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Lizely

Image Average Color Finder

Find an image's alpha-weighted average color locally and copy the exact HEX value.

Privacy: your files never leave your device. All processing happens locally in your browser.

How to use

  1. 1.Choose a supported image up to 20 MB.
  2. 2.Wait for local decoding and review the HEX, RGB, coverage, and sample dimensions.
  3. 3.Click the HEX value to copy it, then verify the swatch in its intended design context.

About Image Average Color Finder

Image Average Color Finder reduces the visible pixels in one image to a single representative RGB color. Choose a supported image and the tool decodes it, samples its pixels, calculates an alpha-weighted arithmetic mean, and displays the result as both six-digit HEX and decimal RGB. Click the visible HEX value to copy it. Processing stays in the current browser tab, so the file and sampled pixels are not uploaded to Lizely or an image-analysis service.

The calculation has an explicit definition. For every sampled pixel with nonzero alpha, each red, green, and blue channel is multiplied by that pixel's alpha value. The weighted channel totals are divided by the total alpha, then rounded to the nearest integer from 0 through 255. Fully transparent pixels contribute nothing because their stored RGB channels are invisible and may contain arbitrary encoder data. Partially transparent pixels contribute in proportion to their opacity. The reported alpha coverage is the total sampled alpha divided by the maximum possible alpha across the sample.

This is an arithmetic mean in the browser canvas color data, not a dominant-color clustering model. Two equally weighted red and blue pixels produce a purple average even though no purple pixel existed in the source. A small bright accent can be diluted by a large neutral background. If you need the most frequent colors, separated swatches, or subject-aware extraction, use the related Color Palette Generator instead. The single result here is best for rough background matching, placeholder styling, thumbnail summaries, design inventory, and quick visual comparison.

Large decoded images are downsampled before analysis. Images at or below 1,048,576 pixels are read at their decoded dimensions. Larger images are scaled proportionally so the analysis canvas remains at or below that pixel budget. The result therefore describes a high-resolution sample rather than a byte-for-byte average of every source pixel. Browser interpolation can slightly change the value compared with an offline full-resolution calculation. The interface reports both source and sample dimensions so this approximation is visible instead of hidden.

Input safeguards apply to compressed and decoded size. The selected file must be nonempty, use a supported browser image MIME type, and be no larger than 20 MB. After decoding, neither edge may exceed 20,000 pixels and the source may not exceed 40 million pixels. These limits reduce the risk of a small compressed file expanding into excessive canvas memory. Unsupported data, decode failures, unavailable canvas access, invalid dimensions, and an image with no visible pixels produce a clear error and no stale result.

Animated formats are evaluated from the frame exposed when the browser finishes its initial image decode; the tool does not average every frame or account for frame duration. Browser color management, orientation handling, wide-gamut conversion, and animation behavior can vary by format and browser. Canvas pixel access is requested as standard 8-bit RGBA data. The tool does not preserve or inspect EXIF, ICC profiles, camera metadata, filenames beyond display, or hidden text chunks. It also does not alter or export the source file.

The preview swatch uses the calculated HEX directly. It is useful for checking whether the number looks plausible, but appearance still depends on the display, browser, theme surroundings, and human adaptation. The copied value always contains exactly a hash followed by six lowercase hexadecimal digits. Clipboard permission can be denied by browser policy; when that happens, the value remains visible and selectable, and the interface does not falsely claim success.

For reproducible design work, record the input file, browser, displayed source and sample dimensions, and returned value. Do not treat one average as a proof of brand compliance, accessibility contrast, print matching, paint matching, or perceptual similarity. Use Color Contrast Checker for text contrast and Color Difference Calculator for a defined color-difference metric. MDN's Canvas getImageData documentation and the HTML canvas pixel-manipulation specification describe the RGBA pixel interface used by this implementation; the weighting rule and limits are deliberately documented product choices.

Methodology & sources

Decode locally, cap decoded dimensions, proportionally sample to at most 1,048,576 canvas pixels, ignore zero-alpha pixels, alpha-weight RGB channels, round once at output, and expose source/sample dimensions.

Frequently asked questions

Does the image leave my device?
No. Browser image decoding, canvas sampling, averaging, and clipboard output happen locally in the current tab.
Are transparent pixels included?
Fully transparent pixels are ignored, while partially transparent pixels are weighted by their alpha value.
Is this the dominant color?
No. It is one alpha-weighted arithmetic RGB average, not a frequency-based palette or subject-aware dominant-color model.
Why can another program return a different value?
Programs may use full-resolution pixels, different downsampling, gamma-aware or perceptual math, alternate animation frames, or different color management.

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