High-Converting AI Images for Amazon Fashion Listings
Create compliant, realistic on-model images and lifestyle shots that stand out in search results and meet strict marketplace requirements.
Who it's for
Amazon sellers in apparel categories like t-shirts, dresses, hoodies, and activewear who need compliant, clean listing images.
How Amazon sellers use PixUp AI
Upload Product Image
Start with a photo of your garment on a hanger or mannequin.
Choose Amazon-Ready Background
Select a pure white background for your main listing image or a lifestyle setting for secondary slots.
Generate Model Images
Create realistic on-model images that showcase fit and drape.
Update Listing
Download high-res images and upload them to Seller Central to improve your listing quality score.
The Problem
- Amazon image rules are strict
- Lifestyle photos are costly
- Many sellers rely on low-quality mockups
- Standing out in crowded listings is difficult
Why AI Helps
- Generate clean, realistic on-model images
- Create lifestyle-style images for secondary slots
- Reduce dependency on photographers and models
- Help sellers iterate images quickly based on performance
Achieve Amazon main image compliance effortlessly
Boost click-through rates with better main images
Create lifestyle shots for A+ content instantly
Cut down creative costs significantly
Reduce time dealing with compliance rejections
Optimize listings faster based on data
Stand out from competitors with professional visuals
Common Questions
Are these images compliant with Amazon policies?
Yes, PixUp AI allows you to generate images with pure white backgrounds (RGB 255,255,255) which is a requirement for Amazon main images. Secondary lifestyle images are also fully compliant.
Can I use this for Amazon A+ content?
Absolutely. You can generate high-quality lifestyle images in various settings to enhance your A+ content modules and tell a better brand story.
Ready to transform your fashion imagery?
Join thousands of fashion brands using PixUp AI to create professional on-model photos.