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Complete Guide to Using ElevenLabs Multilingual V2

Speak any language with native-quality pronunciation and natural expression across 29+ languages.

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Overview

ElevenLabs Multilingual V2 delivers high-quality text-to-speech across 29 languages with pronunciation accuracy that approaches native speakers. Unlike models that simply apply phonetic rules, Multilingual V2 understands the prosody, rhythm, and intonation patterns specific to each language, producing speech that sounds natural to native listeners.

The model handles language-specific challenges that trip up generic TTS systems: tonal distinctions in Mandarin, gendered grammar in Romance languages, complex consonant clusters in Polish, and the rhythmic patterns of Arabic. It even manages code-switching -- text that transitions between languages mid-sentence -- with appropriate pronunciation shifts.

For creators producing content for international audiences, Multilingual V2 eliminates the need for separate voice talent in each language. A single generation workflow covers global content needs with consistent quality. This is particularly powerful for video content on Invoomen, where multilingual voiceovers can be produced and layered directly in the editor.

Capabilities

  • Supports 29+ languages with native-quality pronunciation
  • Models language-specific prosody, rhythm, and intonation patterns
  • Handles code-switching between languages within the same text
  • Maintains voice identity consistency across different languages
  • Supports both Latin and non-Latin scripts natively
  • Produces natural expression in every supported language

Use Cases

1

Creating multilingual voiceovers for videos targeting global audiences

2

Producing localized versions of narrated content without hiring translators per language

3

Generating language learning content with accurate native pronunciation

4

Building multilingual product demos and marketing materials

5

Creating accessible audio content in languages where voice talent is scarce

Input Parameters

Text
textarearequired
Voice
select
Options
RachelAriaRogerSarahLauraCharlieGeorgeCallumLiamCharlotteAliceMatildaWillJessicaEricChrisBrianDanielLilyBill
Default: Rachel
Stability
slider

For languages with more tonal variation (e.g., Mandarin, Thai), consider slightly lower stability to allow natural tonal expression. For languages with more consistent intonation, higher stability works well.

Min: 0Max: 1Default: 0.5
Similarity Boost
slider
Min: 0Max: 1Default: 0.75
Style Exaggeration
slider
Min: 0Max: 1Default: 0
Speed
slider
Min: 0.7Max: 1.2Default: 1
Language
select
Options
Auto DetectEnglishSpanishFrenchGermanItalianPortugueseArabicHindiJapaneseKoreanChinese
Default:

Tips & Best Practices

Use proper text in the target language
Choose Multilingual V2 over Turbo for non-English
Test voice-language compatibility

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