Case Study: Minted achieves faster, more reliable art image generation with Cloudinary

TED automates 60M images and launches art products in hours with Cloudinary

TED, a marketplace for independent artists selling art, stationery, and home decor, faced significant challenges in managing its massive and complex image generation pipeline. With millions of product variants requiring pixel-perfect images, its legacy system of mixed tools and scripts was slow, unstable, and difficult to maintain. This complexity caused weeks-long delays for launching new products and sometimes resulted in broken images on their production site, which was unacceptable for their premium brand.

By implementing Cloudinary, TED automated its image generation process, utilizing Cloudinary's 2D/3D transforms and e_distort API to composite final product images from individual layers and 3D models. The Cloudinary solution streamlined operations, reducing launch times from weeks to hours and drastically cutting down on broken images. This provided a more reliable customer experience and gave TED's teams improved visibility into the pipeline for better error monitoring and triage.

TED