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# ChatGPT adds virtual try-on for clothes and a Favorites library
- URL: https://nextwith.ai/chatgpt-adds-virtual-try-on-for-clothes-and-a-favorites-library/
- Published: 2026-10-02T08:12:15.000Z
- Updated: 2026-10-02T08:12:15.000Z
- Description: ChatGPT now lets shoppers generate virtual try-on images for clothes and save products in a Favorites library. OpenAI says the feature uses Images 2.5; the preview cannot guarantee fit, and personal photos raise a privacy decision.
- Author: NextWith.ai Editorial Desk
- Tags: AI Tools, News

OpenAI has added two shopping features to ChatGPT: a virtual try-on tool for clothing and accessories, and a Favorites library for saving products to revisit later, according to [TechCrunch](https://techcrunch.com/2026/10/01/chatgpt-can-now-virtually-try-on-clothes-for-you/?ref=nextwith.ai) and [Engadget](https://www.engadget.com/2275295/chatgpt-can-now-help-you-virtually-try-on-clothes?ref=nextwith.ai). The rollout is noteworthy not because it turns ChatGPT into a store, but because it pushes the assistant deeper into a task people already do with search, social apps and retailer sites: narrowing down what might actually look right before they buy.

## What changed

TechCrunch reports that OpenAI described the launch as global and said the new shopping tools include a way to virtually try on clothing and accessories plus a favoriting function for later reference. The try-on flow appears in ChatGPT shopping results as a Try On button. Users can upload a selfie or a full-body photo, and they can also upload an image of an item, such as a screenshot from the web, and ask ChatGPT to show it on them. Favorites, meanwhile, saves products into a Library in the app, alongside try-on images, so users can return to them later.

That combination matters. Virtual try-on is the flashy part, but the Library is the stickier part of the product design. A shopping assistant is only useful if it helps users move from inspiration to comparison to recall. Saving items and the images generated from them gives ChatGPT a small but practical memory for shopping sessions that would otherwise be scattered across tabs, chats and screenshots.

## How it works, according to OpenAI

OpenAI says the shopping features rely on its newly launched ChatGPT Images 2.5 model. The company claims that model produces more natural lighting, richer textures, more reliable instruction-following and lower image-generation latency. Those are model claims, not independently verified benchmarks, but they point to the technical reason try-on is now being positioned as a real shopping tool rather than a novelty image effect.

In practical terms, the model has to do at least two jobs well at once: render the garment plausibly and preserve enough of the uploaded image to make the output feel like a believable preview. If either side fails, the feature becomes entertainment instead of decision support. The company’s emphasis on lighting, texture and latency suggests it is trying to make the output feel fast enough and realistic enough to fit into an ordinary shopping session.

## Who should care

For shoppers, the obvious benefit is reducing guesswork. A fashion purchase is often constrained by fit anxiety, styling uncertainty and the cost of returns. A try-on preview cannot solve fit in the physical sense, but it can help answer a narrower question: does this look compatible with the person and the outfit context they have in mind? That makes it most useful earlier in the funnel, when users are deciding whether a garment is worth considering at all.

For OpenAI, the feature is also strategic. TechCrunch notes that the company has already tried an instant checkout idea that did not perform well, and Engadget points out that OpenAI has continued experimenting with shopping-adjacent features, including ads in chat. In other words, shopping is not a side quest. It is one of the few consumer behaviors where an assistant can sit between discovery and purchase without needing to own the whole checkout stack. If ChatGPT can help users choose, save and return to products, it has a reason to stay in the workflow even when the final transaction happens elsewhere.

Retailers and marketplace operators should read the launch the same way: as another attempt to move product discovery into AI-mediated conversations. TechCrunch notes that the assistant is now moving into areas long dominated by Pinterest and Google for fashion inspiration and discovery. That does not guarantee users will switch, especially because Engadget notes Google launched virtual try-on last year. But it does show that apparel discovery is becoming a competitive feature across major AI and search products, not an isolated experiment.

## Limits and trade-offs

The feature’s value is limited by the same things that make all image-based shopping tools imperfect. A try-on picture is a visual approximation, not a sizing guarantee. It may help with style and silhouette, but it does not replace the less glamorous realities of fabric, cut, fit and return policy. The product is useful if users understand that boundary; it becomes misleading if they mistake a generated image for proof that an item will fit well.

There is also a privacy trade-off worth treating seriously. Engadget says images uploaded from personal accounts can be used for training by default unless users opt out. That means the convenience of uploading a selfie or body photo comes with a settings check that many shoppers may skip. For a feature built around personal imagery, the policy detail is not a footnote. It is part of the user decision.

The bigger judgment is simple: OpenAI is trying to make ChatGPT useful at the moment when shopping turns from browsing into comparison. If the try-on images are quick enough, believable enough and easy to save, the assistant can become a practical companion for fashion discovery. If they are not, the feature will remain a clever demo with limited repeat use. If you use ChatGPT for shopping, check whether the Try On button appears on clothing listings and confirm your image-training settings before uploading any selfie or full-body photo.