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.

fal-ai/minimax/preview/speech-2.5-hd

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

SandboxOpen in Sandbox

fal-ai/minimax/preview/speech-2.5-hd

Schema

SandboxOpen in Sandbox

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.

fal-ai/minimax/preview/speech-2.5-hd

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

SandboxOpen in Sandbox

About

Convert text to speech using MiniMax 2.5 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. Install the new package and update your imports — see client setup.

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/preview/speech-2.5-hd", {
  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 an environment where you cannot set environment variables, you can configure the API key manually on the client.

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/preview/speech-2.5-hd", {
  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/preview/speech-2.5-hd", {
  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/preview/speech-2.5-hd", {
  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#

enable_safety_checker boolean

Authorized callers may set false to request relaxed screening. Default value: true

text string* required

Text to convert to speech (max 5000 characters, minimum 1 non-whitespace character)

voice_setting VoiceSetting

Voice configuration settings

audio_setting AudioSetting

Audio configuration settings

language_boost Enum

Enhance recognition of specified languages and dialects

Possible enum values: Persian, Filipino, Tamil, 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, Bulgarian, Danish, Hebrew, Malay, Slovak, Swedish, Croatian, Hungarian, Norwegian, Slovenian, Catalan, Nynorsk, Afrikaans, auto

output_format OutputFormatEnum

Format of the output content (non-streaming only) Default value: "hex"

Possible enum values: url, hex

pronunciation_dict PronunciationDict

Custom pronunciation dictionary for text replacement

{
  "enable_safety_checker": true,
  "text": "Hello world! This is a test of the text-to-speech system.",
  "output_format": "hex"
}

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#

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.

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

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)']

VoiceSetting#

voice_id string

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

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 Enum

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

1. Calling the API

2. Authentication

API Key

3. Queue

4. Files

5. Schema

About

Convert text to speech using MiniMax 2.5 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. Install the new package and update your imports — see client setup.

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/preview/speech-2.5-hd", {
  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 an environment where you cannot set environment variables, you can configure the API key manually on the client.

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

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

Protect your API Key

3. Queue#

Long-running requests

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/preview/speech-2.5-hd", {
  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/preview/speech-2.5-hd", {
  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/preview/speech-2.5-hd", {
  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)#

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#

enable_safety_checker boolean

Authorized callers may set false to request relaxed screening. Default value: true

text string* required

Text to convert to speech (max 5000 characters, minimum 1 non-whitespace character)

voice_setting VoiceSetting

Voice configuration settings

audio_setting AudioSetting

Audio configuration settings

language_boost Enum

Enhance recognition of specified languages and dialects

output_format OutputFormatEnum

Format of the output content (non-streaming only) Default value: "hex"

Possible enum values: url, hex

pronunciation_dict PronunciationDict

Custom pronunciation dictionary for text replacement

{
  "enable_safety_checker": true,
  "text": "Hello world! This is a test of the text-to-speech system.",
  "output_format": "hex"
}

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#

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.

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

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)']

VoiceSetting#

voice_id string

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

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 Enum

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

Minimax Text to Speech API Docs | fal

fal-ai/minimax/preview/speech-2.5-hd

Table of contents

Table of contents

fal-ai/minimax/preview/speech-2.5-hd

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#

File#

AudioSetting#

PronunciationDict#

VoiceSetting#

Table of contents

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#

File#

AudioSetting#

PronunciationDict#

VoiceSetting#