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Paint over it. Let the photo fill the hole.

A power cable across a product shot, a tourist in the corner of a temple photo, a price sticker on a box. You paint the thing, the tool rebuilds the area from the pixels around it, and the picture keeps its texture.

Short answerLast edited October 31, 2026

The AI Object Remover paints over an unwanted object, rebuilds the area behind it from the pixels around the selection, and blends the patch so no outline is left. The repair runs in your browser, so the photo is never uploaded.

How it works

1

Add the photo

Open the picture with the object, person or text to erase.

2

Paint over it

Cover the unwanted part; the area is rebuilt from what surrounds it.

3

Download the photo

Save the patched picture.

18%
painted area
keptfeathered edgeremoved

Only the dashed area is thrown away. Everything around it is evidence for the fill: colour, brightness and the small high-frequency grain that makes a wall look like a wall.

Three kinds of jobs, three brush habits

Cables, hairs, scratches, a strand of grass across a face. Use a small brush and paint just over the line, adding ten or twenty pixels of margin on each side. A tight mask on a thin line leaves a visible trace because the fill has almost no data to work with.

Before you press fill
  • The whole object is inside the red paint
  • Its drop shadow is painted too
  • No unpainted sliver on the far edge
  • Large areas are split into two passes

Backgrounds that heal well

Sky and cloud

Soft gradients and cloud are the easiest case: the fill only has to continue a slow change of colour.

Walls, floors, sand

Flat surfaces with grain come out convincingly, especially with texture matching switched on.

Grass and gravel

Random texture hides small errors, so a path or a cable through grass is a good candidate.

Brick and tiles

Regular patterns are risky: a course of bricks that stops or bends is visible immediately. Paint wider and fill in two passes.

Faces and hands

Avoid painting over people unless the area is small. Skin has no repeating pattern for the fill to copy.

Text on paper

Letters cannot be reconstructed. Removing a line inside a paragraph leaves a gap that a reader notices.

What does texture matching change?

The fill has two ingredients: a smooth colour field that comes from the surrounding area, and the fine high-frequency detail borrowed from the nearest known pixels. With texture matching on, both are used, so a wall keeps its grain. With it off, only the smooth field is used, which is cleaner on out-of-focus backgrounds and studio paper.

Why is there a faint smudge left?

Either a sliver of the object was outside the paint, or the pattern around the hole was interrupted. The usual fix is to paint slightly wider than before, including the smudge, and fill again. Three small passes beat one enormous one.

How big an area can be removed?

As a rule, smaller than a tenth of the picture. A small object on a large background fills convincingly; a whole person filling half the frame leaves a smooth region the eye reads as a blur.

Does the export keep the resolution?

Yes. Working happens at up to 2400 pixels on the long side and the download is a PNG at that size. Nothing is upscaled or downsized on the way out.

Object removal questions

Is the photo uploaded anywhere?
No. The brush, the fill and the export all happen in your browser tab. You can disconnect from the internet after the page has loaded and the tool still works, which is the simplest proof.
Can I remove a watermark from someone else's photo?
Technically the tool can paint over a mark, but using it to strip attribution from work you do not own is a copyright problem, not a technical one. Remove your own marks, dust, stickers and clutter.
Does it work on a phone?
Yes. Painting with a finger is coarse, so start with a large brush for the shape and a small one for the edges. Pinch to zoom in the browser if you need finer control.
Can I undo a fill?
The fill replaces pixels, so take the download first if you are unsure, or reload the file and start again. The mask itself can be cleared at any time, and painting a second pass costs nothing.
What format do I get?
PNG, which keeps the full quality of the filled area. Save it as a copy and keep the original untouched, in case a later pass needs more room around the object.
Why does a removal look better on some photos than others?
Because the fill copies what surrounds the hole. Uniform, repeating or soft backgrounds hide small errors; detailed, regular or high-contrast backgrounds show them. That is a property of the picture, not of the settings.

Object Removal Without a Server: What the Fill Really Does

Removing something from a photograph is a reconstruction problem. The pixels under the object were never recorded, so the program has to invent them from the pixels that surround the hole. Every tool does that in one of two ways: it either learns from millions of other photographs what usually goes in such a place, or it continues the pattern immediately around the mask. The first needs a server and a model. The second is what a browser can do in a second, and it is remarkable how often it is enough.

