POST
/
v1
/
text-to-speech
/
{voice_id}

Introduction

Our AI model produces the highest-quality AI voices in the industry.

Our text to speech API allows you to convert text into audio in 29 languages and 1000s of voices. Integrate our realistic text to speech voices into your react app, use our Python library or our websockets guide to get started.

API Features

High-quality voices

1000s of voices, in 32 languages, for every use-case, at 128kbps

Ultra-low latency

As low as ~300ms (+ network latency) audio generation times with our Turbo model.

Contextual awareness

Understands text nuances for appropriate intonation and resonance.


Quick Start

Authentication

In order to use our API you need to get your xi-api-key first. Create an account, log in and in the lower left corner click on your profile picture -> “Profile + API key”.

Visit profile

Next click on the eye icon on your profile to access your xi-api-key. Do not show your account to anyone else. If someone gains access to your xi-api-key he can use your account as he could if he knew your password.

You can generate a new xi-api-key at any time by clicking on the spinning arrows next to the text field. This will invalidate your old xi-api-key.

Audio generation

Generate spoken audio from text with a simple request like the following Python example:

import requests

CHUNK_SIZE = 1024
url = "https://api.elevenlabs.io/v1/text-to-speech/<voice-id>"

headers = {
  "Accept": "audio/mpeg",
  "Content-Type": "application/json",
  "xi-api-key": "<xi-api-key>"
}

data = {
  "text": "Born and raised in the charming south, 
  I can add a touch of sweet southern hospitality 
  to your audiobooks and podcasts",
  "model_id": "eleven_monolingual_v1",
  "voice_settings": {
    "stability": 0.5,
    "similarity_boost": 0.5
  }
}

response = requests.post(url, json=data, headers=headers)
with open('output.mp3', 'wb') as f:
    for chunk in response.iter_content(chunk_size=CHUNK_SIZE):
        if chunk:
            f.write(chunk)

Voices

We offer 1000s of voices in 29 languages. Visit the Voice Lab to explore our pre-made voices or clone your own. Visit the Voices Library to see voices generated by ElevenLabs users.

Generation & Concurrency Limits

All our models support up to 10k characters (~10 minutes of audio) in a single request. To achieve consistency over long form audio, try request stitching.

The concurrency limit (the maximum number of concurrent requests you can run in parallel) depends on the tier you are on.

  • Free: 2
  • Starter: 3
  • Creator: 5
  • Pro: 10
  • Scale: 15
  • Business: 15

If you need a higher limit, reach out to our Enterprise team to discuss a custom plan.

Supported languages

Our TTS API is multilingual and currently supports the following languages:

Chinese, Korean, Dutch, Turkish, Swedish, Indonesian, Filipino, Japanese, Ukrainian, Greek, Czech, Finnish, Romanian, Russian, Danish, Bulgarian, Malay, Slovak, Croatian, Classic Arabic, Tamil, English, Polish, German, Spanish, French, Italian, Hindi, Portuguese, Hungarian, Vietnamese and Norwegian.

To use them, simply provide the input text in the language of your choice.


Headers

xi-api-key
string

Your API key. This is required by most endpoints to access our API programatically. You can view your xi-api-key using the 'Profile' tab on the website.

Path Parameters

voice_id
string
required

Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices.

Query Parameters

enable_logging
boolean
default: true

When enable_logging is set to false full privacy mode will be used for the request. This will mean history features are unavailable for this request, including request stitching. Full privacy mode may only be used by enterprise customers.

optimize_streaming_latency
integer
deprecated

You can turn on latency optimizations at some cost of quality. The best possible final latency varies by model. Possible values: 0 - default mode (no latency optimizations) 1 - normal latency optimizations (about 50% of possible latency improvement of option 3) 2 - strong latency optimizations (about 75% of possible latency improvement of option 3) 3 - max latency optimizations 4 - max latency optimizations, but also with text normalizer turned off for even more latency savings (best latency, but can mispronounce eg numbers and dates).

Defaults to None.

output_format
string
default: mp3_44100_128

Output format of the generated audio. Must be one of: mp3_22050_32 - output format, mp3 with 22.05kHz sample rate at 32kbps. mp3_44100_32 - output format, mp3 with 44.1kHz sample rate at 32kbps. mp3_44100_64 - output format, mp3 with 44.1kHz sample rate at 64kbps. mp3_44100_96 - output format, mp3 with 44.1kHz sample rate at 96kbps. mp3_44100_128 - default output format, mp3 with 44.1kHz sample rate at 128kbps. mp3_44100_192 - output format, mp3 with 44.1kHz sample rate at 192kbps. Requires you to be subscribed to Creator tier or above. pcm_16000 - PCM format (S16LE) with 16kHz sample rate. pcm_22050 - PCM format (S16LE) with 22.05kHz sample rate. pcm_24000 - PCM format (S16LE) with 24kHz sample rate. pcm_44100 - PCM format (S16LE) with 44.1kHz sample rate. Requires you to be subscribed to Pro tier or above. ulaw_8000 - μ-law format (sometimes written mu-law, often approximated as u-law) with 8kHz sample rate. Note that this format is commonly used for Twilio audio inputs.

Body

application/json
text
string
required

The text that will get converted into speech.

model_id
string
default: eleven_monolingual_v1

Identifier of the model that will be used, you can query them using GET /v1/models. The model needs to have support for text to speech, you can check this using the can_do_text_to_speech property.

language_code
string

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

voice_settings
object

Voice settings overriding stored setttings for the given voice. They are applied only on the given request.

pronunciation_dictionary_locators
object[]

A list of pronunciation dictionary locators (id, version_id) to be applied to the text. They will be applied in order. You may have up to 3 locators per request

seed
integer

If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Determinism is not guaranteed.

previous_text
string

The text that came before the text of the current request. Can be used to improve the flow of prosody when concatenating together multiple generations or to influence the prosody in the current generation.

next_text
string

The text that comes after the text of the current request. Can be used to improve the flow of prosody when concatenating together multiple generations or to influence the prosody in the current generation.

previous_request_ids
string[]

A list of request_id of the samples that were generated before this generation. Can be used to improve the flow of prosody when splitting up a large task into multiple requests. The results will be best when the same model is used across the generations. In case both previous_text and previous_request_ids is send, previous_text will be ignored. A maximum of 3 request_ids can be send.

next_request_ids
string[]

A list of request_id of the samples that were generated before this generation. Can be used to improve the flow of prosody when splitting up a large task into multiple requests. The results will be best when the same model is used across the generations. In case both next_text and next_request_ids is send, next_text will be ignored. A maximum of 3 request_ids can be send.

use_pvc_as_ivc
boolean
default: falsedeprecated

If true, we won't use PVC version of the voice for the generation but the IVC version. This is a temporary workaround for higher latency in PVC versions.

Response

200 - audio/mpeg

The response is of type file.