AI Watch Virtual Try-On API
Let users preview watches on their wrist with AI-powered virtual try-on. Built for brands, retailers, and ecommerce delivering immersive digital shopping experiences.
Transform Your Visual Commerce With AI Watch Virtual Try-On
Bring realistic watch try-on experiences directly into your digital products with a flexible, developer-ready API. Designed for scalable deployment across digital channels.
Realistic Watch Rendering
Generate high-quality virtual try-on visuals that match real-world proportions. Optimized for e-commerce and marketing use cases.
- Accurate watch scale relative to wrist size
- Precise visual integration with wrist image lighting
- Clean visual output for product presentation
Precise Wrist Detection & Alignment
Automatically detects the wrist area and aligns the watch naturally. Built to reduce manual adjustments while maintaining realism.
- AI-powered wrist detection
- Automatic angle and position alignment
- Stable placement with consistent results
Advanced Shadow & Lighting Controls
Fine-tune realism with precise control over shadows and lighting. Designed to help the watch visually integrate with the user’s wrist image.
- Adjustable shadow strength
- Ambient light matching to the hand image
- Defaults optimized for natural rendering, with full override control
Virtual Try-On from 2D Watch Images
Launch virtual try-on experiences using existing product images. Designed for fast onboarding of new collections.
- Supports standard 2D watch images
- Transparent or clean backgrounds recommended
- Easy onboarding for large watch catalogs
Configurable Try-On Controls
Control how the watch appears on the wrist to match brand and UX needs. All adjustments are optional and request-based.
- Placement and size parameters
- Rotation and alignment adjustments
- Background handling options
Key Advantages
Use existing 2D assets and a simple API flow to go live quickly.
Shadow and lighting parameters enable fine-grained realism tuning.
Designed for marketing campaigns and easy catalog expansion.
Easy API Integration
The AI Watch Virtual Try-On API follows a straightforward REST architecture. Teams can integrate the API quickly in their own ecosystems.
- Standard REST API with bearer token authentication
- Simple request–response workflow
- Compatible with modern web and app stacks
Flexible API Plans That Scale With Your Business
Start small and grow seamlessly with pay-per-use access designed for testing, launch, and expansion.
- Free trial units available for initial API testing and evaluation
- Full access to AI Watch Virtual Try-On features and output images
- Comprehensive API documentation to support faster integration and development
How to Use the AI Watch Virtual Try-On API
Select assets, apply settings, and generate a realistic watch try-on image.
Choose a sample watch or provide a watch image via upload or URL.
Optionally adjust placement, masking, shadow, and lighting settings.
Choose a sample wrist image or provide an image via upload or URL.
Submit the request to generate the watch try-on image.
Receive and display the generated watch-on-wrist result image.
Business Benefits
Drive engagement and confidence in watch shopping decisions. Designed to support conversion-focused digital experiences.
- Increase product exploration and dwell time
- Reduce purchase hesitation with visual context
- Enhance premium brand presentation online
Benefits for Developers
Built to be practical, predictable, and easy to maintain. No complex pipelines required.
- Clear REST-based integration
- Minimal asset preparation
- Consistent, testable outputs
Our API Supports All The Major Frameworks
JavaScript & Java
Flutter
Python
PHP
Node.js
cURL
Part of the Perfect Corp. AI & AR Ecosystem for Beauty and Fashion
This API works alongside Perfect Corp.’s broader suite of AI and AR solutions. Build cohesive, cross-category digital experiences with a unified platform.
AI Watch Virtual Try-On Digital Scenarios
Help shoppers visualize watches on their wrist before buying.
Add interactive try-on to increase engagement and session time.
Enhance launches with immersive, on-wrist visual storytelling.