Context-aware expressive speech
The model interprets speaker context, preceding events, and intended delivery to produce more expressive narration and dialogue.
Eleven v4 and Eleven v4 Turbo are expressive AI text-to-speech models for narration, dialogue, multilingual content, and real-time voice agents.
Eleven v4 and Eleven v4 Turbo are ElevenLabs text-to-speech models for generating expressive spoken audio from written scripts. V4 is positioned for emotive narration and dialogue, while v4 Turbo uses the same expressive range in a model designed for real-time interactions and voice agents.
The models support speaker-aware delivery, emotional direction, audio events, and multi-speaker scenes. Eleven v4 is available in ElevenLabs apps, and v4 Turbo is available through the API and ElevenAgents; the wider ElevenLabs platform also provides voice selection, voice cloning, Studio workflows, dubbing, and other creative audio tools, with availability varying by plan and product surface.
The model interprets speaker context, preceding events, and intended delivery to produce more expressive narration and dialogue.
Add tags such as [laughs], [whispers], pauses, and sound cues like [door slams] directly to the script to direct performance and scene details.
Generate multi-speaker scenes with emotional variation, conversational delivery, and built-in sound effects across more than 90 languages.
Context stitching is designed to maintain pacing and delivery across long scripts, helping long-form output sound continuous rather than segmented.
Regenerate individual lines while maintaining the same speaker identity across dialogue and narration, reducing vocal drift between takes.
Eleven v4 Turbo supports bidirectional streaming, with median time to first speech of about 150 ms and median inference latency of about 100 ms, according to the product page.
Create audiobooks, serialized stories, and dramatic scripts with multiple characters, pauses, emotional direction, and sound cues while using context stitching for consistent long-form delivery.
Produce podcasts, explainers, and educational material with conversational or instructional voices, multilingual versions, and controlled pacing.
Build customer-service, sales, and support agents that stream generated speech as an LLM produces text, allowing responses, confirmations, escalations, and holds to receive different delivery.
Generate localized voice content for audiences in different markets, using multilingual speech and Professional Voice Clones where the cloned voice supports the target language.
Create branded voiceovers and character performances for video, social content, games, and advertising using the broader ElevenLabs voice library and voice tools.
Eleven v4 is available through ElevenLabs web and mobile apps, while Eleven v4 Turbo is available through the API and ElevenAgents for real-time speech workflows.
Eleven v4 accepts direction in the script, including tags such as [laughs], [whispers], and [door slams]. It can also handle multi-speaker dialogue, emotional delivery, pauses, and built-in sound effects.
Eleven v4 Turbo is designed for live interactions. Text can be streamed in as an LLM generates it, with audio streamed back before the sentence is complete through bidirectional streaming.
Eleven v4 supports speech in more than 90 languages. Turbo is specifically described as speaking Japanese, Spanish, and Portuguese text with native accents, while both models support Professional Voice Clones across the languages those voices speak.
ElevenLabs uses shared credits across its products. Text to Speech is listed at approximately 1 credit per character, although the exact cost can vary by model and API pricing rules; plans include a free tier and paid tiers.
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