AI Vastra: Virtual Try‑On
- Pricing
-
Free plan available
- Rating
- 0.0 (0 Reviews)
- Developer
- Nice Interactive
Featured images gallery
Let customers virtually try outfits with AI Vastra Virtual Try-On and shop with confidence.
AI Vastra Virtual Try-On helps Shopify stores turn shoppers into confident buyers. Customers can virtually try on outfits before purchasing, visualize how products look on them, and make faster buying decisions. Reduce purchase hesitation, sizing uncertainty, and product returns while creating a more engaging shopping experience. Increase customer confidence, conversions, and sales with AI-powered virtual try-on technology.
- Realistic Drape: See how outfits naturally look and drape on the customer.
- For Men, Women & Kids: Works seamlessly across all fashion categories.
- Indian & Western Wear: Supports sarees, kurtas, lehengas, shirts, dresses & more
- Reduce product returns with realistic AI virtual try-on. Increase conversions
- Easy Virtual Try-On: Let shoppers try outfits before making a purchase.
Languages
English
Works with
- Shopify Admin
Categories
Image optimization
Pricing
Choose the plan that best fits your business.
Free
Free
Features
- ✓ 25 free credits = 5 try-ons
- ✓ No subscription, no card required
Silver
$10 one-time charge
Features
- ✓ ─── FOR EARLY BRANDS ───
- ✓ 800 credits = 160 try-ons
- ✓ Try-On History
- ✓ Multiple Garment Categories
- ✓ Unlimited products
Gold
$25 one-time charge
Features
- ✓ ─── FOR GROWING TEAMS ───
- ✓ 2250 credits = 450 try-ons
- ✓ Try-On History
- ✓ Multiple Garment Categories
- ✓ Unlimited products
Platinum
$100 one-time charge
Features
- ✓ ─── FOR HIGH-VELOCITY TEAMS ───
- ✓ 10000 credits = 2000 try-ons
- ✓ Try-On History
- ✓ Multiple Garment Categories
- ✓ Unlimited products
All charges are billed in USD.
Reviews
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Support
App support provided by Nice Interactive.
Resources
Developer
Launched
August 24, 2026
Data access
This app needs access to the following data to work on your store. Learn why in the developer's privacy policy .
View staff and contributor data:
Store owner
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Store owner
Name, email address, phone number, physical address
View and edit store data:
Products
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Edit products
Products, collections
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