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Product Images for E-commerce
What we tested and what not to use
This book is 100% completeLast updated on 2026-10-27
Cutouts, upscaling and web formats for product photos: what we tested, what failed and what not to use. Includes the AI upscaler that changed the digits of an EAN.Cutouts, upscaling and web formats for product photos: what we tested, what failed and what not to use. Includes the AI upscaler that changed the digits of an EAN.
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About the Book
Processing product photos in volume fails quietly: a cutout with a hole in it, an upscaler that rewrites text, a license that turns out to be non-commercial, a carousel that downloads every photo on page load. This guide documents what we tested on real catalogs: cutting out objects by contrast (Apple Vision and BiRefNet), the model that becomes the default in a popular tool with a non-commercial license, light-on-light products and PDF masks, why you should never run an AI upscaler on text or logos (it changed the digits of a barcode), AVIF with quality verification, srcset and recursive generators, cache and purge, and checks before publishing. For store owners, designers and developers who handle product images. 12 pages, PDF.
Author
About the Author
Leandro Salerno
Leandro Salerno leads marketing and technology at Austhen, a Brazilian industrial audio group with 20+ years of engineering, behind the brands Sansara, IBS and Xcene.
He didn't learn AEO from a course — he learned it shipping real sites: building and optimizing the group's B2B catalogs in Next.js and Firebase, and fighting every indexation and schema bug documented in this book. After getting those sites cited by ChatGPT and Perplexity, he packaged the method into AEO in Practice.
He writes for developers and agencies who want to master the next layer of search before the competition does.
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