MiniMax AI: Speech-02 HD | Text-to-Speech AI Generator

fal-ai/minimax-tts/text-to-speech

Generate speech from text prompts and different voices using the MiniMax Speech-02 HD model, which leverages advanced AI techniques to create high-quality text-to-speech.

Inference

Commercial use

Partner

Schema

LLMs

Playground API

About

Convert text to speech using MiniMax HD API.

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Migrate to @fal-ai/client

The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Please check the migration guide for more information.

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

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

const result = await fal.subscribe("fal-ai/minimax-tts/text-to-speech", {
  input: {
    text: "Hello world! This is a test of the text-to-speech system."
  },
  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);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.

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

fal.config({
  credentials: "YOUR_FAL_KEY"
});

Protect your API Key

When running code on the client-side (e.g. in a browser, mobile app or GUI applications), make sure to not expose your FAL_KEY. Instead, use a server-side proxy to make requests to the API. For more information, check out our server-side integration guide.

3. Queue#

Long-running requests

For long-running requests, such as training jobs or models with slower inference times, it is recommended to check the Queue status and rely on Webhooks instead of blocking while waiting for the result.

Submit a request#

The client API provides a convenient way to submit requests to the model.

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

const { request_id } = await fal.queue.submit("fal-ai/minimax-tts/text-to-speech", {
  input: {
    text: "Hello world! This is a test of the text-to-speech system."
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

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

const status = await fal.queue.status("fal-ai/minimax-tts/text-to-speech", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

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

const result = await fal.queue.result("fal-ai/minimax-tts/text-to-speech", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

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

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Auto uploads

The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).

Read more about file handling in our file upload guide.

5. Schema#

Input#

text string* required

Text to convert to speech (max 5000 characters)

voice_setting VoiceSetting

Voice configuration settings

audio_setting AudioSetting

Audio configuration settings

language_boost LanguageBoostEnum

Enhance recognition of specified languages and dialects

Possible enum values: Chinese, Chinese,Yue, English, Arabic, Russian, Spanish, French, Portuguese, German, Turkish, Dutch, Ukrainian, Vietnamese, Indonesian, Japanese, Italian, Korean, Thai, Polish, Romanian, Greek, Czech, Finnish, Hindi, auto

pronunciation_dict PronunciationDict

Custom pronunciation dictionary for text replacement

{
  "text": "Hello world! This is a test of the text-to-speech system."
}

Output#

audio File* required

The generated audio file

duration_ms integer* required

Duration of the audio in milliseconds

{
  "audio": {
    "url": "https://fal.media/files/kangaroo/kojPUCNZ9iUGFGMR-xb7h_speech.mp3"
  }
}

Other types#

AudioSetting#

sample_rate SampleRateEnum

Sample rate of generated audio Default value: "32000"

Possible enum values: 8000, 16000, 22050, 24000, 32000, 44100

bitrate BitrateEnum

Bitrate of generated audio Default value: "128000"

Possible enum values: 32000, 64000, 128000, 256000

format FormatEnum

Audio format Default value: "mp3"

Possible enum values: mp3, pcm, flac

channel ChannelEnum

Number of audio channels (1=mono, 2=stereo) Default value: "1"

Possible enum values: 1, 2

TextToSpeechTurboRequest#

text string* required

Text to convert to speech (max 5000 characters)

voice_setting VoiceSetting

Voice configuration settings

audio_setting AudioSetting

Audio configuration settings

language_boost LanguageBoostEnum

Enhance recognition of specified languages and dialects

pronunciation_dict PronunciationDict

Custom pronunciation dictionary for text replacement

VoiceSetting#

voice_id VoiceIdEnum

Predefined voice ID to use for synthesis Default value: "Wise_Woman"

Possible enum values: Wise_Woman, Friendly_Person, Inspirational_girl, Deep_Voice_Man, Calm_Woman, Casual_Guy, Lively_Girl, Patient_Man, Young_Knight, Determined_Man, Lovely_Girl, Decent_Boy, Imposing_Manner, Elegant_Man, Abbess, Sweet_Girl_2, Exuberant_Girl

custom_voice_id string

Custom cloned voice ID. If provided, this will override the voice_id field.

speed float

Speech speed (0.5-2.0) Default value: 1

vol float

Volume (0-10) Default value: 1

pitch integer

Voice pitch (-12 to 12)

emotion EmotionEnum

Emotion of the generated speech

Possible enum values: happy, sad, angry, fearful, disgusted, surprised, neutral

english_normalization boolean

Enables English text normalization to improve number reading performance, with a slight increase in latency

File#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

file_data string

File data

VoiceCloneRequest#

audio_url string* required

URL of the input audio file for voice cloning. Should be at least 10 seconds long.

noise_reduction boolean

Enable noise reduction for the cloned voice

need_volume_normalization boolean

Enable volume normalization for the cloned voice

accuracy float

Text validation accuracy threshold (0-1)

PronunciationDict#

tone_list list<string>

List of pronunciation replacements in format ['text/(pronunciation)', ...]. For Chinese, tones are 1-5. Example: ['燕少飞/(yan4)(shao3)(fei1)']

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MiniMax Speech-02 HD Text to Speech

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

AudioSetting#

TextToSpeechTurboRequest#

VoiceSetting#

File#

VoiceCloneRequest#

PronunciationDict#