Photo Color Fill

A focused photo editing tool that recolors image regions by color similarity, enabling quick tinting and colorization for designers and marketers.

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About This Tool

This tool provides a focused, non-destructive color fill operation for raster photos. It targets regions by color similarity and recolors them with a chosen fill color, enabling quick recoloring, tinting, and colorization for designers and marketers.


Conceptual workflow: load image, specify source_color (the color to replace) and fill_color, set tolerance, choose fill mode (solid or range-based), run calculation, and export the result. The approach preserves transparency and shading to maintain realistic appearances.


Unique value lies in its parameter-driven recoloring: you can quickly experiment with branding colors or create variants for campaigns without manual painting. Core features include input formats, tolerance control, optional gradient-like behavior, alpha preservation, and straightforward PNG/JPEG exports.


This tool is designed for rapid, repeatable edits and can be integrated into automation pipelines with subsequent runs for multiple images.

How to Use

  1. Provide inputs: upload the image, specify source_color and fill_color hex values, set tolerance (0–
  2. , and choose an output format (PNG/JPEG).
  3. Choose method: select solid color fill or color-range fill for gradual replacement.
  4. Run calculation: apply color fill to pixels within the tolerance range of the source color.
  5. Review outputs: inspect the result, adjust tolerance or colors if needed.
  6. Export: download the edited image in the desired format.
How to use photo editor fill in color

Frequently Asked Questions

Find Quick Answers

What input formats are supported and what formats are produced?
The tool accepts common raster formats like PNG and JPEG as input. The output is provided as PNG or JPEG, with transparency preserved when using PNG. If JPEG is chosen, transparency is not supported in the final image.
How does tolerance work?
Tolerance defines how far a pixel's color can deviate from the source color to be recolored. It maps to a 0–100 scale, where higher values recolor more pixels. The distance is calculated in RGB space and can affect edge softness at boundaries.
Can I batch process multiple images?
The tool operates on a single image per run. To process multiple images, repeat the workflow for each image or automate with repeated invocations in sequence.
Does this preserve shading and anti-aliasing?
Yes, the approach preserves shading by using color distance rather than a flat replacement. Anti-aliasing at boundaries helps maintain smooth edges, especially when tolerance is high or fill_color contrasts with surrounding pixels.

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