4 items
Try on clothes and products virtually on any e-commerce site VDressUp lets you see how clothes would look on you on almost any e‑commerce site. FEATURES • Floating widget appears on product pages - drag and drop your photo or click to upload. • Automatically detects product pages using industry-standard schema data. • Processed images are shown directly on the product page with a beautiful rotating border effect. • Processed image thumbnail in the widget - click to view full-size in a popup. • Dressup images are remembered per product page, so you don't lose your results when you refresh. • Tips button links to best practices for best results. • Free usage with a daily limit per browser and per site to control abuse and cost. HOW IT WORKS 1. Install the extension and pin it in your browser. 2. Go to a product page (clothing, fashion, etc.) - the widget appears automatically in the bottom-right corner. 3. Drag and drop your photo onto the widget, or click to upload. 4. Wait a few seconds and see the product overlaid on your photo. 5. Click the thumbnail in the widget to view the full-size processed image. 6. Your processed images persist across page refreshes for the same product. PRIVACY • Your uploaded photo is sent securely to VDressUp servers only to generate the dressup image. • Uploaded photos are automatically deleted within 24 hours. • Website product images are used only to generate the preview and basic usage analytics. • For all other data we follow the main VDressUp Privacy Policy and Terms. LIMITS • To protect users and control AI costs we apply a daily usage limit per browser and per domain.
Dec 12, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.