> ## 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.

# Gemini Live

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

## Introduction

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

Gemini Live allows your app to support fast, natural voice interactions using WebSocket-based audio streaming. With sub-second latency, interruption handling, and multimodal input support, it enables dynamic, real-time conversational experiences.

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## What You Can Build

With Gemini Live, your app can support:

* **Real-Time Voice Assistants** – Enable users to speak and receive instant responses.
* **Multilingual Voice Experiences** – Support conversations across multiple languages.
* **Interruptible Conversations** – Allow natural back-and-forth dialogue with interruptions.
* **Multimodal Interactions** – Combine voice with text, images, or other inputs.
* **Voice Concierge Systems** – Build assistants that guide users in real time.

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## How It Works

When Gemini Live is enabled, your app establishes a real-time connection using WebSocket audio streaming.

Your app can:

* capture and stream user audio input
* process conversations in real time
* receive instant AI-generated responses
* handle interruptions during dialogue
* combine voice with other input types

This creates a seamless conversational experience with fast response times and flexible interaction modes.

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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 powered by Gemini that responds instantly with natural conversation.

**Add a multilingual voice concierge**

Add a multilingual voice concierge to my app using Gemini Live that handles questions with sub-second latency.

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## Common Use Cases

Gemini Live is commonly used for:

* AI voice assistants
* multilingual support systems
* real-time conversational apps
* voice-driven navigation or guidance
* multimodal AI experiences

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## Best Practices

To get the best results:

* optimize for low latency to maintain flow
* handle interruptions naturally
* design clear conversational states (listening, speaking)
* support multiple input types for flexibility
* keep responses concise and context-aware
