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ElevenLabs Dialogue V3 is Rivya's multi-speaker AI voice generator for podcasts, interviews, role-play scenes, and scripted conversations. Use it when timing between speakers matters more than single-narrator TTS.
The final task cost is rounded up to whole credits.
Online trial
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Prompt starters
Model examples
Browse template previews for ideas. Each caption indicates whether generation with this model has been verified.
ElevenLabs Dialogue V3 FAQ
ElevenLabs Dialogue V3 is strongest when the audio depends on timing between speakers rather than on a single narrator reading everything straight through. It fits podcast exchanges, interview-style scripts, character scenes, audio drama prototypes, and any role-based voice work where multiple people need to sound distinct inside one rendered pass.
On Rivya, ElevenLabs Dialogue V3 is a dialogue-to-audio option with per-character voice assignment and delivery controls. It is currently metered at about 14 credits per 1,000 characters, rounded up, and the main public controls are default voice, stability, and language code, which keeps it centered on script-and-performance setup rather than post-production.
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Example output
Example; generating model unverified · Two-speaker opener with a confident welcome and quick handoff.
Dialogue to Audio
Example output
Example; generating model unverified · Two-speaker opener with a confident welcome and quick handoff.
Best for
Supports
Example; generating model unverified · Two-speaker opener with a confident welcome and quick handoff.
Example; generating model unverified · Playable draft dialogue example for an AI workflow podcast transition.
Example; generating model unverified · Playable draft example for Feature Release Podcast Bumper.
Example; generating model unverified · Playable draft example for Two-Speaker Case Study Dialogue.
Example; generating model unverified · Playable draft example for Sales Call Practice Dialogue.
Example; generating model unverified · Playable draft example for Support Training Roleplay.
Decision fit
Decision fit
Best-fit tasks
Use it when the task looks like this
Model details
Provider
ElevenLabs
Category
Audio
Capabilities
Dialogue to Audio
Credit model
Credit rate: 14 / 1,000 characters
Input path
Dialogue lines + voice settings
Prompt setup
Script-led dialogue
Developer access
Call ElevenLabs Dialogue V3 from Public API v1 after checking the model fields, reference media rules, and credit behavior.
The real question is whether the cast separation is clear enough. Voice choice sets the speaker identity, stability affects how steady and predictable each read feels, and language code matters when the script needs multilingual delivery. If those three pieces are working, the model usually already tells you whether the scene can hold as dialogue rather than as stitched single-voice clips.
Because it is currently metered at about 14 credits per 1,000 characters, rounded up, the cost is easiest to justify when one render needs to prove the chemistry, pacing, and voice separation of the exchange. That is especially true for podcast intros, interview reads, and story scenes where hearing both sides together matters more than checking lines one by one.
Choose a single-speaker ElevenLabs option when the script only needs one narrator or one clean voiceover. Choose Dialogue V3 when the exchange itself is the product, and the scene needs multiple speakers to feel like a single conversation instead of a stack of separate reads.
Start here when the first result needs to tell you whether a conversation scene actually works as audio. Use it for podcast banter, interview reads, character dialogue, and table-read style tests where the key question is whether the voices, pacing, and turn-taking feel right together.
This page is a dialogue-to-audio option, not a generic TTS page. Before the first result, the public setup is about assigning a default voice, adjusting stability, and setting language code, so the focus stays on casting and delivery rather than on stitching separate voice files together later.
Before you run, make sure the speaker voices are clearly separated, use stability to decide how controlled versus expressive the read should feel, and set language code when pronunciation or multilingual delivery matters. Those choices usually do more for the first result than endlessly polishing the script before you hear it.
The page is public, but the actual first dialogue render is still gated behind sign in. It is currently metered at about 14 credits per 1,000 characters, rounded up, so you can settle the script, speaker separation, and delivery direction first, then sign in when you are ready to render.
Stay on this page while you are testing the first read of a conversation and checking whether the cast and pacing work. Open the full Studio once the job needs saved takes, repeated script revisions, multiple clips, or a longer voice project around the same scene or show.
ElevenLabs' fast text-to-speech model on Rivya. With low-latency voice generation and adjustable stability, similarity, style, and speed, it is built for rapid voiceover drafts and interactive TTS projects.
Why consider it
Consider it when your next task needs Prompt only.