Virtual Dressing Room – Frequently Asked Questions
What is the Virtual Dressing Room?
Our Virtual Dressing Room is an experimental feature designed to help you explore different wedding dress styles from home using your own photo. It is intended to help you compare shape, proportion, and silhouette, giving you a helpful visual guide before your appointment. Rather than showing exact fit, fabric movement, or fine detail, it is best used as a way to discover which styles and silhouettes feel most like you.
Is the Virtual Dressing Room available on all dresses?
No — our Virtual Dressing Room is currently available on selected wedding dresses only.
We have introduced the feature on a curated selection of dresses to help you explore key silhouettes, proportions, and shapes in a more focused and meaningful way. As we continue to refine the experience, we may expand the styles available over time.
You can view our full Virtual Dressing Room Terms & Conditions here.
How do I get the best results?
The quality of the photo you upload will affect the final result. For the best outcome, we recommend using a clear, full-length, front-facing photo taken in good lighting against a simple background. Wearing fitted clothing and standing naturally will usually help create a more useful result.

What type of photo should I upload?
Your photo should show your full body from head to toe and be taken in good lighting, with a simple background and a natural standing pose. Portrait images usually work best, as they provide balanced framing and more realistic proportions.
Images that are dark, blurry, heavily angled, cropped, taken from too far away, or include other people are less likely to give a good result. Mirror selfies and photos taken while wearing bulky clothing are also best avoided.
As this is an experimental feature, results may vary depending on the suitability of the image provided.


What should I wear in my photo?
We recommend simple, fitted clothing such as a top and trousers, leggings, or a fitted dress. This helps create a clearer outline and will usually give a better result than loose or bulky clothing.
Why does pose and framing matter so much?
The Virtual Dressing Room relies on clear body proportions to place garments correctly. Natural posture, proper framing, and fitted clothing help the system align dresses more realistically to your shape, which can make a noticeable difference to the final preview.
Why was my photo rejected?
To help improve results, uploaded photos may be checked for suitability before a preview is created. If your photo is too dark, cropped, unclear, not full length, or otherwise unsuitable, you may be asked to upload a different image. This helps create a more consistent and useful experience.
Is the result an exact representation of the dress?
No — the Virtual Dressing Room should be used as a visual guide only. It is designed to help you explore overall shape, silhouette, and proportion, rather than show exact fit, fabric behaviour, lace placement, or fine dress detail.
Why does my preview not look like the sample images?
Because this is an experimental feature, results may vary depending on the quality and suitability of the photo uploaded. If your preview does not look as expected, we recommend trying again with a clearer full-length image, better lighting, a simple background, and a natural standing pose. Even small improvements to your photo can make a noticeable difference to the final result.
Why are only selected styles included?
Our Virtual Dressing Room is designed to help you compare key silhouettes and explore different styles in a clear and useful way. By offering the feature on a curated selection of dresses, we can keep the experience more focused while continuing to refine and improve it.
Can I suggest styles to add?
Yes — we would love to hear from you. We welcome feedback as we continue refining and improving the experience, and if there are any styles you would like us to add, we would love to know.
Terms & Conditions
You can view our full Virtual Dressing Room Terms & Conditions here

