> For the complete documentation index, see [llms.txt](https://docs.flora.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flora.ai/models/audio-models.md).

# Audio Models

Here are all the audio models currently available in FLORA.

## Speech & Voice

These models generate or transcribe speech.

<table><thead><tr><th width="220">Model</th><th width="120">Est. time (s)</th><th>Description</th><th>Best for</th></tr></thead><tbody><tr><td><strong>ElevenLabs Multilingual v2</strong></td><td>15</td><td>Natural text-to-speech with multilingual voice synthesis.</td><td>Voiceovers, narration, multilingual content, accessible media.</td></tr><tr><td><strong>ElevenLabs Scribe v2</strong></td><td>10</td><td>Transcribe speech to text.</td><td>Transcription, subtitles, meeting notes, content indexing.</td></tr><tr><td><strong>Gemini 3.1 Flash TTS</strong></td><td>10</td><td>Text to speech with prompted expressiveness.</td><td>Expressive voiceovers, character dialog, and stylized narration.</td></tr></tbody></table>

## Sound Effects & Music

These models generate sound effects and music from text prompts.

<table><thead><tr><th width="220">Model</th><th width="120">Est. time (s)</th><th>Description</th><th>Best for</th></tr></thead><tbody><tr><td><strong>Eleven v4</strong></td><td>10</td><td>ElevenLabs' most expressive speech model, with audio tags for emotion, pacing and delivery across 90+ languages.</td><td>ElevenLabs' most expressive speech model, with audio tags for emotion, pacing and delivery across 90+ languages.</td></tr><tr><td><strong>Eleven v4 Turbo</strong></td><td>5</td><td>Low-latency Eleven v4 for fast, expressive speech with audio tags across 90+ languages.</td><td>Low-latency Eleven v4 for fast, expressive speech with audio tags across 90+ languages.</td></tr><tr><td><strong>ElevenLabs Music v1</strong></td><td>30</td><td>Generate music using a text prompt.</td><td>Background tracks, musical stings, and prompt-driven composition.</td></tr><tr><td><strong>ElevenLabs Sound Effects</strong></td><td>15</td><td>Generate sound effects and Foley from text descriptions.</td><td>Foley, ambient soundscapes, UI sounds, game audio.</td></tr><tr><td><strong>ElevenLabs v3</strong></td><td>15</td><td>Expressive multilingual text-to-speech. One voice holds its identity across languages.</td><td>Expressive multilingual text-to-speech. One voice holds its identity across languages.</td></tr><tr><td><strong>Gemini 3 Flash</strong></td><td>4</td><td>Google's fast and efficient text model.</td><td>Google's fast and efficient text model.</td></tr><tr><td><strong>Lyria 3.5</strong></td><td>40</td><td>Google DeepMind's music model. Full songs with vocals and lyrics from a text prompt. Set length, tempo, and structure in the prompt.</td><td>Google DeepMind's music model. Full songs with vocals and lyrics from a text prompt. Set length, tempo, and structure in the prompt.</td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

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

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.flora.ai/models/audio-models.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.