ElevenLabs TTS v3

• 🆕 Eleven v3, ElevenLabs' most advanced speech synthesis model
• 🌐 Supports 70+ languages, broadest in the lineup
• 🎯 Inline audio tags trigger whispers, sighs, laughter
• 🧠 High emotional range with contextual understanding of text
• 🔧 Stability control and automatic text normalization
• 💬 New Text to Dialogue API generates multi-speaker audio
• 📏 Up to roughly 3,000 characters per generation
• 🏢 Proprietary, API-only; released February 2026

ElevenLabs

ElevenLabs is a software company specializing in natural-sounding speech synthesis and audio generation powered by deep learning. The company has established itself as a leading force in AI-driven voice technology, building tools that span text-to-speech,…

ElevenLabs TTS v3 exposes Eleven v3, which ElevenLabs documents as its latest and most advanced speech synthesis model, designed to produce natural, life-like speech with high emotional range and contextual understanding across many languages. Within Venice's catalog it sits alongside siblings like ElevenLabs Multilingual v2, ElevenLabs Turbo v2.5, and the separate ElevenLabs Music generator. The Venice integration emphasizes high-quality voices with stability control and automatic text normalization, which the provider's API documents as parameters governing consistency and correct pronunciation.

Compared with its same-family predecessor Multilingual v2, Eleven v3 was, per ElevenLabs, built from the ground up to deliver voices that sigh, whisper, laugh, and react, producing speech the company describes as genuinely responsive. A concrete generational change is language coverage: ElevenLabs lists Eleven v3 at 70+ languages versus 29 for Multilingual v2. It also introduces inline audio tags—lowercase bracketed cues placed directly in the script—for expressive control that earlier models lacked.

Alongside the existing Text to Speech endpoint, ElevenLabs added a Text to Dialogue API for Eleven v3, where a structured array of speaker turns yields a cohesive, overlapping multi-speaker audio file. ElevenLabs notes a tradeoff: it documented Eleven v3 as a research-preview model and recommended staying with Turbo or Flash v2.5 for real-time and conversational use cases, with a real-time v3 in development. The provider lists a per-generation limit of roughly 3,000 characters for v3, shorter than Multilingual v2's 10,000.

ElevenLabs Inc., founded in 2022, specializes in deep-learning speech synthesis, and these are proprietary, API-accessed models rather than open weights.