Smart image cropping is one of those requests that sounds simple during a meeting and becomes chaos the second you export the first asset. HyperCrop adds the automation we always wanted inside Figma: it reads the frame, understands where the subject sits, and reuses that logic across every size you need.

Detection you can actually trust

I rely on HyperCrop when there is motion blur, off-center subjects, or UI overlays that would normally confuse an automated tool. The plugin’s detection keeps the focus where it belongs, and when it misses, I tweak the crop directly in the panel without editing the original design.

Scale the same look everywhere

Whether I am prepping assets for marketplace listings or app store screenshots, I can chain HyperCrop presets to guarantee every crop shares consistent padding, color treatment, and naming. That consistency is what makes a campaign look cohesive across touchpoints.

Rinse and repeat

1. Gather the frames with imagery that needs to travel across sizes.
2. Enable smart detection in HyperCrop and review each crop variant.
3. Export the files and, if needed, push them through TinyImage for compression before handoff.

Smart image cropping should be an invisible part of your workflow. HyperCrop makes it exactly that.

Document learnings

Keep a running note of scenes where smart detection needed a manual override. Group them by subject type so you can build specialized presets later. HyperCrop evolves with you instead of forcing one-size-fits-all automation.

Collaboration tip

Share the smart-crop previews with art directors during production meetings. Seeing how imagery flexes across breakpoints often influences shot selection long before design begins, saving time for everyone down the line.