ElevenLabs TTS

  • Eleven v3

byElevenLabs

Direct expressive character dialogue and studio narration with dynamic prosody, organic micro-breaths, and inline theatrical cues

How ElevenLabs TTS works

Go from raw script to emotionally charged vocal performance in three streamlined steps.

ElevenLabs TTS: Script with directorial cues. Real local Fuser canvas capture.

Script with directorial cues

Compose dialogue or narration using bracketed tags like [whispers] and punctuation like em dashes to set the acting rhythm.

ElevenLabs TTS: Tune voice and stability. Real local Fuser canvas capture.

Tune voice and stability

Select a baseline voice archetype and set stability from 0.30 for dramatic inflection to 0.85 for steady narration.

ElevenLabs TTS: Generate expressive audio. Real local Fuser canvas capture.

Generate expressive audio

Produce studio-quality speech with contextual phrasing, organic micro-breaths, and precise phonetic normalization.

What ElevenLabs TTS is good at

From bracketed theatrical cues to granular stability tuning, command voice synthesis with directorial nuance.

Inline performance tags

Insert natural bracketed cues like [whispers], [laughs], [sighs], and [excited] directly into your script to shape emotional inflection without complex markup.

Granular stability control

Dial stability down to 0.30–0.50 for wide emotional range and micro-pauses, or increase it to 0.70–0.85 for steady, repeatable commercial voiceovers.

Punctuation-driven cadence

Guide speech rhythm using em dashes for pregnant pauses, ellipses for hesitant beats, and capitalization for vocal stress that responds to dramatic context.

Multilingual ISO targeting

Maintain vocal timbre and character identity across dozens of target languages by setting standard ISO 639-1 codes for accurate regional pronunciation.

Made with ElevenLabs TTS

Explore realistic speech generations spanning cinematic acting, archival documentaries, and dynamic commercials.

Cinematic thriller dialogue with whispered tension and dramatic audio tags

Documentary nature voiceover with measured studio cadence

Commercial advertising voiceover with crisp delivery

Audio drama character monologue with natural micro-breaths

Character dialogue with sarcastic inflection and light chuckle

What people build with ElevenLabs TTS

See how audio directors, game writers, and commercial producers craft expressive vocal tracks.

Cinematic voice acting

01

Direct dramatic character performances and interactive dialogue with authentic micro-breaths, whisper tags, and emotional tension.

Documentary narration

02

Produce authoritative, broadcast-ready voiceovers for archival features, scientific explainers, and long-form narrative series.

Brand advertising campaigns

03

Deliver high-energy commercial spots and promotional voice tracks with clean diction, polished timbre, and consistent pacing.

Audio drama production

04

Cast distinct vocal personas across multi-character audio plays with reactive prosody, dramatic pauses, and comedic timing.

Multilingual localization

05

Localize global marketing campaigns and instructional content into regional languages while preserving signature voice profiles.

ElevenLabs TTS specs

Plans and credits
Inputs
Text, Language Code (text)
Output
audio
Cost
3 credits per run

Frequently asked questions

Yes, Eleven v3 is the underlying expressive speech synthesis architecture powering this node. It introduces dynamic emotional prosody, natural micro-breaths, and inline theatrical tags like [whispers] and [laughs] to produce lifelike vocal performances.

Set stability between 0.30 and 0.50 for dramatic character acting, dialogue, and scripts using inline emotion tags. For e-learning, news reading, technical explainers, or any project requiring uniform, repeatable delivery across lines, set stability to between 0.70 and 0.85.

Place natural language tags in brackets directly before the dialogue—such as [whispers], [sighs], [laughs], or [excited]. Combine these tags with punctuation like em dashes (—) for pauses and keep stability around 0.30–0.50 so the model can freely interpret the dramatic cues.

Pass a two-letter ISO 639-1 code such as en, es, fr, de, or ja into the language_code parameter. This enforces regional pronunciation rules while preserving the acoustic persona and timbre of your chosen voice.

Avoid this model when sub-100ms turn latency is strictly required, such as in real-time telephony agents. It is also not recommended for unstitched multi-hour continuous audiobooks where seamless prosodic uniformity across separate API chunks without voice drift is critical.

Try ElevenLabs TTS on Fuser

Direct expressive character dialogue and studio narration with dynamic prosody, organic micro-breaths, and inline theatrical cues

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