What Is ElevenLabs Voice Engine v3?
ElevenLabs Voice Engine v3 is the most advanced text-to-speech AI model released by ElevenLabs. It creates AI voices that don't just read text—they perform it with real emotion, timing, and personality.
This model lets you control how AI voices sound using special audio tags. You can make voices whisper, shout, laugh, sigh, or speak with specific accents. The result is AI speech that sounds genuinely human.
Unlike earlier models that focused on clear pronunciation, v3 understands emotional context. It knows when to pause for drama, when to speed up for excitement, and when to soften for intimacy. This makes it perfect for creators who need voices that connect with listeners.
Voice Engine v3 supports over 70 languages and includes a unique feature called Text to Dialogue. This feature creates natural conversations between multiple speakers in a single generation.
Key Features That Make v3 Different
Audio Tags for Complete Control
Audio tags are the breakthrough feature in v3. These are words in square brackets that tell the AI how to deliver each line.
You write: [whispers] Something's coming... [sighs] I can feel it.
The AI understands these tags aren't text to speak—they're performance directions. This gives you frame-by-frame control over delivery.
Tag Categories:
| Tag Type | Examples | What It Does |
|---|---|---|
| Emotional States | [excited], [nervous], [sad], [angry] | Sets the feeling behind words |
| Delivery Direction | [whispers], [shouts], [pauses] | Controls volume and energy |
| Human Reactions | [laughs], [sighs], [gulps], [gasps] | Adds natural reactions |
| Character Performance | [British accent], [pirate voice], [childlike tone] | Changes vocal identity |
| Pacing Control | [rushed], [slow], [stammers], [drawn out] | Adjusts timing and rhythm |
You can combine tags for layered effects: [nervous][whispers] Did you hear that? [rushed] Hide! Now!
Text to Dialogue API
This feature generates conversations between multiple speakers. You provide a structured script with different voices, and v3 creates seamless back-and-forth dialogue.
The model handles:
- Speaker transitions
- Emotional changes between speakers
- Natural interruptions
- Overlapping speech
- Matching prosody across characters
This means you can create podcast-style conversations, character dialogues for games, or training scenarios without recording multiple voice actors.
Expanded Language Support
Voice Engine v3 supports 74 languages compared to v2's 29 languages. This dramatic expansion makes it viable for global content creation.
Supported Languages Include:
| Region | Languages |
|---|---|
| European | English, Spanish, French, German, Italian, Portuguese, Dutch, Polish, Czech, Greek, Finnish, Danish, Swedish, Norwegian, Hungarian, Romanian, Bulgarian, Croatian, Slovak, Irish |
| Asian | Japanese, Chinese (Mandarin), Korean, Hindi, Tamil, Bengali, Telugu, Urdu, Punjabi, Marathi, Gujarati, Kannada, Malayalam, Filipino, Indonesian, Malay, Thai, Vietnamese |
| Middle Eastern | Arabic, Hebrew, Persian, Turkish |
| African | Swahili, Hausa, Yoruba |
| Others | Russian, Ukrainian, Icelandic, Welsh, Catalan, Basque |
The model maintains consistent voice quality across all languages while preserving the speaker's unique characteristics and accent.
How Voice Engine v3 Works
The Technology Behind v3
Voice Engine v3 uses a new architecture built specifically for expressive speech. The model understands text context at a deeper level than previous versions.
When you input text, v3 analyzes:
- The emotional tone implied by word choice
- The narrative structure and pacing needs
- Character relationships in dialogue
- Cultural and situational context
- Punctuation as delivery cues
The model then generates audio that matches all these factors simultaneously. This is why v3 can shift emotion mid-sentence or handle complex multi-speaker scenarios.
How Audio Tags Get Processed
Audio tags work because v3 was trained on speech data that included performance variations. The model learned how real speakers change their delivery for different contexts.
When you use [excited], the model recalls patterns from excited speech in its training data:
- Faster tempo
- Higher pitch variation
- More emphatic stress on key words
- Shorter pauses between phrases
The model applies these patterns to your specific text while maintaining the base voice's character.
Tags are context-dependent. The same tag produces slightly different results based on the voice you choose and the surrounding text. This makes outputs feel more natural and less mechanical.
