Text To Speech
API that converts text into lifelike speech with best-in-class latency & uses the most advanced AI audio model ever. Create voiceovers for your videos, audiobooks, or create AI chatbots for free.
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.
Streaming API
Dig into the details of using the ElevenLabs TTS API.
Websockets
Learn how to use our API with websockets.
Join Our Discord
A great place to ask questions and get help from the community.
Integration Guides
Learn how to integrate ElevenLabs into your workflow.
Headers
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 to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices.
Query Parameters
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.
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 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
The text that will get converted into speech.
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 (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 overriding stored setttings for the given voice. They are applied only on the given request.
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
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.
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.
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.
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.
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.
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
The response is of type file.