JavaScript · AI · Web
FitCheck
An AI virtual try-on app for previewing clothing on your own photo before you buy.
FitCheck is a personal virtual wardrobe for answering one question before checkout: what will these clothes look like on me? Add a photo of yourself, choose garments or a complete outfit, and generate a try-on that preserves the person while changing the clothes.
From shop link to lookbook
your photo + garments / complete outfit
↓
choose combinations
↓
Gemini image generation
↓
compare in Lookbook
What you can do
- Mix and match. Select tops, bottoms, shoes, and accessories; FitCheck generates each selected combination as its own look.
- Try a complete outfit. Use a flat lay or outfit reference as one set instead of cataloguing every item.
- Import a product link. Supported shop pages can provide the image, title, price, and a link back to buy.
- Browse large catalogues. Import a Yupoo store or category as lightweight metadata, then fetch an item only when you want it.
- Organise drawers. Group catalogue and wardrobe items into named collections.
- Categorise from the image. A lightweight vision request can classify opaque reseller product names.
- Sync selected metadata. An optional, user-controlled secret can mirror catalogue and imported wardrobe metadata between devices.
- Preview hair and backdrops. Try hairstyle references and move generated looks into a studio, street, café, beach, runway, or park.
- Keep a lookbook. Generated results stay available for side-by-side comparison.
Architecture
index.html + style.css + app.js installable PWA client
IndexedDB people, garments, and generated looks
api/generate.js server-side image-generation proxy
api/import.js product and catalogue importer
api/sync.js optional metadata sync
Try-ons use Google’s gemini-3-pro-image model at 1080p. Classification uses a lower-cost model. Generation time, availability, safety filters, and price are controlled by the upstream API and can change.