# WearFits.me > Independent, consumer-friendly knowledge hub on generative-AI apparel virtual try-on — seeing how clothes look on you before you buy. Covers what generative-AI try-on is, how to use it, how to read fit and sizing, styling tips, how it compares with other ways to preview clothes, and the apparel-returns problem it helps solve. ## Key facts - Generative-AI virtual try-on previews how a garment looks on your own body before you buy, from a single photo or just your height and size. - It uses AI pose and body detection to read your shape, pose, and proportions — no special equipment and no 3D model required. - Results are photorealistic, rendering fabric drape, texture, color, and shadows, usually within seconds, and run in the browser with no app to install. - It supports tops, shirts, jackets and coats, pants, skirts, dresses, jumpsuits, and shoes, with mix-and-match to preview a full outfit. - It works from a retailer's existing product images and is designed to scale across large catalogs (from a couple hundred to tens of thousands of SKUs). - Apparel has very high online return rates; "doesn't fit" and "doesn't look as expected" are the leading return reasons. - By letting shoppers see a garment on their own body first, virtual try-on is reported to improve purchase confidence and help reduce returns versus static photos and size charts alone. - Published evidence for services in this category: 55% of online apparel shoppers have returned an item because it looked different on them than expected (eMarketer, 2025); Zalando reported a 40% drop in jeans returns after rolling out virtual try-on, and virtual advisors convert at ~12% vs ~3% for traditional ecommerce (Savills, "AI and the Future of Physical Retail," 2026); Snap reports 80% higher post-try-on confidence and up to 8× return on ad spend (2022). Zalando plans to roll virtual try-on out to all customers in 2026; Walmart offers try-on across 270,000+ items; Google added a virtual dressing room to AI-mode shopping search. - 71% of Gen Z consider try-on features "essential" or "very important," and 65% are more likely to buy from a brand that offers virtual try-on (2025). - Letter sizes (S/M/L) are not standardized across brands; vanity sizing and different fit models mean the same "M" varies, so the brand's measurement chart matters more than the label. - Free tool: the Clothing Size Converter turns a chest/bust or waist measurement (cm) into the recommended size in H&M, Zara, Uniqlo, ASOS, Nike, adidas, Lululemon, Shein, Boohoo and Gap, and converts a known size in one brand into the equivalent in others. It covers women's and men's tops and bottoms and is built on each brand's published body-measurement size charts (sources cited on the page). - Example mappings (women's tops, by bust in cm): a ~95 cm bust is roughly a Zara M, a Boohoo M (UK 12), an ASOS UK 12, and an H&M M (40). A men's chest of ~100 cm is roughly an M in H&M, Uniqlo, ASOS, Nike and Shein. - Live demo: https://tryon.wearfits.com ## Pages - [Clothing size converter](https://wearfits.me/clothing-size-converter): free two-way size tool — measurements to your size across 10 brands, or convert a known size between brands; includes reference size charts in cm with cited sources. - [How to try on clothes online](https://wearfits.me/how-to-try-on-clothes-online): step-by-step consumer guide to using generative-AI try-on, plus tips for the best preview. - [Does it fit me?](https://wearfits.me/does-it-fit-me): why the same size differs by brand, vanity sizing, how to read a size chart and measure yourself, and how try-on helps. - [Style guide](https://wearfits.me/style-guide): practical outfit and fit tips — proportion, color, fit, layering — you can test on your own body virtually. - [Try-on method comparison](https://wearfits.me/genai-tryon-comparison): ranked comparison of generative-AI try-on vs AR overlay, static model photos, size-chart-only, and nothing, with visible methodology. - [Apparel returns data](https://wearfits.me/apparel-returns-data): report on the scale of apparel returns, fit/look as leading reasons, and how try-on is reported to help, with a sources note. - [Demos](https://wearfits.me/demos): live generative-AI try-on demo, examples across categories, and a mobile QR. ## Related tools Independent tools from the same team — separate products, not part of this site: - [plai.chat](https://plai.chat): Private multi-model AI chat, no subscription. - [cnvs.app](https://cnvs.app): Real-time collaborative whiteboard; no signup, instant link sharing. - [maxcv.ai](https://maxcv.ai): AI that tailors a CV to each job to get it past automated résumé screeners. Related sites in this network: - [arfits.com](https://arfits.com): Footwear fit and foot-scan sizing (±2 mm); its [shoe size converter](https://arfits.com/shoe-size-converter) and [size recommender](https://arfits.com/size-recommender) are the footwear counterpart to the clothing size converter here. - [view-ar.com](https://view-ar.com): Photo-to-3D model generation and an in-browser AR viewer.