Professional Catalog Photos. Zero Photoshoots.
Transform any product photo into studio-quality catalog images with AI. Add virtual models in seconds.
Amateur Photo
Catalog Ready ✨
What We Do
We turn your unprofessional product photos into catalog-ready masterpieces, complete with virtual model try-ons.
AI Photo Enhancement
Transform amateur product photos into professional, studio-quality catalog images automatically.
Virtual Model Try-On
See your garments on realistic AI models without expensive photoshoots or model bookings.
Instant Catalog Creation
Generate entire product catalogs in minutes, not days. Scale your e-commerce imagery effortlessly.
Transform Your Product Photography
Watch simple product shots become stunning catalog imagery. Drag the slider to reveal the transformation.
See hundreds of real transformations from our clients
Ready to Transform Your Catalog?
Get in touch with us on WhatsApp for instant quotes and personalized solutions.
Contact Us+91 96430 65396
Our Story
AntiClicks was born from the frustration of endless, expensive photoshoots that slow down apparel brands. Founders spotted a massive gap in India's fashion ecosystem, where catalog creation eats up time and budgets, and built an AI solution to transform smartphone snaps into studio-quality images instantly.
The Problem
Traditional apparel catalog photoshoots demand models, studios, lighting crews, and stylists, costing ₹25,000–₹50,000 per day for 50–100 garments in India. Brands wait weeks for edits, face inconsistent lighting across shots, and burn cash on logistics—often ₹300–₹1,800 per garment. This delays launches on platforms like Myntra, Flipkart, or Instagram, stifling growth for D2C sellers and manufacturers.
Our Innovation
AntiClicks uses advanced AI pipelines to convert casual phone photos into professional, catalog-ready visuals in seconds—no studios needed. Upload a garment image, select styles or models, and get consistent, high-conversion shots optimized for e-commerce. Early tests show 70–90% cost savings and 5x faster output compared to traditional methods.