OpenAI has launched virtual try-on functionality within ChatGPT, enabling users to test clothing and accessories against their own images before purchase. The feature allows customers to upload personal photos and see how garments fit and look on them in real time.
The new capability integrates with ChatGPT's expanding commerce tools. Users can save items they like to a Favorites library for future reference, creating a personalized collection of products they've browsed or tried on virtually.
The rollout represents OpenAI's continued push into e-commerce integration. ChatGPT users can now interact with shopping experiences directly within the platform rather than navigating to external retail sites. The virtual try-on feature uses computer vision technology to map clothing onto user photos, generating visualizations of how items would appear when worn.
This addition joins other recent shopping enhancements ChatGPT has received. The platform previously introduced product recommendations and shopping search capabilities, positioning itself as a tool that bridges discovery and purchase decisions.
The feature works across clothing categories and accessory types, though specific retailer partnerships and available inventory details were not disclosed. OpenAI has not announced restrictions on image types or guidance about photo quality requirements for optimal try-on accuracy.
Virtual try-on technology reduces friction in online shopping by addressing a persistent challenge for e-commerce. Customers often hesitate on apparel purchases without physical fitting room access. This feature attempts to bridge that gap digitally.
The integration reflects broader industry movement toward AI-powered shopping assistants. Retailers increasingly deploy virtual fitting room technology to reduce return rates and improve customer confidence in purchases. ChatGPT's version brings this capability directly into an AI platform millions of users already access daily.
OpenAI has not provided information about rollout timelines, availability by region, or plans to expand the feature to other product categories beyond clothing and accessories.
