ElevenLabs TTS Multilingual v2 | Text to Audio

fal-ai/elevenlabs/tts/multilingual-v2

Generate multilingual text-to-speech audio using ElevenLabs TTS Multilingual v2.

Inference

Commercial use

Streaming

Partner

Schema

Playground API

About

ElevenLabs Multilingual v2 model for text-to-speech generation.

Excels in stability, language diversity, and accent accuracy. Supports 29 languages with high-quality, natural-sounding voices.

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/elevenlabs/tts/multilingual-v2", {
  input: {
    text: "Hello! This is a test of the text to speech system, powered by ElevenLabs. How does it sound?"
  },
  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);

Streaming#

This model supports streaming requests. You can stream data directly to the model and get the result in real-time.

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

const stream = await fal.stream("fal-ai/elevenlabs/tts/multilingual-v2", {
  input: {
    text: "Hello! This is a test of the text to speech system, powered by ElevenLabs. How does it sound?"
  }
});

for await (const event of stream) {
  console.log(event);
}

const result = await stream.done();

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/elevenlabs/tts/multilingual-v2", {
  input: {
    text: "Hello! This is a test of the text to speech system, powered by ElevenLabs. How does it sound?"
  },
  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/elevenlabs/tts/multilingual-v2", {
  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/elevenlabs/tts/multilingual-v2", {
  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

The text to convert to speech Default value: undefined

voice string

The voice to use for speech generation Default value: "Rachel"

stability float

Voice stability (0-1) Default value: 0.5

similarity_boost float

Similarity boost (0-1) Default value: 0.75

style float

Style exaggeration (0-1) Default value: 0

speed float

Speech speed (0.7-1.2). Values below 1.0 slow down the speech, above 1.0 speed it up. Extreme values may affect quality. Default value: 1

timestamps boolean

Whether to return timestamps for each word in the generated speech Default value: false

previous_text string

The text that came before the text of the current request. Can be used to improve the speech's continuity when concatenating together multiple generations or to influence the speech's continuity in the current generation. Default value: undefined

next_text string

The text that comes after the text of the current request. Can be used to improve the speech's continuity when concatenating together multiple generations or to influence the speech's continuity in the current generation. Default value: undefined

language_code string

Language code (ISO 639-1) used to enforce a language for the model. Currently only Turbo v2.5 and Flash v2.5 support language enforcement. For other models, an error will be returned if language code is provided. Default value: undefined

{
  "text": "Hello! This is a test of the text to speech system, powered by ElevenLabs. How does it sound?",
  "voice": "Aria",
  "stability": 0.5,
  "similarity_boost": 0.75,
  "speed": 1
}

Output#

audio File* required

The generated audio file Default value: undefined

timestamps list<void>

Timestamps for each word in the generated speech. Only returned if timestamps is set to True in the request. Default value: undefined

{
  "audio": {
    "url": "https://v3.fal.media/files/zebra/zJL_oRY8h5RWwjoK1w7tx_output.mp3"
  }
}

Other types#

SpeechToTextRequest#

audio_url string* required

URL of the audio file to transcribe Default value: undefined

language_code string

Language code of the audio Default value: undefined

tag_audio_events boolean

Tag audio events like laughter, applause, etc. Default value: true

diarize boolean

Whether to annotate who is speaking Default value: true

VoiceCloningRequest#

audio_urls list<AudioInput>* required

List of audio files to use for voice cloning Default value: undefined

remove_background_noise boolean

Whether to remove background noise from the audio files Default value: true

TextToSpeechStreamRequest#

text string* required

The text to convert to speech Default value: undefined

voice string

The voice to use for speech generation Default value: "Rachel"

stability float

Voice stability (0-1) Default value: 0.5

similarity_boost float

Similarity boost (0-1) Default value: 0.75

style float

Style exaggeration (0-1) Default value: 0

speed float

Speech speed (0.7-1.2). Values below 1.0 slow down the speech, above 1.0 speed it up. Extreme values may affect quality. Default value: 1

File#

url string* required

The URL where the file can be downloaded from. Default value: undefined

content_type string

The mime type of the file. Default value: undefined

file_name string

The name of the file. It will be auto-generated if not provided. Default value: undefined

file_size integer

The size of the file in bytes. Default value: undefined

AudioIsolationRequest#

audio_url string* required

URL of the audio file to isolate voice from Default value: undefined

SoundEffectRequest#

text string* required

The text describing the sound effect to generate Default value: undefined

duration_seconds float

Duration in seconds (0.5-22). If None, optimal duration will be determined from prompt. Default value: undefined

prompt_influence float

How closely to follow the prompt (0-1). Higher values mean less variation. Default value: 0.3

TranscriptionWord#

text string* required

The transcribed word or audio event Default value: undefined

start float* required

Start time in seconds Default value: undefined

end float* required

End time in seconds Default value: undefined

type string* required

Type of element (word, spacing, or audio_event) Default value: undefined

speaker_id string

Speaker identifier if diarization was enabled Default value: undefined

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#

Streaming#

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#

SpeechToTextRequest#

VoiceCloningRequest#

TextToSpeechStreamRequest#

File#

AudioIsolationRequest#

SoundEffectRequest#

TranscriptionWord#

Related Models

ElevenLabs TTS Multilingual v2 Text to Audio

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#

Streaming#

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#

SpeechToTextRequest#

VoiceCloningRequest#

TextToSpeechStreamRequest#

File#

AudioIsolationRequest#

SoundEffectRequest#

TranscriptionWord#

Related Models