Guide
Ways to preview clothes, compared
What are the ways to see clothes on you before buying?
“Try before you buy” online means very different things depending on the tool. These are the five approaches most shoppers meet:
- Generated studio shot from a product link — you add a selfie plus height and weight once (a full-body photo is optional and raises accuracy), paste the product page address, and get a photo of you wearing that piece. This is how wearfits.me works.
- AR overlay — the camera shows a live layer of the item on you. Common for shoes, glasses and make-up; offered by some shops for clothes.
- Model photos — the shop’s own photos of the piece on a fit model.
- Size chart — a table of measurements, no picture at all.
- General image tools — upload a photo, describe an edit or generate an image; some let you add reference images to guide the result.
None of them is perfect. They answer different questions: how does it look on me, does it suit me in motion, what does the piece really look like and which size should I order.
How do the approaches compare side by side?
| Approach | Shows it on you | Shows the real piece | Effort | Speed | Helps pick a size |
|---|---|---|---|---|---|
| Studio shot from a link (wearfits.me) | Yes — a still photo of you | Yes, read from the product page; small details can differ | Low — paste a link | typically up to 20 seconds per shot | No — a visual preview only |
| AR overlay | Yes, live in the camera | Only items the shop has prepared for AR | Medium — camera, light, space | Instant | Rarely |
| Model photos | No — a fit model | Yes, the real piece | None | Instant | A little, if the model’s height and size are listed |
| Size chart | No picture | No picture | Measure once | Instant | Yes — the best tool for it |
| General image tools with photo references | Yes, when you add your photo | Depends on the prompt and references; compare it with the listing | Upload images and describe the result | Varies | No |
These are qualitative judgments of how each approach works in general, not lab measurements. Individual tools can be better or worse than the typical case. See the methodology.
Why use a product link instead of a prompt?
ChatGPT and Gemini can generate or edit images and accept reference images. If you describe a garment in words alone, the tool has to interpret the details; attaching a product photo gives it more visual context. Check the result against the listing when you need to compare it with a specific item.
With wearfits.me the link is the prompt. We read the product page — its photos, name and type of piece — and dress you in that piece. There is nothing to write, and the result is tied to something you can actually buy. You can also mix pieces from several shops into one look and see the whole outfit on you in one shot.
Every shot uses the same clean studio light and full-body framing, like the model on the product page, so shots are easy to compare side by side. Other image tools allow broader edits guided by your own photo, instructions and references. The choice depends on whether you are exploring an image or comparing items you can buy.
What is each approach good and bad at?
Studio shot from a link
Best for answering “how does this look on me?” — colour against your skin, length on your frame, how pieces work together. Limits: a still image, not movement; typically up to 20 seconds per shot; and some shops block outside services from reading their pages (then you upload the product photo instead).
AR overlay
Live and fun, good for seeing yourself from several angles. But it works only for items prepared for AR, and an overlay on a camera feed tends to look stylised rather than like a photo, which makes drape hard to judge.
Model photos
Real, high-quality photos of the real piece — the most faithful view of the garment itself. The catch is the person: a fit model usually has a different height and build, so you translate the look onto yourself in your head. eMarketer reports that 55% of shoppers have returned clothing because it looked different on them than expected.
Size chart
The most useful tool for choosing a size, and it should stay part of every purchase. It says nothing about colour, cut or how a piece looks on you. Our clothing size converter helps compare brands.
General image tools
Tools such as ChatGPT and Gemini can generate or edit images from instructions and visual references, which is useful for exploring ideas and directing an edit. When a particular shop item matters, compare the generated image with the product listing. They offer a general image workflow; WEARFITS is organized around a product link or clothing photo, a personal preview and saving items from different shops together.
Where is wearfits.me weaker?
An honest comparison includes our own limits:
- No fit or size guarantee. A studio shot is a visual preview, not a size guarantee. Stretch, fabric weight and exact cut can differ from what a photo suggests.
- Not instant. A shot typically takes up to 20 seconds; AR, model photos and size charts are instant.
- Not every shop can be read. Links from many shops work, but not all of them. When a shop blocks link reading, upload the product photo.
- A still photo. You don’t see the piece move the way a live AR view or a video would show.
- Limited free use. The free plan gives 3 try-ons a month; for more there is a Pack (100 try-ons for $19) or Plus ($4.99/month for 40).
The best routine combines approaches: a studio shot of you to decide what you like, the brand’s size chart to decide which size, and the model photos for close-up detail. Read Does it fit me? for the sizing side.
How was this comparison made?
This is a qualitative editorial comparison, not a benchmark study. We looked at each approach against criteria that map to what a shopper needs before buying:
- Shows it on you — is the picture of your own body, a model, or nothing?
- Shows the real piece — is the result tied to the actual product, or an approximation?
- Effort — what you have to do: paste a link, set up a camera, measure, write prompts.
- Speed — how long until you see a result.
- Helps pick a size — whether the method says anything reliable about which size to order.
Ratings describe how each approach typically works, not any single vendor, and we don’t rank named products. wearfits.me is our own product, so read the “where we are weaker” section with that in mind. For why the gap between expectation and reality matters, see our apparel returns data.
FAQ
- What is the best way to preview clothes before buying online?
- Combine methods. A studio shot of you wearing the piece shows how it looks on your frame, the brand’s size chart tells you which size to order, and the model photos show close-up detail. No visual method guarantees fit.
- What is the difference between AR try-on and a generated studio shot?
- AR try-on overlays an item on your live camera view and works only for items prepared for AR. A generated studio shot is a still, photo-like image of you wearing the actual piece from the product page, typically made in up to 20 seconds.
- Can I use ChatGPT or Gemini to edit an outfit photo?
- Yes. Both can work with images, and their image tools can accept references. A text-only description asks the model to interpret the garment; attaching a product image gives more visual context. WEARFITS starts from a product link or uploaded clothing photo and requires no styling prompt. None of these image results guarantees fit.
- Can a try-on tell me which size to buy?
- No. wearfits.me gives a visual preview, not a size guarantee. Use the brand’s size chart for the exact piece, and a size converter to compare brands.
- Does wearfits.me work with every shop?
- Product links from many shops work. Some shops block link reading, and then you can upload the product photo instead.
Sources
- eMarketer — Retailers rely on virtual try-on to curb returns and boost conversions (2025): 55% of shoppers have returned clothing because it looked different on them than expected.
- OpenAI Docs — generate and edit images with reference images in ChatGPT.
- Gemini Apps Help — generate and edit images with reference images.
Everything else on this page is a qualitative description of how each approach works. See consumer virtual try-on apps compared.