Erase unwanted objects or areas from photos by painting over them.
Image Eraser Tool removes parts of a photo under a brush controlled by the user. Load an image, adjust the brush to suit the target, and paint across the object or region that should disappear. Smaller strokes help preserve nearby edges, while broader strokes clear open areas faster. The important surprise is that erasing creates transparent space; it does not reconstruct the scenery that an object previously concealed. Because photos can be sensitive, processing stays in the browser and nothing is uploaded.
Move the eraser brush across the exact pixels that should disappear. Brush diameter controls the width of each pass: a large brush clears broad interiors quickly, while a smaller one gives better control around hair, lettering, corners, and curved edges. Overlapping strokes enlarge the cleared region, so approach important boundaries gradually and inspect them at a useful zoom.
The result contains transparency where the brush removed pixels; it does not reveal the scene that was originally hidden behind an erased object. A checkerboard in an image editor ordinarily represents transparent pixels. Keep the result in an alpha-capable format such as PNG. JPEG cannot store an alpha channel and may show or flatten transparent regions as a solid color.
No. The original photograph contains only the visible surface of the object, not the hidden background behind it. This tool removes the painted pixels and leaves transparency. If you need the gap filled convincingly, use an image-repair or inpainting tool and inspect the generated detail for errors.
Yes, provided the downloaded image uses a format that supports alpha transparency. PNG is the usual choice for retaining transparent pixels. JPEG is not suitable because it has no alpha channel. If another application shows a solid background, verify that it imported the PNG transparency instead of flattening the image.
The behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
Convert CSV data into structured JSON arrays or objects with automatic type detection.
Transform JSON arrays and objects into downloadable CSV spreadsheet format.
Convert YAML configuration files to JSON format with validation and formatting.
Parse XML documents and convert them to equivalent JSON structure with attributes.
Convert tab-separated values to comma-separated format with proper escaping.
Convert numbers between binary, octal, decimal, and hexadecimal bases.