Overview
Introduction
This tool scans every pixel of an uploaded PNG and reports its colors converted to CIE LCh(ab), a perceptually-uniform color space expressed in polar Lightness/Chroma/Hue coordinates.
It's a more perceptually accurate alternative to HSL for understanding how 'colorful' or 'light' a color really looks to the human eye.
What Is PNG to LCH Colors Converter?
A client-side color analysis tool that decodes a PNG, tallies its distinct RGBA colors, and converts each one through linear sRGB and CIE XYZ into CIE L*a*b*, then rewrites a/b as cylindrical Chroma and Hue.
The output is a readable plain-text report rather than raw pixel data, capped at the 256 most frequent colors for readability, listed in the standard L/C/H field order.
How PNG to LCH Colors Converter Works
Every pixel's exact RGBA value is counted in a frequency map; the resulting unique colors are sorted from most to least common.
Each color's sRGB values are linearized, converted to CIE XYZ against the D65 reference white, then to CIE L*a*b*; Chroma is derived as sqrt(a^2 + b^2) and Hue as atan2(b, a) converted to degrees (0-360).
When To Use PNG to LCH Colors Converter
Use it when you need a more perceptually accurate sense of color lightness and colorfulness than HSL or HSV provide.
It's also useful for design work that needs to reason about perceived color differences, since CIE Lab-derived spaces track human vision more closely than simple RGB-derived ones.
Often used alongside PNG to HCL Colors Converter, Hex Color to LAB Converter and LAB to Hex Color Converter.
Features
Advantages
- Runs entirely client-side; your image is never uploaded to a server.
- Uses the standard, well-documented CIE Lab-to-LCh derivation rather than an approximation.
- Groups identical colors together with counts, rather than dumping every pixel individually.
Limitations
- The conversion assumes a standard sRGB source image and the D65 reference white; it isn't ICC-profile-aware for images tagged with a different color space.
- The report caps out at the 256 most frequent unique colors; images with huge color diversity (like photos) will have many rarer colors omitted.
Examples
Best Practices & Notes
Best Practices
- Focus on Chroma when you want to compare how 'vivid' colors are independent of brightness.
- Cross-reference with the HCL converter only if you specifically need the H/C/L field order for another tool's expected input format; the numbers themselves are identical.
Developer Notes
rgbToLch is the pure, individually-exported core function (sRGB -> linear -> XYZ (D65) -> Lab -> cylindrical LCh); the HCL converter imports and reuses this exact function rather than re-deriving the same math, only reordering the returned fields for display.
PNG to LCH Colors Converter Use Cases
- Perceptually-aware color analysis for design or accessibility work
- Comparing how vivid/colorful different image regions are via the Chroma value
- Educational exploration of CIE Lab-derived color spaces
Common Mistakes
- Assuming LCH and HCL are different color models: they're the exact same numbers in a different field order.
- Expecting Hue to be meaningful for very low-Chroma (near-gray) colors, where the angle becomes numerically unstable.
Tips
- Sort your own further analysis by the Chroma column if you're hunting for the most vivid colors in an image.
- Pair with the HCL converter only when a downstream tool specifically expects that field order.