# ElevenLabs Sound Effects V3

> Generate sound effects up to 30 seconds from a text prompt with ElevenLabs SFX v3, with optional seamless looping.


## Overview

- **Endpoint**: `https://fal.run/elevenlabs/sound-effects/v3`
- **Model ID**: `elevenlabs/sound-effects/v3`
- **Category**: text-to-audio
- **Kind**: inference
**Tags**: sound, sfx, audio



## Pricing

- **Price**: $0.002 per seconds

For more details, see [fal.ai pricing](https://fal.ai/pricing).

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:


- **`text`** (`string`, _required_):
  The text describing the sound effect to generate
  - Examples: "Spacious braam suitable for high-impact movie trailer moments", "A gentle wind chime tinkling in a soft breeze"

- **`duration_seconds`** (`float`, _optional_):
  Duration in seconds (0.5-30). If None, optimal duration will be determined from prompt.
  - Range: `0.5` to `30`

- **`prompt_influence`** (`float`, _optional_):
  How closely to follow the prompt (0-1). Higher values mean less variation. Default value: `0.3`
  - Default: `0.3`
  - Range: `0` to `1`

- **`output_format`** (`OutputFormatEnum`, _optional_):
  Output format of the generated audio. Formatted as codec_sample_rate_bitrate. Default value: `"mp3_44100_128"`
  - Default: `"mp3_44100_128"`
  - Options: `"mp3_22050_32"`, `"mp3_44100_32"`, `"mp3_44100_64"`, `"mp3_44100_96"`, `"mp3_44100_128"`, `"mp3_44100_192"`, `"pcm_8000"`, `"pcm_16000"`, `"pcm_22050"`, `"pcm_24000"`, `"pcm_44100"`, `"pcm_48000"`, `"ulaw_8000"`, `"alaw_8000"`, `"opus_48000_32"`, `"opus_48000_64"`, `"opus_48000_96"`, `"opus_48000_128"`, `"opus_48000_192"`

- **`loop`** (`boolean`, _optional_):
  Whether to create a sound effect that loops smoothly.
  - Default: `false`



**Required Parameters Example**:

```json
{
  "text": "Spacious braam suitable for high-impact movie trailer moments"
}
```

**Full Example**:

```json
{
  "text": "Spacious braam suitable for high-impact movie trailer moments",
  "prompt_influence": 0.3,
  "output_format": "mp3_44100_128"
}
```


### Output Schema

The API returns the following output format:

- **`audio`** (`File`, _required_):
  The generated sound effect audio file in MP3 format
  - Examples: {"url":"https://v3.fal.media/files/lion/WgnO-jy6WduosuG_Ibobx_sound_effect.mp3"}



**Example Response**:

```json
{
  "audio": {
    "url": "https://v3.fal.media/files/lion/WgnO-jy6WduosuG_Ibobx_sound_effect.mp3"
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/elevenlabs/sound-effects/v3 \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "text": "Spacious braam suitable for high-impact movie trailer moments"
   }'
```

### Python

Ensure you have the Python client installed:

```bash
pip install fal-client
```

Then use the API client to make requests:

```python
import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "elevenlabs/sound-effects/v3",
    arguments={
        "text": "Spacious braam suitable for high-impact movie trailer moments"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)
```

### JavaScript

Ensure you have the JavaScript client installed:

```bash
npm install --save @fal-ai/client
```

Then use the API client to make requests:

```javascript
import { fal } from "@fal-ai/client";

const result = await fal.subscribe("elevenlabs/sound-effects/v3", {
  input: {
    text: "Spacious braam suitable for high-impact movie trailer moments"
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);
```


## Deploy your own model

To run your own weights, a fine-tune or a custom pipeline on the GPUs that serve this API, deploy it on fal Serverless. GPUs from H100 (80GB) to B300 (288GB), billed per second; an H100 is $4.50/h list, as low as $2.49/h. Prices, GPU specs and deploy steps: [fal Serverless](https://fal.ai/serverless.md).

## Additional Resources

### Documentation

- [Model Playground](https://fal.ai/models/elevenlabs/sound-effects/v3)
- [API Documentation](https://fal.ai/models/elevenlabs/sound-effects/v3/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=elevenlabs/sound-effects/v3)

### fal.ai Platform

- [Platform Documentation](https://fal.ai/docs/documentation)
- [Python Client](https://fal.ai/docs/api-reference/client-libraries/python)
- [JavaScript Client](https://fal.ai/docs/api-reference/client-libraries/javascript)

### Other agent-readable surfaces

This file covers one model. To find anything else:

- [Platform overview](https://fal.ai/llms.txt): Entry points and representative endpoint IDs
- [Documentation index](https://fal.ai/docs/llms.txt): Every documentation page
- [Full documentation text](https://fal.ai/docs/llms-full.txt): The whole documentation inlined
- [Pricing](https://fal.ai/pricing.md): Model API and Serverless GPU prices
- [fal Serverless](https://fal.ai/serverless.md): Deploy your own models: GPU prices, specs and steps
- Any other model: `https://fal.ai/models/<endpoint-id>/llms.txt`