Amazon Rekognition + Rufus: How AI Reads Text in Your Product Images (And Why 80% of Sellers Get It Wrong)

That comparison chart with tiny text overlay? Rufus can't read it. Amazon Rekognition fails to extract text from roughly 40% of seller images.Why does Amazon's AI miss the carefully crafted benefits you spent hours adding to your product images?Amazon Rekognition—the computer vision service feeding data into Rufus—requires minimum text sizes (20+ pixels), high contrast ratios (4.5:1), and standard fonts for reliable OCR extraction. When your image text falls outside these parameters, it never makes it into your catalog's structured data. Cosmo doesn't index it. Rufus can't cite it.In this episode, you'll learn:How Rekognition's text detection pipeline processes your product imagesWhy confidence scores below 80% prevent text from reaching Rufus's knowledge baseThree specific audits to run on images 2-7 in your listings right nowMost sellers optimize images for human shoppers, not for the OCR model that determines Rufus visibility.Subscribe for regular episodes on Amazon's AI Rufus and what actually drives visibility. This episode is brought to you by Atomic AMZ. We help brands get discovered, rank and scale on Amazon (plus for sellers who've outgrown generic Amazon agencies).Get your tailored Amazon Rufus AI Audit today www.atomicamz.com Find out if Rufus is discovering your brand on Amazon#AmazonSellers #AmazonFBA #AmazonRufus #AmazonRekognition #ComputerVision #AmazonAI #AmazonListingOptimization