Overview
How might we design object removal so people can trust and act on AI output?
When this pattern fits
- Perfect for photo editing tools, real estate photography, and content creation where removing unwanted elements improves image quality and composition.
When to skip or lighten it
- Removing content changes legal or journalistic meaning.
- The occluded background is too complex for plausible fill.
- Users need pixel-perfect forensic originals preserved.
States
State model coming soon
Key UX elements
Key UX elements coming soon
Anti-patterns to avoid
Single undo with no mask history.
Large removals with no progress or quality preview.
No before/after toggle on the edit.
Removing watermarks or IDs without policy friction.
How products use it
| Product | Implementation |
|---|---|
| Adobe Photoshop | Generative Fill remove with selection brush. |
| Snapseed | Healing and object removal on mobile photos. |
| TouchRetouch | Brush-to-remove with automatic background fill. |
| Google Photos | Magic Eraser on Pixel and Google One edits. |
Implementation
Copy this prompt to generate a production-ready implementation in Cursor, Claude Code, Lovable, or any AI coding agent.
Generate a production-ready implementation of the "Object Removal" AI interface design pattern.
Pattern Definition:Frequently asked questions
How does object removal UX work?
User paints the object, confirms, and the model fills the hole using surrounding texture and lighting cues.
What if the fill looks wrong?
Offer regenerate fill, smaller mask retries, or manual clone tools on the same layer stack.
Object removal vs inpainting?
Object removal is inpainting with delete intent. Same tech, simpler default prompt and brush UX.
Mobile considerations?
Fat finger brush, pinch zoom on mask, and low-res preview before full-res export.