
- How to modify voice, speed, and output format settings
To follow along, you just need:
- A Telnyx account
- Your API key from the Telnyx portal
- Python 3.8+
Developer resources
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