> ## Documentation Index
> Fetch the complete documentation index at: https://help.withwoz.com/llms.txt
> Use this file to discover all available pages before exploring further.

# OpenAI Realtime Voice

> Learn how to enable real-time voice conversations in your app.

## Introduction

Learn how to enable real-time voice conversations in your app.

OpenAI Realtime Voice allows your app to support fast, natural voice interactions using WebRTC or WebSocket connections. With sub-second latency, interruption handling, and function calling, it enables highly responsive voice assistants and real-time conversational experiences.

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## What You Can Build

With OpenAI Realtime Voice, your app can support:

* **Real-Time Voice Assistants** – Enable users to speak and receive instant responses.
* **Voice-Based Customer Support** – Build assistants that can answer questions and perform actions.
* **Interruptible Conversations** – Allow natural conversation flow where users can interrupt and continue.
* **Function-Enabled Voice Agents** – Connect voice interactions to app actions like fetching data or triggering workflows.
* **Phone and Call-Based Experiences** – Create systems for voice-driven interactions similar to call agents.

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## How It Works

When OpenAI Realtime Voice is enabled, your app establishes a real-time connection using WebRTC or WebSocket.

Your app can:

* capture live audio input from users
* stream audio to the AI in real time
* receive and play generated voice responses instantly
* handle interruptions during conversations
* trigger function calls based on user intent

This creates a seamless, low-latency conversational experience that feels natural and interactive.

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## Example Prompts

You can use prompts like these to implement features:

**Add a real-time voice assistant**

Add a real-time voice assistant to my app that users can talk to naturally with instant responses using OpenAI Realtime.

**Add a voice support agent**

Add a voice-powered customer support agent to my app that can look up orders and answer questions in real time using OpenAI.

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## Common Use Cases

OpenAI Realtime Voice is commonly used for:

* AI voice assistants
* customer support voice agents
* real-time interactive apps
* voice-driven workflows
* conversational interfaces

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## Best Practices

To get the best results:

* optimize for low latency to keep conversations natural
* handle interruptions gracefully
* connect voice to meaningful actions using function calls
* provide clear UI feedback (listening, speaking states)
* design concise responses for better flow