Count Distinct Colors in an Image
This tool samples RGB pixels and estimates how many different colors appear in the image. Large images are reduced for faster browser analysis.
Example
A flat logo may return only a few dozen sampled colors, while a photograph with gradients, shadows and texture can return thousands of distinct RGB combinations.
Factors That Affect the Result
Large images are scaled down to a maximum analysis area, so complex photos produce an estimate rather than a full-pixel exact count. Anti-aliasing, JPEG artifacts and subtle gradients can also create many near-identical colors.
Frequently Asked Questions
Is the result exact for every image?
No. Large images may be sampled at reduced resolution.
Does the tool modify the image?
No. It only reads pixel data.
Is the image uploaded?
No. Analysis runs locally in your browser.
Related Tools
Understanding Image Color Counts
A color count estimates how many distinct pixel colors appear in an image. Photographs can contain many thousands or millions of unique values, while icons and flat graphics often use far fewer. Compression, gradients, anti-aliasing and transparency can increase the count, so interpret the result in the context of the image type.
Understanding Color Counts
The number of unique colors in an image depends on source format, compression, gradients, and transparency. Photographs can contain many thousands of colors, while icons and flat graphics may use very few. Use the count to compare image complexity or evaluate palette reduction.
Technical Details and Practical Limits
Counting unique colors depends on decoded pixel values and color depth. Anti-aliasing, gradients and photographic noise can create thousands or millions of distinct colors even when an image appears to use only a few visual tones.