The fill on this page is a diffusion. Starting from the rim of the mask, colour and brightness are averaged inward until the hole is covered. That produces a smooth field that continues a gradient: a sky becomes lighter toward the horizon exactly as it did beside the hole, a wooden floor keeps its tone, a shaded wall keeps its falloff. On its own, though, a diffusion looks like a smudge, because it has no grain.

The second ingredient: borrowed detail

A photograph is not just colour, it is also texture — the fine, high-frequency variation of a real surface. The tool separates the two: it keeps the smooth field, then samples the detail from the nearest known pixels and adds it back inside the mask. That is why a plain wall keeps its plaster and a patch of grass keeps its blades instead of turning into a blurred stain.

This borrowing is also the source of the failures. If the nearest known pixels are a different material than the area being filled, the texture is wrong: a brick line can continue across a window, a shadow can stop abruptly. The practical response is to keep masks small and to paint the object plus its shadow, so the borrowed detail comes from the same material on both sides.

Painting better masks

Most disappointing results come from the mask, not the algorithm. Three habits fix almost all of them. First, paint ten to twenty pixels beyond the visible edge of the object; the soft boundary of a lens blur extends further than the eye expects. Second, include the shadow — a removal that leaves a shadow looks wrong even when the object is gone. Third, if the area is large, do it in two halves: the first pass gives the second one more known pixels to work from.

When a desktop editor is the honest answer

Content-aware fill in a professional editor does the same job with more compute, and a retoucher can clone texture precisely where a diffusion guesses. If the hole covers a face, a page of text, a product logo or a high-contrast pattern like a tiled roof, use those tools. This one is built for the everyday case: a cable across a product shot, a sign in the corner of a landscape, a stranger at the edge of a group photo, dust on a scan.

A workflow that keeps you out of trouble

  • Work on a copy. The original is the only undo that always works.
  • Fill the biggest object first, then the small ones that end up next to its edge.
  • Check the result at 100%, not zoomed out — errors hide in thumbnails and shout at print size.
  • Export PNG, and keep a note of which areas were rebuilt in case the picture is used at a larger size later.

One last thing worth knowing: the fill runs entirely in the tab, so the picture never leaves your machine and nothing is logged. That makes the tool usable for documents, ID photos and client material that a cloud service would not be allowed to see — a practical advantage that has nothing to do with the algorithm and everything to do with where it runs.

Dust, scratches and old scans

Family photographs and book scans are the quiet success story of this kind of fill. A dust speck, a scratch or a crease is small, sits on a surface with an even texture, and therefore heals almost invisibly. Work at a large brush size for the whole scratch, not point by point: the mask should cover the damage plus a margin, and the texture matching will borrow the paper grain from both sides.

The limit arrives with anything printed underneath. A scratch across a face, a caption, or a printed halftone pattern leaves a smooth patch the eye can find. In those cases the honest answer is a clone tool in a proper editor, used sparingly, with the original kept untouched next to the result.

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Quick facts

  1. Removing an object means inventing the pixels behind it: a plain wall is repaired perfectly, a crowd or a repeating pattern is not.
  2. A soft blend edge hides the seam of the patch, while a hard edge leaves a visible outline where the fill stops.
  3. The canvas specification defines toBlob and toDataURL for exporting the drawing, and the format and quality are chosen at export time.WHATWG
  4. A canvas is limited by memory: iOS caps its total canvas area, which is why very large image operations fail on a phone before a desktop.WHATWG
  5. JPEG splits the picture into 8×8 pixel blocks and stores a discrete cosine transform of each block, which is where its block-shaped artefacts come from.ITU-T

Questions people ask

How do I remove an object from a photo?
Paint over the object with the brush so it is fully covered, and run the repair. Check the filled area at full size. If a shape remains, paint a slightly larger area and repeat, because a tight selection often leaves an edge.
Why does the removed area look smudged?
The repair fills the area from its surroundings, so a textured or busy background such as grass, a crowd or a pattern is harder to reproduce than a plain wall. Choose a smaller selection or a photo with a simpler background.
Can object removal change the rest of the photo?
Only the painted area and its blended edge are changed. The rest of the picture is left as it was, so keep the original file in case you want to repeat the edit.

What this page is about

  • The HTML element that gives a page a pixel buffer to draw on and export as PNG, JPEG or WebP.

  • A lossy still-image format standardised as ITU-T T.81 in 1992 and still the default format of most cameras and phones.

  • ICC colour profile

    A file that describes how the colours of an image map to a device, defined by the International Color Consortium.

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