ChatGPT now lets users virtually try on clothes while shopping
OpenAI has globally launched two new ChatGPT shopping features — virtual try-on for clothing and a favoriting tool to save products. Both rely on the newly released ChatGPT Images 2.5 model.

OpenAI has rolled out two new features for ChatGPT aimed at improving how the AI assistant helps users shop online. The first lets users upload a selfie or full-body photo to see how a piece of clothing or an accessory might look on them. This will appear as a new "Try On" button within ChatGPT's shopping results. Users can also upload an image of an item, such as a screenshot from a website, and ask ChatGPT to show how it would look on them.
The second feature, called Favorites, allows users to save products they find to a Library within the app so they can revisit them later. According to OpenAI, these saved items will appear alongside the user's try-on images.
Both features are built on the newly launched ChatGPT Images 2.5 model, which OpenAI says delivers more natural lighting and richer textures, follows editing instructions more reliably, and reduces the time needed to generate images.
OpenAI notes that ChatGPT can assist with shopping in other ways as well — for example, users can describe a style they want to achieve and ask the assistant to find the pieces needed to complete the look, or upload photos of celebrity outfits and ask ChatGPT to locate similar items available for purchase.
The launch comes as several AI companies experiment with shopping-related features. OpenAI previously had to abandon an instant checkout feature that failed to gain traction. Meanwhile, agentic AI startup Instinct faced criticism after some users felt its proactive product recommendations resembled advertising more than helpful suggestions.
With these new tools, ChatGPT is moving into territory long dominated by platforms like Pinterest and Google, which have served as major sources of fashion inspiration that convert into sales for online retailers. Whether ChatGPT can become users' go-to choice for this kind of shopping assistance remains uncertain, particularly since Google introduced its own virtual try-on feature last year.


