I built Scalemage because creating a single great image is easy, but adapting that image for every platform, device, and marketing channel is manual and repetitive and most designers avoid it, and we as growth expert end up doing what we can to adapt it or having not so good scaling from platforms in Ads. After trying many AI tools for image scaling and facing multiple issues with the results, and finding tools more complex than actually needed, I designed an easy tool to solve a common issue in advertising, Image Scaling to other ratios.

The reality of scaling a digital presence is that after the initial design, you end up trapped in the "hidden production loop": manually cropping for 16:9, 4:5, and 1:1 ratios, fighting with focal points so the subject isn't cut off, and managing a mess of export settings—scattered across Figma files, Photoshop actions, and manual scripts.

Scalemage solves this by moving image adaptation into a unified, intelligent pipeline. Core capabilities:

🎯 Intent-Aware Cropping: Smart focal-point detection that goes beyond basic centering and expanding.

⚡ Agility: Quickly get a high quality adapted image ready to upload.

👁️ Visual Integrity Signals: Quality checks that ensure your assets never look "stretched" or "pixelated."

Also has an Experiment tool for minor changes (sometimes it retrieves really good results with larger ones, but its not optimized for that).

Built for teams who need to move fast without sacrificing design quality, Scalemage provides a production-grade foundation for your visual assets. It helps marketing teams shorten the loop from "design" to "live."

Would love feedback from folks managing content at scale: what’s the most painful part of your image workflow today (resizing for social, maintaining focal points, file weight optimization, or just the sheer volume of variants)?