Host A: Welcome back to Launch Notes, where we break down new AI tools without the hype. Host B: And where we turn those launches into workflows you can actually use this week.
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.
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
Online trial
No result yet. Submit a prompt to start a run.
Prompt starters
Model proof
Use the online trial above, then compare these example results to judge finish, rhythm, and task fit before you spend more credits in Studio.
Lead sample
Waveform and cover art for a dual-host podcast intro audio preview.
Input
Dialogue lines + voice settings
What to notice
Waveform and cover art for a dual-host podcast intro audio preview.
Credits per use
per_1000_characters · dialogue_text=14 · ⌈total⌉
Why this model works
Multi-speaker dialogue generation
Individual voice assignment per character
Adjustable stability for consistent delivery
Best-fit tasks
Model proof
Decision fit
Decision fit
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.
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.
Compare alternatives
Suno Music is Rivya's text-to-music model for turning one short brief into a first song draft with or without vocals. It keeps the fixed `12` credit entry point and exposes `Extend Music` as the next step after a successful track.
Why consider it
Consider it when your next task needs Prompt only.
Suno Sounds is Rivya's lightweight text-to-sound model for ambience loops, background sound, and short sonic sketches. It keeps the documented fixed price of `2.5` credits per generation and lets successful results continue into `Vocal Separation`.
Why consider it
Consider it when your next task needs Prompt only.
Suno Lyrics is Rivya's lyric-generation model for turning one theme or mood into song words at a fixed cost of `1` credit per request.
Why consider it
Consider it when your next task needs Prompt only.
Example; generating model unverified · Playable draft dialogue example for an AI workflow podcast transition.
Podcast segment transition waveform preview for an audio prompt template.
Example; generating model unverified · Playable draft example for Feature Release Podcast Bumper.
Waveform preview for the Rivya audio prompt template Feature Release Podcast Bumper.
Example; generating model unverified · Playable draft example for Two-Speaker Case Study Dialogue.
Waveform preview for the Rivya audio prompt template Two-Speaker Case Study Dialogue.
Example; generating model unverified · Playable draft example for Sales Call Practice Dialogue.
Waveform preview for the Rivya audio prompt template Sales Call Practice Dialogue.
Example; generating model unverified · Playable draft example for Support Training Roleplay.
Waveform preview for the Rivya audio prompt template Support Training Roleplay.
Best-fit tasks
Use it when the task looks like this
Quiet facts
Provider
ElevenLabs
Category
Audio
Capabilities
Dialogue to Audio
Credit model
per_1000_characters · dialogue_text=14 · ⌈total⌉
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.