Voice Selection Matters More in v3
The base voice you select determines the emotional range available. Each voice has a personality shaped by its training data.
A voice trained on calm audiobook narration will have a narrower emotional range. A voice created with diverse, expressive samples will handle dramatic tags better.
For best results:
- Choose voices with emotional range in their training data
- Match voice personality to your content type
- Test different voices for the same script
- Use Instant Voice Clones (IVC) or designed voices rather than Professional Voice Clones (PVC) until PVC optimization is complete
v3 Compared to Earlier Models
Major Differences from v2
| Feature | Multilingual v2 | Voice Engine v3 |
|---|---|---|
| Primary Focus | Clear, consistent quality | Emotional performance |
| Audio Tags | Basic (pauses, breaks) | Full range (emotions, accents, effects) |
| Languages | 29 | 74 |
| Character Limit | 10,000 per request | 5,000 per request |
| Multi-Speaker | Not supported | Text to Dialogue API |
| Latency | Standard | Higher (not for real-time) |
| Best For | Voiceovers, audiobooks, consistent narration | Character dialogue, dramatic content, storytelling |
| Prompt Engineering | Minimal required | More experimentation needed |
| Cost | 1 credit per character | 1 credit per character |
When to Use Each Model
Use v2 (Multilingual) when you need:
- Longer text generations (up to 10,000 characters)
- Consistent, predictable output
- Professional content with minimal variation
- Real-time or conversational applications
- Lower latency
Use v3 when you need:
- Emotional depth and variety
- Character performances with accents
- Multi-speaker dialogue
- Dramatic storytelling
- Creative or entertainment content
- Support for more languages
Flash Models vs v3
Flash models (v2.5) prioritize speed over expressiveness. They generate audio in under 75ms, making them perfect for:
- Real-time chatbots
- Voice agents
- Live interactive applications
- High-volume, cost-sensitive projects
Flash models cost 0.5 credits per character—half the price of v3.
v3 is not designed for real-time use. It requires more processing time but delivers superior emotional quality. A real-time version of v3 is currently in development.
Getting Started with Voice Engine v3
Basic Setup and Access
Voice Engine v3 is available through:
- The ElevenLabs website interface
- The ElevenLabs API
- The Text to Dialogue API endpoint
Model ID for API: eleven_v3
You need an ElevenLabs account with appropriate credits to use v3. The Free plan includes 10,000 credits per month, which translates to about 10,000 characters of v3 audio.
Writing Your First Script with Audio Tags
Start with a simple script to test how tags work:
[calm] Hello, and welcome to our story. [pause] Today, something incredible happened.
[excited] I couldn't believe my eyes! [whispers] But I had to keep quiet.
[nervous] Someone was coming. [rushed] I had to hide—now!
Each tag changes how the following text sounds. Place tags at natural breaks in your narrative.
Best Practices for Audio Tag Placement
1. Don't overuse tags. Let natural context do some of the work. Too many tags can make delivery feel choppy.
2. Use punctuation strategically. Punctuation affects delivery:
- Ellipses (...) create pauses or trailing off
- Commas signal natural breaths
- Exclamation marks add excitement or emphasis
- Capital letters signal emphasis: "I said NOW!" emphasizes "now" more than "I said now."
3. Combine tags for nuanced performance:
[hesitant][nervous] I... I'm not sure this is going to work. [gulps] But let's try anyway.
4. Match tags to voice personality. A naturally calm voice won't deliver a convincing shout. Choose appropriate base voices for your needs.
5. Generate multiple versions. v3 is non-deterministic. The same script can produce slightly different results. Generate 3-5 versions and pick the best one.
Voice Settings That Affect Output
Three key settings control v3 output quality:
| Setting | Range | Effect |
|---|---|---|
| Stability | 0.0 - 1.0 | Low (0.3): More varied, expressive High (0.8): Consistent, predictable |
| Similarity Boost | 0.0 - 1.0 | Controls how close output is to original voice Sweet spot: 0.75 for most cases |
| Style Exaggeration | 0.0 - 1.0 | Amplifies the voice's natural style Start at 0.0, increase if needed |
For dramatic content, use lower stability (0.3-0.5) to allow more emotional variation. For professional narration, use higher stability (0.7-0.9) for consistency.
