Samsung · Filed Mar 18, 2026 · Published Jul 23, 2026 · verified — real USPTO data

New Samsung Patent Teaches Screenshots to Learn From Your Habits

Every time you screenshot a price, crop it, and send it to a friend, your phone forgets you ever did it. Samsung wants to change that by teaching your phone to remember what you crop and why.

Samsung Patent: AI-Suggested Screenshot Crops and Actions — figure from US 2026/0211538 A1
Figure from the official USPTO publication.
See all 24 drawings from this filing ↓
Publication number US 2026/0211538 A1
Applicant Samsung Electronics Co., Ltd.
Filing date Mar 18, 2026
Publication date Jul 23, 2026
Inventors Eunjung HUH, Younghak OH, Seungyong LEE
CPC classification 715/767
Grant likelihood Medium
Examiner CENTRAL, DOCKET (Art Unit OPAP)
Status Docketed New Case - Ready for Examination (Apr 17, 2026)
Parent application is a Continuation of 18359274 (filed 2023-07-26)
Document 21 claims

What Samsung's habit-aware screenshot tool actually does

Imagine you screenshot a restaurant menu every week, crop out just the specials, and then share it to your group chat. Right now, your phone has no memory of that routine. Every time, you do the same steps from scratch.

Samsung's patent describes a system that watches those patterns over time. After you've cropped-and-shared enough times, the next time you take a screenshot of a similar screen, your phone would automatically highlight the part it thinks you want to crop, and show you shortcuts for what you usually do next, like sharing, translating, or searching.

You're not locked in. The suggestion is just a starting point. But the idea is that your phone gets better at guessing your intent the more you use it, turning a repetitive four-step process into something closer to one tap.

How the device tracks crops and tasks to build a use pattern

The patent describes a screen capture system that builds a personal history of how you interact with screenshots. Specifically, it tracks two things: which part of the screen you cropped, and what action you took with that cropped area afterward (sharing, copying text, searching, etc.).

This history is stored as a crop use pattern in the device's memory. When you trigger a new screenshot, the device analyzes the objects on the current screen (buttons, text blocks, images, price tags, faces) and compares them against your stored patterns.

Based on that comparison, the system does two things at once:

  • Highlights a recommended crop area on screen, visually separated from the rest of the image
  • Displays recommended tasks specific to whatever is inside that suggested crop, like a direct share button or a translate option

The matching relies on identifying objects in the screenshot, meaning structured elements the phone can recognize (a price, a QR code, a face, a text block) rather than just pixel regions. This object-awareness is what lets the system generalize across different screens rather than only matching exact pixel-for-pixel copies.

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What this means for everyday Galaxy phone users

For Galaxy phone users, this is the kind of friction-reduction that is easy to overlook until it exists. Screenshot workflows, crop, act, are one of the most repeated phone behaviors, especially for people sharing prices, addresses, recipes, or anything pulled from an app. A system that skips straight to the crop and queues up the next action is a real time save, not just a marginal one.

More broadly, this patent signals Samsung is pushing on-device behavioral learning into core OS interactions, not just camera or health features. If the crop recognition is solid, the same pattern-matching logic could apply to other repeated actions like highlight-and-search or screenshot-and-translate, areas where Google and Apple are also experimenting with contextual AI assistance.

Editorial take

This is a genuinely useful idea applied to one of the most frustratingly manual phone workflows. The patent is narrow enough to be credible and practical enough that you can picture it shipping in a Galaxy One UI update within a year or two. The main question is whether the object recognition is good enough to generalize across wildly different apps without annoying false positives.

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The drawings

24 drawing sheets from US 2026/0211538 A1 · click any drawing to enlarge

Patent filing page

Source. Full patent text and figures from the official USPTO publication PDF.

Editorial commentary on a publicly published patent application. Not legal advice.