AI-powered tool to identify and find clothing from photos.
Overview
FashionMix FIND is an advanced AI-powered tool that identifies clothing items from user-uploaded photos, including screenshots from social media. It analyzes garment attributes like type, color, cut, and fabric to perform a live web hunt across retailers. The service provides a price comparison list to help users find the exact or closest matching item at the best available price.
Founded year:2026
Team size:1
Popularity:1,000+ users
HQ:United States
Status:Active
Funding status:Bootstrapped
Revenue source:None
Customer type:B2C
Pricing:Free
Tech stack:Computer Vision, AI, Web Scraping
Platform:Web
Integrations:Instagram, TikTok
Founder story
FashionMix FIND was developed as a solution to the frustration of finding specific clothing items seen in photos or social media posts. The developers sought to provide a direct, unbiased, and free method for consumers to bridge the gap between seeing an outfit and finding a place to purchase it, regardless of the brand visibility.
What it does
• Identifies clothing items from uploaded photos or screenshots by analyzing cut, color, fabric, and construction details
• Performs a live web hunt across brand sites, department stores, and retailers to locate the specific product
• Provides a real-time price comparison list, displaying options from different stores sorted by price
• Recognizes clothing without visible brands or labels by focusing on physical garment characteristics and construction
• Uses unbiased AI search to retrieve results without affiliation bias or paid placement influence.
Who it's for
Fashion enthusiasts
Budget-conscious shoppers
Social media users
General consumers
Why it works
AI vision extracts specific garment attributes beyond logos, allowing for the identification of unbranded or obscure clothing items
Live web hunting provides real-time pricing and availability data, ensuring users see the most current purchasing information
Price comparison functionality exposes the actual price spread for the same item across different retail platforms
Platform-neutral architecture performs unbiased searches, preventing paid placement or retail partnerships from skewing results
Privacy-focused design discards uploaded photos after a single analysis, ensuring user content is not saved or repurposed.
Growth strategies
Leveraging the 'Find' functionality as a central hook to drive traffic from social media image searches.
Positioning as a free, high- utility tool compared to traditional search engines or ad-heavy alternatives.
Focusing on the high- intent shopping moment when users screenshot outfits from Instagram or TikTok.
Community- led growth through direct integration into lifestyle guides and fashion-discovery workflows.
Alternatives
Comparison overview
FashionMix FIND provides a retail-focused comparison view specifically for clothing, whereas Google Lens is a general-purpose visual search engine
[FashionMix FIND lists multiple merchants with price comparisons for a single identified item , while Google Lens often prioritizes single-merchant result cards/]