StyleScanner is a fashion discovery tool that uses AI to identify clothing items from user-uploaded photos. It aims to help users find similar styles from a curated collection to update their wardrobes. The app is marketed as a trend-discovery platform for fashion-conscious consumers.
Overview · Full Intel report in progress
Product velocity
Intense
Daily rank 🇺🇸
#48
▲12Shopping · grossing
Sentiment
4.8
236 reviews
Nemesis
Screenshop - Clothes Finder
The App DNA
What makes this app unique?
For Fashion-conscious individuals looking to discover and purchase clothing styles similar to items they already own.
Key features
Users can upload photos of their clothing items to initiate a style search.
The app identifies and suggests similar fashion items from a curated collection.
Users can purchase the recommended clothing items directly through the app.
How much does it cost?
Velocity
Intense developmentShow more...
5 versions in history. Development pace: intense.
Who built it?
AntiSocial Apps
3 apps tracked · Shopping
OutfitLab: Try On Clothes
AntiSocial: Block Social MediaUser Sentiment
What do users think recently?
How are ratings & reviews evolving?
Not enough recent reviews to extract reliable themes yet.
Read the full review analysisCompetition
Competitive landscape for StyleScanner: Find Clothes
How's the Shopping market?
The rivals identified
By Viral Development LLC
Both apps target fashion-conscious users with AI-based image recognition for clothing discovery and share a subscription-based monetization model.
- Screenshop includes virtual try-on capabilities, a feature absent from the StyleScanner feature set.
- Screenshop provides a circle-to-shop interaction, whereas StyleScanner relies on standard image uploads.
Unlock the head-to-head verdict: where this rival wins, and where it loses.
Access the full report for freeThe Analyst's Read
Key takeaways for StyleScanner: Find Clothes
Where is it heading?
Bottom line
While marketed as a fashion discovery tool, user feedback indicates significant friction regarding the mandatory subscription model and perceived value.
Report last updated