Solution
AI graphic design layer decomposition
Decompose flattened designs into reusable assets for composites, social variants, and design libraries.
Search intent
For designers and agencies rebuilding elements from raster creative.
graphic design layer decomposition
Design decomposition outputs
Extract hero objects, badges, decorations, and backgrounds.
Build lightweight PNG assets for Figma or Canva.
Use PSD for deeper Photoshop rebuilds.
Case studies
Match the specific search intent
Each SEO page should explain one concrete job. Otherwise pages compete with each other and feel duplicated.
design asset rebuild
- Problem
- The original design file is missing and the team only has a flattened image.
- Solution
- Run AI layer separation, inspect alpha planes, then export a PSD starting point.
- Benefit
- Reduce manual masking and rebuild the asset faster.
Variant production
- Problem
- Marketing needs new sizes, backgrounds, or motion versions without reshooting.
- Solution
- Use separated foreground, background, and detail layers as reusable plates.
- Benefit
- Ship more variants from one source image.
How it works
Decompose graphic designs into layers
Each solution uses the same workspace, but the copy and FAQ explain the exact output boundary for that search intent.
Upload the source image
Use JPG, PNG, or WebP. Start from the image you want to convert into layered assets.
Choose layer depth
Pick 1-10 semantic layers depending on image complexity and the target workflow.
Preview the stack
Review each extracted asset before adding it to a design library.
Export ZIP or PSD
Download PNG layers with manifest.json, or assemble a layered PSD for Photoshop and motion tools.
FAQ