OpenAI’s Virtual Try On in ChatGPT lets shoppers preview clothing on their own photos, including items found in screenshots rather than product listings. The useful trick is also the important limitation: the image can help you picture an outfit, but it is not a reliable fit or size check.
OpenAI Watch analysis
What happened
The feature, launched globally on 1 October, adds a Try On option to supported clothing and accessories in ChatGPT shopping results. Shoppers can also upload a screenshot and ask to see an item on themselves. The Hindu describes how the feature works and interviewed OpenAI product manager Aarush Selvan.
It handles one item at a time. Users can ask ChatGPT to generate an image combining several pieces, but OpenAI says that is not a supported multi-product try-on feature. Saved products can be organised in Library folders, and their information refreshes when users open them. The reference photo used for try-ons is retained for future sessions; users can replace or delete it in Settings, under Personalisation and Reference photos. Generated images are saved to the Library and remain private unless shared.
Why it matters
This gives shoppers a quick visual way to explore an outfit from a listing or an image saved on their phone. That could be handy when the starting point is a screenshot from social media, rather than a neatly indexed shop page. It is not, however, a digital changing room that can settle whether a garment will fit.
Selvan told The Hindu that images may not reproduce a person or garment exactly and should be treated as a visual reference, not a guarantee of fit or size. OpenAI advises checking the merchant’s measurements, product details and return policy before buying. Prices and availability come from third-party providers, so shoppers should confirm the final details with the retailer.
Our read
As an outfit-visualisation tool, this sounds more useful than a magic mirror with a shopping button. The practical boundary is clear: use it to explore styles, then check the real measurements and buying terms before your card gets involved. For shoppers, the photo-retention setting is worth knowing about too.
What to watch
- Whether the feature expands beyond one-item try-ons.
- How well generated images represent different bodies and garments in everyday use.
- Whether product information, prices and availability stay current enough to be useful.
Discussion spark: Should AI try-on tools be judged mainly on how convincing the image looks, or on whether they can reliably help shoppers avoid a bad fit?
Sources and evidence
- ChatGPT’s virtual try on moves the trial room to your phone this festive season – The Hindu (28 October 2026, 01:30 UTC)
- Source update (28 October 2026, 01:30 UTC)
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