Real-World Applications
Content Creation and Media
YouTube and Video Production: Creators use v3 for voiceovers that sound natural and engaging. The emotional range keeps viewers interested, especially in:
- Documentary narration
- Educational content
- Story-time videos
- Gaming commentary
One creator grew from 0 to 6,000 subscribers and 8 million views in three months using only ElevenLabs voices for narration.
Audiobook Production: Traditional audiobook production requires voice actors and recording studios. v3 lets authors create professional audiobooks independently.
You can:
- Give each character a distinct voice and delivery style
- Add emotional depth to dramatic scenes
- Include multiple speakers in dialogue
- Produce books in multiple languages
Game Development
Game developers use v3 for:
- Character dialogue: Create unique voices for NPCs without hiring multiple voice actors
- Dynamic responses: Generate contextual voice lines based on player choices
- Emotional AI: Make characters react authentically to game events
- Multilingual support: Localize games into 70+ languages with consistent quality
The Text to Dialogue feature lets you script conversations that feel spontaneous, with proper interruptions and emotional flow.
Business and Training
Corporate Training: Create engaging training materials with:
- Multiple instructor voices for different scenarios
- Emotional variety to maintain attention
- Role-play dialogues for practice situations
- Multilingual training content
Customer Support: While v3 itself isn't designed for real-time chat, you can use it to create:
- Support video tutorials
- Onboarding content
- FAQ audio responses
- Training materials for support teams
Marketing and Advertising: Generate commercial voiceovers with:
- Specific emotional tones for brand alignment
- Multiple voice options for A/B testing
- Quick turnaround for campaign changes
- Consistent brand voice across markets
Education and E-Learning
Teachers and course creators use v3 for:
- Lecture narration: Clear, engaging delivery of course material
- Language learning: Native pronunciation in 74 languages
- Historical reenactments: Character voices for historical figures
- Interactive lessons: Dialogue-based teaching scenarios
The emotional awareness helps maintain student engagement better than monotone robotic voices.
Pricing and Cost Structure
Credit-Based System
ElevenLabs uses credits for all generations. For v3, the cost is 1 credit per character of text you generate.
This means:
- 1,000 characters = 1,000 credits
- "Hello world" (11 characters including space) = 11 credits
Audio tags don't count toward character limits. Only the spoken text is billed.
Plan Comparison
| Plan | Monthly Cost | Credits | Minutes of Audio | Best For |
|---|---|---|---|---|
| Free | $0 | 10,000 | ~10 minutes | Testing and experimentation |
| Starter | $5 | 30,000 | ~30 minutes | Hobby creators, small projects |
| Creator | $11 (first month 50% off) | 100,000 | ~100 minutes | YouTubers, podcasters |
| Pro | $99 | 500,000 | ~500 minutes | Professional content creators |
| Scale | $330 | 2,000,000 | ~2,000 minutes | Agencies, high-volume production |
| Business | $1,320 | 11,000,000 | ~11,000 minutes | Enterprises, large teams |
| Enterprise | Custom | Custom | Custom | Custom needs, SLAs, on-premise |
Note: The Free plan does not allow commercial use. You need at least the Starter plan to use v3 audio commercially.
Cost Optimization Tips
1. Edit your scripts before generating. Each generation uses credits. Polish text first to avoid wasting credits on multiple revisions.
2. Use Flash models for drafting. Test scripts with Flash v2.5 (0.5 credits per character), then use v3 for final production.
3. Leverage annual billing. Annual plans include 2 free months (save ~17%).
4. Monitor credit multipliers. Some premium voices use 2x or 3x credit multipliers. Check before adding voices to your library.
5. Keep Professional Voice Clones (PVC) separate. PVCs aren't fully optimized for v3 yet. Use Instant Voice Clones or designed voices instead.
Common Challenges and Solutions
Audio Tags Being Spoken Out Loud
Problem: The AI reads the tags as text instead of interpreting them.
