AI Image Layer Separator: Separate Editable Elements
Separate a flat image into movable elements with automatic or custom AI layer separation.
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When to use this tool
Useful for poster revisions, element reuse and recomposition. Automatic separation identifies major elements; custom separation lets you describe what to extract. It does not recover the original design project, so inspect every layer.
Prepare and locate the action
Select the source image on your project canvas and find Split layers. If it is not visible, check More Tools and whether the asset type supports it. Keep the original and make sure you have permission to edit and use the source.
Step-by-step workflow
Choose an available layer model and automatic or custom mode. For custom extraction, specify a target such as “Extract the person, preserving hair and clothing edges.” Review the reservation estimate, then inspect each resulting layer and its transparent edges.
Example workflow
After separating a poster, move its main elements to try a new layout. Hide the source temporarily to check for leftover background fragments and duplicated content.
Settings and costs
Use the options and estimated cost shown in the current tool interface. Check the result and actual records after processing. Source dimensions, model and output can affect cost; this guide does not promise a fixed price.
Troubleshooting and quality checks
Layer count and quality depend on the input and model. Do not expect every character to become an editable text layer. Use image text editing when the goal is replacing wording.