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ConversationRelay

Twilio's ConversationRelay empowers you to build powerful AI voice experiences for your customers. Let Twilio handle the heavy lifting of speech recognition, text-to-speech, and voice synthesis, so you can focus on building your application.

Get started now

Take the next steps with ConversationRelay

Guides
1
Twilio servers
2
Your app
const VoiceResponse = require('twilio').twiml.VoiceResponse;
const response = new VoiceResponse();
const connect = response.connect({
action: 'https://myhttpserver.com/connect_action'
});
connect.conversationRelay({
url: 'wss://mywebsocketserver.com/websocket',
welcomeGreeting: 'Hi! Ask me anything!'
});
3
ConversationRelay streams your response to the caller using a natural-sounding voice

Take the next steps with ConversationRelay


Guides

After you've completed the onboarding steps, you are ready to start building your first application. Tap on one of the below tutorials to get started with building your first ConversationRelay app.


Learn more

ConversationRelay is flexible — and there are many ways to build an application that uses it. Tap on the links below to find tutorials and reference documentation for ConversationRelay and related Twilio services.

Reference documentation

Understanding your AI models

ConversationRelay uses artificial intelligence and machine learning technologies. We want you to understand how these technologies work, what data they use, and how they're trained. That's why we provide AI Nutrition Facts(link takes you to an external page) for our AI-powered features. Tap on the name of a provider to learn more about the characteristics of their TTS and STT models.


Twilio offers other tools to enhance your voice applications such as adding in-application chat and synchronizing your application's state across devices.

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Conversational Intelligence

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Product documentation
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Flex

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Voice

Build unique phone call experiences with one API to make, receive, control, and monitor calls around the globe.

Product documentation