Wouldn’t it be amazing if an e-commerce app could actually show you exactly how that shirt will look on you before you buy it? 🤯 That’s what I built using Claude Opus 5. A real fabric and size aware virtual try on experience where you submit your measurements and photos, choose a top, shirt, pants or dress, and get a generated image showing that clothing directly on you. It also tells you whether the item is likely to be too small, too large or a perfect fit. Claude built the whole fabric calculate system where it takes your measurements, analyzes the clothing and your photos, calculates all the fit details and turns that information into a detailed prompt. That context is then passed along with the clothing and user images to GPT Image 2.0, which generates the virtual try on. I’ve wanted this kind of experience in e-commerce for a long time because one of the biggest wastes of time when shopping online is ordering something, waiting for it to arrive and then realizing it doesn’t fit. For the demo, I kept everything pretty straightforward. You can use your own API keys and everything is stored locally in the browser using localStorage and IndexedDB. But this can be extended into a full application that solves a very real e-commerce pain point. Live: Code: