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ElevenLabs Multilingual V2 is Rivya's localization-friendly text-to-speech path for voiceovers that need clearer pronunciation across languages. Use it when multilingual delivery, natural tone, and cross-language consistency matter more than raw speed.
Example output
Example; generating model unverified · Best for launch videos, homepage narration, and product explainers.
Text to Speech
Example output
Example; generating model unverified · Best for launch videos, homepage narration, and product explainers.
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
Brand voiceover audio preview with polished launch narration waveform.
Input
Prompt only
What to notice
Brand voiceover audio preview with polished launch narration waveform.
Credits per use
per_1000_characters · text=12 · ⌈total⌉
Why this model works
Auto-detects and generates ~30 languages
Humanlike intonation and tonal nuance
Same voice controls: stability, similarity, style, speed
Best-fit tasks
Model proof
Decision fit
Decision fit
Best-fit tasks
Use it when the task looks like this
Quiet facts
Provider
ElevenLabs
Category
Audio
Capabilities
Text to Speech
Credit model
per_1000_characters · text=12 · ⌈total⌉
Input path
Prompt only
Prompt setup
Up to 5,000 chars
Developer access
Call ElevenLabs Multilingual V2 from Public API v1 after checking the model fields, reference media rules, and credit behavior.
ElevenLabs Multilingual V2 FAQ
ElevenLabs Multilingual V2 is strongest when the same script needs to sound believable across languages rather than just read aloud quickly once. It fits localization voiceovers, multilingual onboarding, translated marketing reads, and global creator narration when pronunciation, cross-language consistency, and a more natural spoken result matter more than raw turnaround speed.
On Rivya, ElevenLabs Multilingual V2 is a text-to-speech option with the same core voice controls as Turbo 2.5, including voice, stability, similarity boost, style, speed, timestamps, and previous or next text context. It is currently metered at about 12 credits per 1,000 characters, rounded up, and is the higher-cost option for scripts where multilingual delivery is part of the job.
Because it is currently metered at about 12 credits per 1,000 characters, rounded up, the cost is easiest to justify when rerecording or recasting multiple language versions would be slower, riskier, or less consistent. That is especially true for localized product demos, multilingual courses, and translated brand reads that need to sound like one coherent voice system.
Choose Turbo 2.5 when speed and low-cost single-language drafts matter more than multilingual nuance. Choose Multilingual V2 when the script has to travel across languages and still sound consistent, because that is where the extra cost usually starts making sense.
Start here when the first result needs to tell you whether a localized script can already sound natural enough in the target language. Use it for multilingual demos, onboarding reads, and translated brand lines when the key question is not just 'can it speak,' but 'does it still sound right in this language?'
The page is public, but the actual first voice run is still gated behind sign in. It is currently metered at about 12 credits per 1,000 characters, rounded up, so you can settle the script, target language, and voice direction first, then sign in when you are ready to render.
Stay on this page while you are checking the initial localized read and checking pronunciation or voice fit. Open the full Studio once the work needs saved takes, repeated script revisions, multiple languages, or a longer voice project around the same project.
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