AI clothes changer: how to virtually try on clothes before you buy

What an AI clothes changer actually does

Two things happen under the hood. First, a vision model reads your photos and works out your proportions, colouring and posture. Second, an image model renders the garment onto that body with plausible drape, length and fabric behaviour. The result is a photoreal try-on image rather than a flat cut-and-paste overlay — sleeves end where they would end on you, and a hemline sits where your height puts it.

The quality of the output depends almost entirely on the quality of the input. That is why the first step matters more than the clever part.

Step 1 — Build an avatar that looks like you

What 2 Dress asks for five guided photos: front, left profile, right profile, back, and head-and-shoulders. Each shot is checked automatically for framing, lighting and pose before it is accepted, because a blurred or cropped angle is the most common reason a virtual try-on looks wrong later.

• Stand against a plain wall in even, indirect light — no harsh overhead shadows.
• Wear close-fitting clothes so your actual silhouette is visible.
• Keep the camera at chest height, roughly two metres away, with your whole body in frame.
• Add your height, weight and a body build so the avatar's proportions are grounded in real numbers, not guesses.

Step 2 — Screenshot clothes from any online store

You do not need a retailer to offer its own virtual fitting room. Screenshot the product photo, crop it to the garment, and add it to your wardrobe. A vision model tags it automatically: category, colour, fabric, formality and how warm it is. That tagging is what later lets the app reason about whether a linen shirt belongs at a summer dinner or a cold morning commute.

• Prefer the flat-lay or on-model shot with the whole garment visible and no text overlays.
• Crop out other products so the tagger does not confuse two items.
• Screenshot at the largest size the product page offers — detail helps the render.
• Add clothes you already own the same way, so new purchases can be styled against your real wardrobe.

Step 3 — Change the clothes on your avatar

In the styling studio you drag a garment onto the avatar's top, bottom, outerwear, shoe or accessory slot — or tap to place on mobile. The render updates so you see the combination on your own body. If you would rather not assemble it yourself, pick an occasion (work, casual morning, dinner date, cinema, beach) and the stylist proposes complete looks using only clothes in your wardrobe.

Renders are cached per user, so revisiting a look you already generated is instant and does not regenerate the image.

Step 4 — Judge fit and style before you pay

This is where virtual try-on earns its place. Rotate the avatar to see the outfit from the side and back — the angles a product page never shows you. Compare two or three alternatives side by side to see exactly what changes when you swap the jacket or the shoes. Each suggestion carries a short explanation of why it works: the dress code it targets, the weather it suits, and how it fits the colour palette you have already told the app you like.

Thumbs up or down on any look and the next set of suggestions shifts towards your taste. Over a few sessions that feedback becomes a style profile the stylist reads before proposing anything.

Where virtual try-on is honest about its limits

A generated render shows style, proportion and colour convincingly. It is not a tape measure: it cannot tell you a size 10 will fit where a brand's sizing runs small, and it cannot judge how a fabric behaves after a wash. Treat it as the visual half of the decision and keep checking the size chart for the numerical half.

Beyond single outfits: packing

Once your wardrobe is digitised, the same data answers a harder question. Enter a destination and travel dates and What 2 Dress pulls the weather forecast for those days, then proposes outfits to pack — plus the gaps worth buying before you fly. Every suggestion is rendered on your avatar, so a packing list stops being a spreadsheet and starts being a set of looks.