See it. Scan it. Wear it.
Take a photo, pick one from the gallery or share it from another app. You can set a budget first so results stay within your price.
All work
iOS · Fashion
DRIP AI
See an outfit you like. Find it in your size and your country.
DRIP AI takes a photo of an outfit, recognises every piece and finds originals from real brands in stores that ship to you, with prices in your currency.
In progress
Coming to the App Store soonDiscuss your project
- Role
- Design, development, backend and launch
- Platform
- iPhone
- Stack
- Flutter, Riverpod, Node.js on Vercel, OpenAI Vision
- Languages
- 4 languages
- Model
- Free, earns from partner stores
The problem
You see a great look on the street or in a post and have no idea what it is or where to buy it. Reverse image search returns lookalikes from random marketplaces, often fakes, in a currency you don't use.
What I built
One photo is split into separate items, each with its type, colour and style. For every piece the app searches real stores in your region, shows originals only and lets you set a budget before the search.
Key features01 
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Style for every day
Ready looks for the office, a date night and the weekend, new arrivals from brands like Zara and Mango, and Style Swipe to tell the app what you like.
Your AI fashion stylist
Ask what's trending, how to style a white shirt or what to wear to a job interview, and get a direct answer with outfit ideas.
Your wardrobe, organised
A wishlist of saved pieces, the clothes you already own and outfits you put together, plus region, currency and language settings.
Everything else it does
Scanning
- Every item on a photo detected separately
- Share a photo from any app straight into DRIP
- Budget filter from 50 to 500
- A lookbook of past scans
Shopping
- Originals from real brands only
- Stores and prices for your region
- Prices in your local currency
- Product page with sizes and a buy link
Style
- Outfit rating with tips on colour and fit
- An outfit hint for today's weather
- Outfit builder from saved pieces
- English, German, French and Spanish
Under the hood
Keys stay on the server
Recognition, search and the stylist run as serverless functions on Vercel. The app sends a photo and gets results back, with no API keys inside the app.
One search instead of five
Instead of separate integrations with every store, the search goes through Google Shopping, which covers any store it indexes.
Parallel search
Each detected item is searched at the same time, so a full outfit takes about as long as a single piece.
No account needed
Scans, the wishlist and outfits are stored on the phone, so there is nothing to sign up for and nothing kept on a server.
Want something like this?
Tell me about your idea. I reply within one business day.
Discuss your project