Tagshop.ai offers two advanced voice models to power your AI avatars. Understanding the differences will help you create more engaging and realistic videos.
What is V2?
Our V2 voice model provides:
- Natural-sounding speech with clear pronunciation
- Support for 40+ languages
- Faster generation times (30-45 seconds per video)
- Great for e-commerce product demonstrations
- Cost-effective option for high-volume content
What is V3?
Our V3 voice model delivers:
- Premium voice quality with advanced emotional range
- Natural lip-sync with InfiniteTalk technology
- Enhanced pronunciation and intonation control
- Perfect for brand storytelling and premium content
- Support for singing and complex voice modulation
- Slightly longer generation time (60-90 seconds per video)
Key Differences:
Voice Quality:
- V2: Professional and clear
- V3: Ultra-realistic with emotional depth
Lip-Sync:
- V2: Standard lip movement
- V3: Advanced InfiniteTalk for perfect sync
Use Cases:
- V2: Product demos, tutorials, bulk content
- V3: Brand videos, testimonials, premium ads
Voice Model Pricing:
Both V2 and V3 voice models are included in your video creation cost. There are no additional charges for choosing between voice models - select the one that best fits your content needs.
How to Choose:
Choose V2 if:
- Creating high volumes of product videos
- Need fast turnaround times
- Budget-conscious production
- Standard e-commerce content
Choose V3 if:
- Creating premium brand content
- Need emotional storytelling
- Want the most realistic avatars
- Quality is top priority
How to Select Your Voice Model:
1. During video creation, look for 'Voice Model' setting
2. Select V2 or V3 based on your needs
3. Preview both options to compare
4. Generate your video
Pro Tips:
- Test both models with your first video to see the difference
- Use V3 for your hero content and V2 for variations
- V3 works best for longer, narrative-style scripts
- Both models support custom voice cloning (Enterprise plan)
Need help choosing? Our support team can provide recommendations based on your specific use case.