AI Frame ‑ Clothing Try‑On
- Pricing
-
Free plan available
- Rating
- 5.0 (1)
- Developer
- Heritage Fashion LLC-FZ
Featured images gallery
AI-powered virtual try-on. Let shoppers see clothing on themselves instantly.
AI Frame’s Virtual Fitting Room lets shoppers try-on clothing on themselves before they buy. With a simple upload, you can wear clothing virtually, creating a better shopping experience that builds trust and helps with conversion.
- Shoppers upload a photo to see clothing on themselves instantly.
- Boosts add-to-cart rates by building shopper trust and confidence.
- Reduces returns with personalized, AI-powered virtual try-on.
- Minimize the widget and keep shopping while try-on images generate.
Languages
English
Works with
- Shopify Admin
Categories
Visualization
Customization
Pricing
Free
Free
- 15 try-ons (One Time)
- Instant Access, No Payment Needed
Starter
$19 / month
- 100 try-ons per month
- Product-page Try On button
- Button styling
- Email support
- Usage statistics
Growth
$36 / month
- 200 try-ons per month
- Everything from Starter
Advanced
$59 / month
- 350 try-ons per month
- Everything from starter
All charges are billed in USD. Recurring and usage-based charges are billed every 30 days.
Reviews (1)
- 100% of ratings are 5 stars
-
0% of ratings are 4 stars
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0% of ratings are 3 stars
-
0% of ratings are 2 stars
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0% of ratings are 1 stars
Such an incredible tool! Several of my clients sent me the images they generated and then compared them to how the clothing looked when it arrived and the match was perfect. Couldn’t be happier!
Support
App support provided by Heritage Fashion LLC-FZ.
Resources
Developer
Launched
August 22, 2025
Data access
This app needs access to the following data to work on your store. Learn why in the developer's privacy policy .
View personal data:
Store owner
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Store owner
Name, email address, phone number, physical address
View and edit store data:
Products, Online Store
-
Edit products
Products or collections
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Edit your Online Store
Theme or Online Store page content on a path controlled by the app
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