Layer separation
Detect text, subjects, products, objects, shadows, and background instead of only cutting out the foreground.
AI image layer separator
AI image layer separation for generated visuals
Use AI to separate generated images into editable layers. Fix text, move subjects, remove objects, and export layer assets for creative tools.
What this page is solving
Generated images often fail in small local ways. A layer separator lets users keep the good composition while repairing text, props, layout, or background details.
Workflow
From flat file to editable handoff.
AI-specific editable layer workflow for generated image repair and export. The practical goal is a portable working file: visible layers, confidence-aware edits, and exports that fit the tools teams already use.
Background reconstruction
Fill hidden areas so moved layers do not leave holes in the composition.
Export control
Deliver ZIP layers and PSD-ready files before deeper plugin workflows.
Editor handoff
Keep Unlayer AI as the recovery step, then hand work to Photoshop, Figma, Canva, or motion tools.
Best-fit jobs
Use this when the image is already chosen.
The strongest users are not browsing for inspiration. They have one image and need to change something inside it.
Fix bad AI text
Move a generated subject
Remove an unwanted prop
Export clean assets for a design file
FAQ
Why use AI for layer separation?
Manual masking is slow, and generated images rarely come with source files. AI can infer useful semantic parts and fill occluded areas.
Can it fix bad AI text?
The product should isolate text-like regions and provide a focused correction workflow instead of regenerating the entire image.
What should users verify?
Edges, occluded areas, and text confidence. The editor should make uncertainty visible.