Solutions:
- Verify you're using the v3 model (model_id:
eleven_v3) - Check your voice is compatible (use IVC or designed voices, not PVC)
- Ensure tags are in square brackets with no extra spaces:
[excited]not[ excited ] - Try a different voice from the library
Inconsistent Output Quality
Problem: Same script produces different results each time.
Solutions:
- v3 is non-deterministic by design. This is normal.
- Generate 3-5 versions and select the best one
- Use the optional
seedparameter in API calls for more consistency (still not perfectly deterministic) - Adjust stability settings—higher stability reduces variation
Voice Doesn't Match Expected Emotion
Problem: Tags don't produce the intended emotional effect.
Solutions:
- Choose a voice with appropriate personality for your content
- A calm voice can't convincingly shout; pick energetic voices for dramatic content
- Combine tags for stronger effect:
[very excited][shouts] - Add descriptive text: "she said excitedly" helps guide emotion
- Test different voices—each responds to tags uniquely
Professional Voice Clones Not Working Well
Problem: PVCs sound worse in v3 than in v2.
Solution: This is expected. PVCs aren't yet optimized for v3. Use Instant Voice Clones or designed voices from the Voice Library until PVC optimization is complete (coming soon according to ElevenLabs).
High Latency for Real-Time Needs
Problem: v3 is too slow for chatbots or live applications.
Solution: v3 isn't designed for real-time use. Use Flash v2.5 or Multilingual v2 instead. A real-time version of v3 is in development but not yet available.
Advanced Techniques
Creating Multi-Character Dialogue
Use the Text to Dialogue API endpoint to generate natural conversations:
{
"model": "eleven_v3",
"dialogue": [
{
"speaker": "Jessica",
"text": "[laughs] That was... beautiful.",
"voice_id": "voice_id_1"
},
{
"speaker": "Dr. Von Fusion",
"text": "[dramatic] To be or not to be — that is the question!",
"voice_id": "voice_id_2"
},
{
"speaker": "Jessica",
"text": "[French accent] This is spectacular, isn't it?",
"voice_id": "voice_id_1"
}
]
}
The model handles speaker transitions and emotional continuity automatically.
Layering Tags for Complex Performances
Stack multiple tags to create nuanced delivery:
[tired][whispering][slowly] I've been working for 14 hours straight. [sigh] I can't even feel my hands anymore.
This combines exhaustion (tired), volume (whispering), and pacing (slowly) for a layered effect.
Tips for layering:
- Put emotional states first:
[sad][whispers] - Add delivery direction second
- Include pacing last:
[nervous][whispers][rushed] - Don't overdo it—3 tags maximum per segment
Experimental Tags
ElevenLabs includes experimental tags that push creative boundaries:
[sings]- Makes the voice sing the text (results vary)[strong X accent]- Amplifies accent strength[gunshot]- Sound effects (limited support)[clapping]- Audience reactions
These tags are less reliable than standard ones. Test them before committing to production use.
Accent Switching
Change accents mid-script for character variety:
[American accent] Could you switch my accent in the old model? [dismissive] Didn't think so.
[Australian accent] But you can now — check this out, mate!
[French accent] My love... eez like a red, red rose.
Available accent tags include: British, American, Australian, Southern US, French, German, Spanish, Italian, Russian, Indian, African, and more.
Using Punctuation as Performance Direction
Punctuation significantly affects delivery:
Ellipses (...): Creates pauses or trailing off
I thought I heard something... [pause] Yes, there it is again.
Em dashes (—): Indicates interruption or sudden change
I was going to tell you — [shocked] wait, what was that?
Capitalization: Adds emphasis
I said you need to leave NOW!
Combine punctuation with tags for maximum control over delivery.
The Future of Voice Engine v3
Upcoming Improvements
ElevenLabs is actively developing:
Real-time v3: A low-latency version of v3 for conversational AI and live applications. This will combine v3's expressiveness with Flash's speed.
PVC optimization: Professional Voice Clones will be fully optimized for v3, improving clone quality to match v2 levels.
Expanded audio tags: More tags and more reliable experimental features.
Better multilingual expressiveness: Enhanced emotional performance across all 74 languages.
Personalized AI voice actors: Custom-trained voices that understand your specific content needs.
