ElevenLabs Dialogue V3

What Is ElevenLabs Dialogue V3

ElevenLabs Dialogue V3 is the multi-speaker AI voice generation feature on Kling AI Video, powered by ElevenLabs' Eleven v3 model. Unlike standard text-to-speech that generates a single voice reading a continuous block of text, Dialogue V3 is built for conversation: it accepts a structured script with multiple speakers, assigns a distinct voice to each, and returns a single cohesive audio output where every speaker sounds natural, emotionally matched, and correctly paced in relation to the others.

On Kling AI Video, the feature runs with 113 curated preset voices across 75 languages. Audio tags — inline markers for emotion, delivery, nonverbal expression, accent, and pacing — give you per-line control over how each voice performs. And the audio output connects directly to AI Avatar: write a script, generate the dialogue, and animate a portrait image to lip-sync the result, all without leaving the platform. The path from written script to finished talking-head video runs in one Kling AI Video workflow.

---

How ElevenLabs Dialogue V3 Works

1. Write your dialogue script — Structure the content as a sequence of lines, each assigned to a named speaker. Each line represents one turn in the conversation. There is no limit on the number of speakers or lines; the only constraint is 5,000 characters total across all combined lines.

2. Assign voices and direct delivery — Select one of 113 preset voices for each speaker. Preview any voice before committing. Insert audio tags inline — [excited], [whispering], [laughs softly] — to direct specific moments without changing how the rest of the script sounds.

3. Set stability and generate — Choose Creative, Natural, or Robust stability for the overall delivery. Natural (the default) covers most production use. Generate the audio. The output is a single file with all speakers, transitions, and pacing rendered together — ready to use as-is or to pass into AI Avatar.

---

Audio Tags — Emotion and Delivery Control

Audio tags are what separate ElevenLabs Dialogue V3 from a reading tool. Inserted as inline square-bracket markers in the script, they tell the model how to deliver a specific word, phrase, or line — without affecting anything else in the generation.

Six categories of audio tags are supported:

• Emotion — [happy], [sad], [angry], [nervous] — sets the emotional state for the tagged text
• Delivery — [whispering], [shouting], [slow] — controls how the voice physically produces the sound
• Nonverbal — [laughs], [sighs], [gasps] — adds natural non-speech sounds that feel genuine rather than inserted
• Sound Effects — [applause], [door slamming], [thunder] — places ambient or reactive audio cues inline with the dialogue
• Accent — [French accent], [British accent] — shifts the voice's regional character for a specific line only
• Pacing — [slowly], [quickly], [dramatic pause] — shapes the rhythm of delivery on that line

Tags combine on the same phrase: [excited][quickly] We got the contract! produces a fast, energetic delivery for that line. The next line returns to the default delivery unless tagged. This per-line precision is what makes Dialogue V3 practical for content that needs a voice performance — a brand spokesperson who shifts from authoritative to warm, a character who moves from confident to uncertain — without requiring re-recording or separate production passes.

---

Multi-Speaker Dialogue

There is no limit on the number of speakers in a Dialogue V3 generation. Each speaker is assigned independently — their own voice, their own stability setting, their own audio tag configuration. The system handles speaker transitions, natural pauses between turns, overlapping conversational energy, and the pacing that makes two or more voices sound like an actual exchange rather than alternating readings.

Two-host conversation — The practical format for podcast-style content, product explainer dialogue, and educational Q&A segments. Each host has a distinct voice type; the dialogue mode keeps the exchange sounding fluid and balanced without manual timing adjustments.

Character dialogue — For narrative content, storytelling, and multi-character scenes. Multiple characters with distinct voices, emotional ranges, and speaking styles appear in the same output file. Combine with audio tags to give each character a consistent delivery profile across the full script.

---

113 Voices, 75 Languages

Kling AI Video provides access to 113 curated preset voices for ElevenLabs Dialogue V3 — a selected collection covering the voice types most used in production: spokesperson and brand voice, educational narrator, character dialogue, conversational host, and expressive performer. Each preset has a cloud-hosted audio preview available in the voice selector before any generation is run.

75 languages are supported, including Auto detect. The same script structure and audio tag configuration work across all supported languages. The workflow for multilingual content is direct: write the script once, generate the audio in each target language, and pair each language version with the same portrait image in AI Avatar. The character's visual identity stays consistent across all versions; the voice is the only variable.

