Text to Speech
Learn how to turn text into lifelike spoken audio with ElevenLabs.
ElevenLabs Text to Speech (TTS) API turns text into lifelike audio with nuanced intonation, pacing and emotional awareness. Our models adapt to textual cues across 32 languages and multiple voice styles and can be used to:
Listen to a sample:
Explore our voice library to find the perfect voice for your project.
Step-by-step guide for using text to speech in ElevenLabs.
Learn how to integrate text to speech into your application.
Full API reference for the Text to Speech endpoint.
For real-time applications, Flash v2.5 provides ultra-low 75ms latency, while Multilingual v2 delivers the highest quality audio with more nuanced expression.
Our most emotionally rich, expressive speech synthesis model
Lifelike, consistent quality speech synthesis model
Our fast, affordable speech synthesis model
ElevenLabs offers thousands of voices across 32 languages through multiple creation methods:
Learn more about our voice options.
The default response format is mp3, but other formats like pcm and ulaw are available.
Higher quality audio options are only available on paid tiers - see our pricing page for details.
Our multilingual v2 models support 29 languages:
English (USA, UK, Australia, Canada), Japanese, Chinese, German, Hindi, French (France, Canada), Korean, Portuguese (Brazil, Portugal), Italian, Spanish (Spain, Mexico), Indonesian, Dutch, Turkish, Filipino, Polish, Swedish, Bulgarian, Romanian, Arabic (Saudi Arabia, UAE), Czech, Greek, Finnish, Croatian, Malay, Slovak, Danish, Tamil, Ukrainian & Russian.
Flash v2.5 supports 32 languages - all languages from v2 models plus:
Hungarian, Norwegian & Vietnamese
Simply input text in any of our supported languages and select a matching voice from our voice library. For the most natural results, choose a voice with an accent that matches your target language and region.
The models interpret emotional context directly from the text input. For example, adding descriptive text like “she said excitedly” or using exclamation marks will influence the speech emotion. Voice settings like Stability and Similarity help control the consistency, while the underlying emotion comes from textual cues.
Read the prompting guide for more details.
Descriptive text will be spoken out by the model and must be manually trimmed or removed from the audio if desired.
Yes, you can create instant voice clones of your own voice from short audio clips. For high-fidelity clones, check out our professional voice cloning feature.
Yes. You retain ownership of any audio you generate. However, commercial usage rights are only available with paid plans. With a paid subscription, you may use generated audio for commercial purposes and monetize the outputs if you own the IP rights to the input content.
A free regeneration allows you to regenerate the same text to speech content without additional cost, subject to these conditions:
Free regenerations are useful in case there is a slight distortion in the audio output. According to ElevenLabs’ internal benchmarks, regenerations will solve roughly half of issues with quality, with remaining issues usually due to poor training data.
Use the low-latency Flash models (Flash v2 or v2.5) optimized for near real-time conversational or interactive scenarios. See our latency optimization guide for more details.
The models are nondeterministic. For consistency, use the optional seed parameter, though subtle differences may still occur.
Split long text into segments and use streaming for real-time playback and efficient processing. To maintain natural prosody flow between chunks, include previous/next text or previous/next request id parameters.
seed parameter for more consistent resultseleven_flash_v2 or eleven_flash_v2_5) — see the latency optimization guideprevious_text / next_text parameters to maintain natural prosody across chunks