Speech 2.5 Turbo Preview

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

• minimax/speech-2.5-turbo-preview

Try in Playground

A high-definition text-to-speech model with enhanced multilingual expressiveness, more precise voice replication, and expanded support for 40 languages.

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: 5000Required

The text content to be converted to speech.

language_booststring · enumOptional

Language recognition enhancement option.

Possible values:

subtitle_enablebooleanOptional

Enable subtitle generation service. Only available for non-streaming requests. Generates timing information for the synthesized speech.

Default: false

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": "minimax/speech-2.5-turbo-preview",
      "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
    }
  }
}

Quick Code Example

Here is an example of generating an audio response to the user input provided in the text parameter.

Python

import os
import requests


def main():
    url = "https://api.aimlapi.com/v1/tts"
    headers = {
        # Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
        "Authorization": "Bearer <YOUR_AIMLAPI_KEY>",
    }
    payload = {
        "model": "minimax/speech-2.5-turbo-preview",
        "text": "Hi! What are you doing today?",
        "voice_setting": {
          "voice_id": "Wise_Woman"
        }
    }

    response = requests.post(url, headers=headers, json=payload, stream=True)
    dist = os.path.abspath("your_file_name.wav")

    with open(dist, "wb") as write_stream:
        for chunk in response.iter_content(chunk_size=8192):
            if chunk:
                write_stream.write(chunk)

    print("Audio saved to:", dist)


main()

JavaScript

Response

Audio saved to: c:\Users\user\Documents\Python Scripts\TTSes\your_file_name.wav