Case Study: autoRetouch achieves faster, lower-cost image processing with Google Cloud Platform

autoRetouch Shifting online retailers from manual image editing to automated image processing

autoRetouch, a Germany-based automated image processing platform for fashion retailers and editing services, needed a way to speed up bulk image retouching, reduce costs, and scale globally without heavy infrastructure investment. Working with Google Cloud Platform, the company used machine learning to automate edits like background removal and skin retouching while handling workloads that could range from a few images to hundreds of thousands.

Google Cloud Platform provided autoRetouch with AI Platform, Google Kubernetes Engine, Cloud Storage, and scalable GPUs on Compute Engine to train and run its models efficiently. The result was up to 90% lower retouching costs for end users, image delivery in minutes instead of days, and flexible scaling with per-second billing that helped keep platform costs under control.

autoRetouch

Alex Ciorapciu

CEO and Co-Founder