For teams producing content across markets — a product launch in English, Spanish, and Japanese with the same brand spokesperson — this combination of voices, languages, and direct Avatar workflow removes the production overhead that would otherwise require separate recording sessions per language.

---

From Script to AI Avatar — The Complete Pipeline

The most practical workflow for ElevenLabs Dialogue V3 on Kling AI Video is its direct connection to AI Avatar. Generate the dialogue audio, then send it into the Avatar workflow with a portrait image.

On a standalone tool workflow, the process involves multiple platforms: generate audio on a TTS service, download the file, upload it to an avatar tool, run the generation. Each step is a manual hand-off between tools.

On Kling AI Video, the complete path stays on one platform:

1. Write the dialogue in Text-to-Speech — assign voices, add audio tags, set stability
2. Generate the audio
3. Open AI Avatar, upload a portrait image, and use the generated audio
4. Generate the lip-synced video

The character speaks exactly what was written, in the chosen voice, with the emotional direction set in the script. The same portrait image can be animated with different audio files — different languages, different scripts, different tones — producing a library of consistent avatar videos from a single character image.

For a detailed look at the AI Avatar tool's character types, model tiers, and portrait requirements, see the Kling AI Avatar guide.

---

What You Can Create with ElevenLabs Dialogue V3

AI Avatar talking-head video — The primary integrated workflow on this platform. Write a script, generate the voice with Dialogue V3, then send that audio into AI Avatar. The character speaks the script with the delivery you directed. Consistent across every production, in any language.

Podcast and multi-host audio content — Two or more voices in natural conversation. The dialogue mode handles speaker turns, timing, and emotional interplay. Produce a complete interview segment, a two-host discussion, or an audio drama scene from a script alone — no recording studio, no scheduling.

Multilingual content localization — Generate the same script in multiple languages without re-recording or re-casting. The same audio tag configuration applies across languages, keeping character delivery consistent even as the language changes. Combine with AI Avatar for fully localized video content.

Educational and course narration — An instructor voice reading lesson content with emotional variation that holds attention across long-form material. Audio tags add emphasis at key moments and natural pacing between sections.

Product explainer and demo voiceover — Scripted walkthroughs with a consistent brand voice. Pair with Kling 3.0 video generation for surrounding scene footage — both tools are available on Kling AI Video.

Audiobook and storytelling — Multiple character voices, emotional range, and dramatic pacing from a single generation. Each character has a distinct voice profile; audio tags direct performance at the line level.

---

Eleven v3 vs Eleven v2 — What Changed

The shift from v2 to v3 is primarily about expressiveness and structure. v3 is built for scripted dialogue and directed performance — the audio tags, dialogue mode, and wider language support all serve that goal. For long single-speaker narration where stable, predictable delivery matters most, v2 remains a strong choice. On Kling AI Video, Text-to-Speech uses Eleven v3 via the Text to Dialogue API as the production-standard model.

---

Technical Specifications

---

What to Know Before You Generate

The 5,000-character limit is the total of all dialogue lines combined. A ten-line two-speaker exchange at 80 characters per line uses 800 characters — well within the limit. Full podcast segments or multi-chapter scripts will need to be split into generation segments and assembled in post-production.

Audio tag effectiveness varies by voice. Some preset voices respond more dramatically to emotion tags than others. Use the voice preview to establish a baseline, then test with audio tags before running a full generation for production content.

Natural stability covers most use cases. Creative stability produces expressive, varied delivery but introduces more variability across a long script — better for dramatic or character-heavy content. Robust stability keeps tone uniform across all lines — better for brand or instructional content where consistency is the priority.

Plan script segments around AI Avatar's 15-second limit. If the dialogue is going into AI Avatar, keep each generation segment under 15 seconds of output. Natural script breaks — topic transitions, section shifts — are practical edit points that also give you control over tone and pacing between Avatar segments.

Multilingual generation uses the same tag structure. Audio tag categories work across all 75 supported languages. A [excited] tag in a Spanish script behaves the same way as in an English script. This means a multilingual content pipeline can share the same script structure and delivery direction across all language versions.

---

Who Uses ElevenLabs Dialogue V3

Generate your first dialogue →