Industry Impact
Voice Engine v3 is changing how creators approach audio content:
Lower barriers to entry: Solo creators can produce multi-character content without hiring voice actors.
Faster production cycles: What took weeks of recording and editing now takes hours.
Global accessibility: Content can be easily localized into 74 languages with consistent quality.
More experimentation: Low cost per generation lets creators test multiple approaches.
The technology is especially impactful for:
- Independent authors creating audiobooks
- Educational content creators reaching global audiences
- Game developers building dialogue-heavy experiences
- Marketing teams testing voice variations
Getting the Most from Voice Engine v3
Workflow Recommendations
1. Script first, generate last. Polish your text completely before generating audio. Each revision uses credits.
2. Test with multiple voices. Try 3-4 different voices with your script. Each voice interprets tags differently.
3. Generate multiple versions. Create 3-5 versions of important scenes and pick the best one.
4. Use the right model for each task. Draft with Flash, finalize with v3. Don't waste v3 credits on experimental scripts.
5. Leverage the Voice Library. Over 10,000 community voices are available. Find voices that match your needs before creating custom clones.
Learning Resources
To master v3:
Official Documentation:
- ElevenLabs v3 overview page
- Audio tags prompting guide
- Text to Dialogue API documentation
Community Resources:
- ElevenLabs Discord community
- Reddit communities (r/elevenlabs)
- YouTube tutorials from content creators
Experimentation: The best way to learn v3 is hands-on testing. The Free plan gives you 10,000 credits monthly—enough to experiment extensively.
Common Success Patterns
Creators who get the best results from v3:
1. Choose voices intentionally. They test multiple voices and select based on emotional range, not just sound quality.
2. Use descriptive text. They combine audio tags with contextual descriptions: [nervous] "I don't know," she whispered anxiously.
3. Think in scenes. They structure scripts as scenes with clear emotional arcs, not just as raw text.
4. Respect the technology's limits. They use v3 for expressive content and switch to v2 or Flash for other needs.
5. Iterate based on output. They adjust scripts based on what the AI produces, working with the model's strengths.
Frequently Asked Questions
Can I use v3 audio commercially? Yes, but you need a paid plan (Starter or above). The Free plan doesn't allow commercial use.
How do I access v3?
Through the ElevenLabs website or API using model_id eleven_v3.
Why don't my audio tags work? Check you're using the v3 model and compatible voices (IVC or designed voices, not PVC).
Is v3 better than v2 for everything? No. v3 excels at emotional, dramatic content. v2 is better for consistent professional narration.
Can I use v3 for real-time chatbots? Not yet. v3 has higher latency. Use Flash v2.5 for real-time applications. A real-time v3 is in development.
How many languages does v3 support? 74 languages, covering most of the world's population.
What's the difference between IVC and PVC? Instant Voice Clone (IVC) uses short audio samples for quick cloning. Professional Voice Clone (PVC) uses longer samples with human review for higher fidelity. Currently, only IVC is fully optimized for v3.
Can v3 create songs?
The [sings] tag is experimental and results vary. v3 is primarily designed for speech, not music.
How do I reduce costs? Edit scripts before generating, use Flash for drafts, choose annual billing, and avoid high-multiplier voices.
What happens if I run out of credits? You can purchase additional credits through usage-based billing, upgrade your plan, or wait until your credits reset at the next billing cycle.
Conclusion
ElevenLabs Voice Engine v3 represents a fundamental shift in text-to-speech technology. It moves beyond mechanical narration to genuine performance, giving creators unprecedented control over AI voices.
The audio tag system lets you direct emotional delivery, character performances, and timing with simple bracketed cues. Support for 74 languages and the Text to Dialogue feature expand creative possibilities even further.
While v3 requires more experimentation than earlier models, the results are worth the effort. Voices that laugh, whisper, shout, and react create content that connects emotionally with listeners.
Whether you're creating audiobooks, YouTube videos, training materials, or game dialogue, v3 gives you a professional voice studio in the cloud—without the traditional costs or complexity.
Start experimenting with the Free plan's 10,000 credits. Test different voices, play with audio tags, and discover what's possible when AI voices become truly expressive.
The future of voice content is here, and it sounds remarkably human.
