When this tool is useful
Removing plain studio, scan, icon, or diagram backgrounds when the subject is separated from a mostly uniform border color.
How local processing works
A bounded flood fill starts from the image border or chosen sample and follows connected pixels within the selected color distance. Matching alpha is reduced with optional feathering, then the flattened result is encoded as PNG.
How to use it
- Prepare and preserve the source: Keep an unchanged source, choose one supported static image, and start with conservative settings. Removing plain studio, scan, icon, or diagram backgrounds when the subject is separated from a mostly uniform border color.
- Run the bounded local operation: Process the decoded pixels in this browser; stop and adjust instead of accepting an ambiguous result. A bounded flood fill starts from the image border or chosen sample and follows connected pixels within the selected color distance. Matching alpha is reduced with optional feathering, then the flattened result is encoded as PNG.
- Inspect the flattened result: View the PNG over light, dark, and checkerboard backgrounds, inspect subject edges and enclosed areas at 100%, confirm that intended pixels remain opaque, and keep the source for any later edge repair.
Important limitations
This is connected color removal, not AI subject segmentation. Similar-colored subject edges, holes not connected to the border, shadows, hair, glass, soft focus, and uneven backgrounds can need manual cleanup; metadata and animation are discarded.
Verify the downloaded result
View the PNG over light, dark, and checkerboard backgrounds, inspect subject edges and enclosed areas at 100%, confirm that intended pixels remain opaque, and keep the source for any later edge repair.
Private by design
Your files stay in this browser. The tool does not upload the source or output to our servers.
Questions and answers
When is this tool useful?
Removing plain studio, scan, icon, or diagram backgrounds when the subject is separated from a mostly uniform border color.
What does the local operation do?
A bounded flood fill starts from the image border or chosen sample and follows connected pixels within the selected color distance. Matching alpha is reduced with optional feathering, then the flattened result is encoded as PNG.
Which limitations matter?
This is connected color removal, not AI subject segmentation. Similar-colored subject edges, holes not connected to the border, shadows, hair, glass, soft focus, and uneven backgrounds can need manual cleanup; metadata and animation are discarded.
How should I verify the result?
View the PNG over light, dark, and checkerboard backgrounds, inspect subject edges and enclosed areas at 100%, confirm that intended pixels remain opaque, and keep the source for any later edge repair.