Overview
ElevenLabs Multilingual V2 is one of the most advanced text-to-speech models available, delivering lifelike, emotionally-aware speech synthesis. It excels at producing natural intonation, appropriate pacing, and nuanced emotional expression across 29+ languages.
The model supports a wide variety of pre-built voices ranging from professional and authoritative to warm and conversational, making it ideal for everything from audiobook narration to customer service applications.
Key Features
- Multilingual Support: Native support for 29+ languages including English, Chinese, Japanese, Korean, Spanish, French, German, and more
- Emotionally-Aware Speech: Automatically adjusts tone and expression based on text context
- 21 Pre-Built Voices: Diverse selection of male, female, and neutral voices with distinct characteristics
- Fine-Grained Control: Adjust stability, similarity, style, and speed for precise output customization
- High Character Limit: Process up to 5,000 characters per request
Available Voices
| Voice | Type | Best For |
|---|
| Rachel | Female | Default, warm and natural |
| Brian | Male | Professional, authoritative |
| Daniel | Male | Clear, educational content |
| Sarah | Female | Friendly, conversational |
| Aria | Female | Energetic, youthful |
| Charlotte | Female | Elegant, sophisticated |
| George | Male | Mature, trustworthy |
| Lily | Female | Soft, gentle narration |
Voice Parameters
| Parameter | Range | Default | Description |
|---|
| Stability | 0-1 | 0.5 | Higher = more consistent, Lower = more expressive |
| Similarity Boost | 0-1 | 0.75 | Voice characteristic preservation |
| Style | 0-1 | 0 | Style exaggeration level |
| Speed | 0.7-1.2 | 1.0 | Speech rate adjustment |
Use Cases
Audiobook Narration
Create engaging audiobook content with consistent voice quality across long-form text. Use higher stability (0.7-0.9) for professional narration.
E-Learning & Tutorials
Generate clear, educational audio content. Recommended voices: Daniel, Brian, Sarah with speed at 0.9 for better comprehension.
Marketing & Advertising
Produce compelling promotional content with energetic delivery. Recommended voices: Aria, Charlotte with higher style settings.
Customer Service
Deploy natural-sounding voice responses for IVR systems and chatbots. Use Rachel or Sarah for approachable, helpful tones.
Podcast & Content Creation
Generate voice content for podcasts, social media, and video narration with professional quality.
Technical Specifications
| Specification | Value |
|---|
| Max Characters | 5,000 per request |
| Output Format | MP3 |
| Supported Languages | 29+ |
| Character Encoding | UTF-8 |
| Audio Quality | High-fidelity |
Pricing
| Characters | Credits |
|---|
| 1-1,000 | 80 |
| 1,001-2,000 | 160 |
| 2,001-3,000 | 240 |
| 3,001-4,000 | 320 |
| 4,001-5,000 | 400 |
Formula: ceil(characters / 1000) × 80 credits
Best Practices
-
Choose the Right Voice: Match the voice personality to your content type - professional content benefits from Brian or Daniel, while conversational content works better with Rachel or Sarah
-
Optimize Stability Settings: Use higher stability (0.7-1.0) for consistent narration, lower stability (0.3-0.5) for more dynamic, expressive speech
-
Language Detection: The model automatically detects the input language, but for best results with mixed-language content, keep each request in a single language
-
Use Context for Continuity: For long-form content, use previous_text and next_text parameters to maintain natural flow between segments
-
Speed Adjustments: Slower speeds (0.7-0.9) improve clarity for educational content, while normal to slightly faster speeds (1.0-1.2) work well for casual content
When to Choose This Model
- You need high-quality, natural-sounding speech synthesis
- Your content requires emotional awareness and appropriate intonation
- You're working with multilingual content
- Consistency and voice quality are priorities
- You need fine-grained control over voice characteristics
Sources