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ElevenLabs TTS v4

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Quick reference
ElevenLabs TTS v4 โ€” TLDR
  • ๐Ÿ†• ElevenLabs' newest text-to-speech generation, released September 2026, succeeding Eleven v3.
  • ๐Ÿ’ฌ Built for produced content: audiobooks, dubbing, character voiceovers, emotional dialogue.
  • ๐Ÿ”ง Inline audio tags direct emotion, delivery and sound events; tag-following improved over v3.
  • ๐ŸŽฏ Professional Voice Clones supported again โ€” they were unavailable in v3.
  • ๐Ÿ“ Context stitching keeps pacing and speaker identity steady across long scripts.
  • ๐ŸŒ Multi-speaker dialogue plus broader language coverage than v3, per ElevenLabs.
  • โšก Automatic text normalization; a separate Turbo variant targets real-time latency.
  • ๐Ÿ”’ No SSML support; Style and Speed sliders removed in v4.
๐Ÿ’ฐ Pricing
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๐Ÿ“… On Venice since
Sep 29, 2026
3 days ago
Provider

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,โ€ฆ

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10 models on Venice
8 music ยท 1 tts ยท 1 asr
Since Feb 22, 2026

About this model

ElevenLabs TTS v4 exposes Eleven v4, the company's newest text-to-speech generation and the successor to ElevenLabs TTS v3. ElevenLabs positions it as the quality-first option for produced audio โ€” audiobooks, narration, dubbing, character performances and emotionally varied dialogue โ€” with the low-latency ElevenLabs TTS v4 Turbo covering real-time voice agents at a reported median inference latency of roughly 100 ms.

Against its own predecessors, ElevenLabs' documentation states that v4 improves output quality, voice accuracy, consistency, emotion, delivery, audio tags and language coverage compared with Eleven v3. Two concrete functional differences matter most in practice: Professional Voice Clones, which v3 did not support, work in v4, and the company reports that tag sequences โ€” including sound effects โ€” are followed more reliably, with International Phonetic Alphabet pronunciation handling significantly improved. A new speaker-identity method is described as preserving each voice's unique qualities, and context stitching is meant to hold pacing and delivery steady so a long script sounds like one continuous take.

Compared to the older generation still available as ElevenLabs Multilingual v2 and ElevenLabs Turbo v2.5, v4 trades fixed Style and Speed controls for prompt-level direction through audio tags; SSML is not supported, and stability and similarity sliders remain.

In Venice, the model accepts text with audio-tag markup and applies automatic text normalization, an option also exposed on the ElevenLabs API for numbers, dates and similar strings. It sits alongside ElevenLabs' non-speech audio models such as ElevenLabs Music v2.5 and ElevenLabs Sound Effects, plus [[sibling:elevenlabs/scribe-v2|ElevenLabs Scribe V2]] for transcription.

This About section is AI-generated from public sources (Claude Opus 5), with no human editing. It may contain inaccuracies โ€” verify critical details against the sources listed above.

Data sources: Venice API ยท HuggingFace ยท Wikipedia โ€” enrichment updated 2d ago