gpt-4o-mini-tts

This documentation is valid for the following list of our models:

• openai/gpt-4o-mini-tts

Try in Playground

A text-to-speech model based on GPT-4o mini, supporting up to 2,000 input tokens.

Setup your API Key

If you don’t have an API key for the AI/ML API yet, feel free to use our Quickstart guide.

API Schema

post

Body

application/json

modelstring · enumRequiredPossible values:

textstring · min: 1 · max: 4096Required

The text content to be converted to speech.

voicestring · enumOptional

Name of the voice to be used.

Default: alloyPossible values:

stylestringOptional

Determines the style exaggeration of the voice. This setting attempts to amplify the style of the original speaker. It does consume additional computational resources and might increase latency if set to anything other than 0.

response_formatstring · enumOptional

Format of the output content for non-streaming requests. Controls how the generated audio data is encoded in the response.

Default: mp3Possible values:

speednumber · min: 0.25 · max: 4Optional

Adjusts the speed of the voice. A value of 1.0 is the default speed, while values less than 1.0 slow down the speech, and values greater than 1.0 speed it up.

Default: 1

streamboolean · enumOptionalDefault: falsePossible values:

Responses

200Success

application/jsonaudio/wav

audiostring · uriRequired

post

/v1/tts

cURLJavaScriptPython

curl -L \
  --request POST \
  --url 'https://api.aimlapi.com/v1/tts' \
  --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
      "model": "openai/gpt-4o-mini-tts",
      "text": "Cities of the future promise to radically transform how people live, work, and move. Instead of sprawling layouts, we will see vertical structures that integrate residential, work, and public spaces into single, self-sustaining ecosystems. Architecture will adapt to climate conditions, and buildings will be energy-efficient—generating power through solar panels, wind turbines, and even foot traffic."
    }'

200Success

{
  "audio": "https://example.com",
  "meta": {
    "usage": {
      "credits_used": 120000,
      "usd_spent": 0.06
    }
  }
}

Code Example

Python

import requests

# Insert your AI/ML API key instead of <YOUR_AIMLAPI_KEY>:
api_key = "<YOUR_AIMLAPI_KEY>" 
base_url = "https://api.aimlapi.com/v1"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
}

data = {
    "model": "openai/gpt-4o-mini-tts",
    "text": "GPT-4o-mini-tts is a small and fast model. Use it to convert text to natural sounding spoken text.",
    "voice": "coral",
}

response = requests.post(f"{base_url}/tts", headers=headers, json=data)
response.raise_for_status()

result = response.json()

print("Audio URL:", result["audio"]["url"])

JaveScript

Response

Audio URL: https://cdn.aimlapi.com/generations/hedgehog/1760948488200-5a500947-2ec2-41b5-b77b-4b75c7913aad.mp3

Listen to the audio sample we generated: