Last updated ·Published ·By the WiserWork team
Replace Image Color
Swap every pixel of one color in a photo for a different color
Click or Drag & Drop an image
No file selected
Pick a target color, a replacement color and how close a pixel needs to be to count as a match, and every qualifying pixel in your photo gets swapped instantly.
What is the Replace Image Color?
This tool reads the raw pixel data of your image and compares every pixel's RGB value against the target color you picked, using straight-line color distance. Any pixel within the tolerance radius gets overwritten with your replacement color; everything else is left untouched. A low tolerance only catches near-exact matches, while a high tolerance sweeps in a broader range of similar shades.
Common Use Cases
- Changing a product photo's background color from one flat shade to another
- Swapping a specific brand color across a logo or graphic without redrawing it
- Recoloring a flat-colored illustration element, like changing a red shirt to blue
How to Use the Replace Image Color
- Upload a photo that has a reasonably distinct, flat area of the color you want to change.
- Set the target color to match the shade you want to replace.
- Pick your replacement color.
- Raise the tolerance slider until the whole area is covered without spilling onto unrelated colors, then download.
Frequently Asked Questions
Why does raising the tolerance affect other parts of the image?
A higher tolerance catches more shades that are merely similar to the target, which can start including nearby colors you didn't intend to change — lower it if that happens.
Does this work well on photos with gradients or shadows?
It works best on flat, evenly lit colors. Gradients and shadows shift the RGB values gradually, so you may need a fairly high tolerance to catch the whole area, at the risk of also catching neighboring colors.
Is the color match based on exact RGB values only?
It uses Euclidean distance between RGB values, which is a straightforward way to measure how visually close two colors are, similar in spirit to how a photo editor's magic-wand tolerance works.
Because everything happens on raw pixel data, the results are fast and completely predictable — the same target, replacement and tolerance always produce the same output.