Likiee
Likiee · Other
Likiee is an AI shopping assistant that turns any fashion photo into a complete, shoppable look, then compares prices across stores and tracks drops on a wishlist you can share.
About Likiee
What Is Likiee
Likiee is a visual fashion search and wishlist platform run by a small team in Munich, Germany. You give it a photo, either a street style shot, a screenshot from a social feed, or a product page link, and the AI picks out the garments, finds similar pieces in online stores, and builds them into one outfit. That loop is the whole pitch of its look finder: inspiration goes in, a shopping list comes out.
The problem it targets is familiar to anyone who has saved a photo of an outfit and then spent an hour guessing search terms. Likiee skips the guessing. Its image recognition shopping reads the photo for color, cut, material, and pattern, then returns listings that match the style instead of the exact pixels. From there the tool adds a price tracker, cross-store comparison, and a shared wishlist, so the same item can be watched until the price moves.
Three limits matter before you sign up. The catalog is fashion only, with clothing, shoes, and accessories far ahead of home goods or electronics. Visual matches depend on what retailers publish, so niche or handmade pieces often come back as close cousins rather than exact finds. Searches and virtual try-ons run on credits, and heavy use pushes you toward a paid tier.
Getting Started
- Create a free account at likiee.com with an email address or a Google login. No card is needed for the free tier.
- Upload a fashion photo, drag one into the search box, or paste a product URL from any online store.
- Wait for the AI to generate the look, then review the items it matched and swap out any piece that misses the mark.
- Save the outfit to a wishlist, set a target price, and turn on alerts for the items you actually want.
- Install the Chrome extension if you want to save products from other shops with one click, or use the iOS app once it reaches your region.
Product Information
A quick look at Likiee's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Online shoppers who save outfit photos from Instagram or Pinterest and want to find the actual pieces
- Gift givers who need ideas fast
- Budget conscious fashion fans
- Casual browsers who hate bookmark folders
Tasks
- Rebuilding a look from a photo
- Checking whether a jacket is cheaper elsewhere
- Watching a price before a seasonal sale
- Testing how a garment might look
Scenarios
- Planning a wedding guest outfit on a fixed budget
- Holiday shopping for a partner or sibling
- Replacing a worn out wardrobe staple
Key features
Photo to Shoppable Look
Upload a fashion photo and Likiee returns a set of matching products instead of a wall of unrelated results. The AI reads the image for style cues, groups the pieces into an outfit, and links each one to a store page. You can remove a piece you don't like and ask for alternatives, which keeps the look close to the original without forcing an exact match.
AI Look Builder
The look builder takes a single item and suggests the rest of the outfit around it. Pick a coat, and it proposes trousers, shoes, and a bag that share the same palette or silhouette. Suggestions lean on AI fashion recommendations drawn from what the retailer catalog actually stocks, so every proposed piece is something you can buy that day.
Cross-Store Price Comparison
One search returns the same style from multiple retailers, sorted by price, with shipping and currency shown where the store exposes it. The site claims coverage of more than a thousand online fashion stores, from large marketplaces to independent boutiques. That cross-store comparison is the feature that separates Likiee from a plain visual search engine, because it answers the next question before you ask it.
Price Tracking and Drop Alerts
Add an item to a wishlist and Likiee checks its price daily, keeps a history chart, and pings you when the number falls below your target. Alerts can arrive by email, push notification, or SMS. The history view covers roughly six months, which is enough to tell a real discount from a cosmetic one, and it also flags recent drops across your saved items.
AI Virtual Try-On
The try-on tool places a garment from a product listing onto a photo you upload, so you can see the color and shape against your own body and lighting. It runs in the browser and takes a few seconds per item. Treat the result as a styling aid rather than a fitting room: drape and fabric weight are approximations, and the output depends on how good the source photo is.
Shareable Smart Wishlists
Every list has a share link, and friends can view it, comment on items, or add their own suggestions. Likiee sorts saved products into categories automatically, which keeps a hundred-item list readable. The Chrome extension adds one-click saving from any retailer, and the same account syncs across web, mobile, and desktop browsers.
Pros and cons
Pros
- Photo first search removes the guesswork of describing a garment in words.
- Price history and drop alerts cover the whole wishlist, not just one item at a time.
- Shared lists work well for gifts because sizes, colors, and target prices sit in one place.
- The Chrome extension saves products from shops that never appear in a visual search.
- Free tier is usable for occasional searches, so you can test the match quality before paying.
Cons
- Fashion only catalog means home, tech, and beauty shoppers get little value.
- Visual matches are close rather than exact, so rare or handmade pieces often lead nowhere.
- Credit limits hit quickly if you run many try-ons or searches in a week.
- Mobile apps were still listed as coming soon on the site, so iPhone and Android users rely on the browser for now.
Frequently asked questions
Likiee finds clothes and accessories from a photo, then helps you compare prices and watch them over time. It works as a visual search engine, a price tracker, and a wishlist in one account, which is why people use it for outfit hunting rather than general product research.
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