Overview
Introduction
This tool scans every pixel of an uploaded PNG and reports its colors converted to Hue, Chroma, and Luminance (HCL), computed with the same perceptually-uniform CIE LCh(ab) math as the site's LCH converter.
It exists specifically for workflows that expect this color space's values in Hue-first order rather than the standard CIE Lightness-first ordering.
What Is PNG to HCL Colors Converter?
A client-side color analysis tool that decodes a PNG, tallies its distinct RGBA colors, and converts each one through linear sRGB, CIE XYZ, and CIE L*a*b* into cylindrical Hue/Chroma/Luminance values.
The output is a readable plain-text report rather than raw pixel data, capped at the 256 most frequent colors for readability, listed in H/C/L order.
How PNG to HCL 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*; the same Chroma (sqrt(a^2 + b^2)) and Hue (atan2(b, a) in degrees) as the LCH converter are computed, then presented alongside Luminance (L) in H/C/L order.
When To Use PNG to HCL Colors Converter
Use it when a downstream tool, library, or dataset expects this perceptual color space's values specifically in Hue-first order.
Otherwise, reach for either this tool or the LCH converter interchangeably; the underlying numbers are identical either way.
Often used alongside PNG to LCH 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.
- Reuses the exact same validated CIE LCh(ab) math as the LCH converter rather than a separate re-derivation, so the two tools can never drift out of sync numerically.
- 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
- Pick whichever of this tool or the LCH converter matches the field order your downstream workflow expects; don't run both expecting different numbers.
- Focus on the Chroma column when comparing how vivid different colors are.
Developer Notes
This tool's rgbToHcl function imports and calls rgbToLch from png-to-lch-colors-converter.ts directly, then destructures the returned {l, c, h} into {h, c, l} for display: a thin re-presentation wrapper, not a separate math implementation, so the two tools' numeric output can never diverge.
PNG to HCL Colors Converter Use Cases
- Feeding a color report into a tool or format that expects Hue-first field order
- Perceptually-aware color analysis for design or accessibility work
- Comparing how vivid/colorful different image regions are via the Chroma value
Common Mistakes
- Assuming HCL and LCH are different color models: they're the exact same numbers in a different field order.
- Running both this tool and the LCH converter expecting to cross-check different results; they'll always agree numerically.
Tips
- If you're not sure which field order you need, the LCH converter's standard CIE L/C/H ordering is the more universally recognized default.
- Use the Hue column to group similar colors together even when their Chroma or Luminance differ.