# Audio Node

### What is an Audio Node?

The Audio node lets you generate audio from text using high-quality voice synthesis models. It's ideal for turning responses from LLMs or static text into spoken audio.

This node is commonly used in voice interfaces, accessibility workflows, or any experience where you want to deliver output via sound.

It supports popular text-to-speech engines and customizable voices to match your tone and use case.

Key capabilities include:

* Supports multilingual audio synthesis.
* Choose from multiple voice models and accents.
* Play back audio directly in the interface with **Test Output**.
* Optionally use your own API key to connect with external TTS providers.

### How to use it?

To use the Audio node:

* **Input:** Accepts a text string (e.g., from an LLM or Input node).
* **Output:** Returns a playable audio file that can be previewed that can be previewed.

After receiving text input, the Audio node displays a **Test Output** section with a play button, allowing you to listen to the generated audio.

### Settings

#### Configuration Options

* **Model:** Choose the TTS engine, such as `eleven_multilingual_v2`.
* **Voice:** Select from available voice profiles (e.g., Sarah, Chris).
* **API Key:** Optional field for providing your own TTS provider credentials.

### How to expose Audio externally?

To make audio results available in your external interface:

1. Go to the **Export** tab.
2. Enable the Audio node in the **Outputs** section under **Fields**.
3. Click **Save Interface**.
4. When triggered, users will be able to hear the generated audio directly in the interface.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.stackai.com/workflow-builder/outputs/audio-node.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.