Image Histogram
Plot RGB channel distribution from an uploaded image on a canvas.
Read the color distribution of an image
A histogram shows how pixel values are distributed from dark to light. This tool samples the uploaded image and counts red, green, and blue channel values from 0 to 255, then draws each channel as a colored curve. Peaks near the left mean darker values; peaks near the right mean brighter values.
For example, a photo with a large spike at 255 in all channels may have clipped highlights, while a blue-heavy product image will show a stronger blue curve. The chart gives a quick technical read before making editing or compression decisions.
Sampling, not editing
This histogram is for inspection only. It does not adjust exposure, equalize tones, or preserve color-management metadata. The image is sampled in browser canvas, so private photos and design exports are not uploaded just to inspect their channel distribution. It is especially handy when two exported images look similar but one has heavier shadows or a color cast.
Frequently Asked Questions
How does the image histogram work?
It samples the uploaded image, counts each red, green, and blue value from 0 to 255, and plots the three channel curves.
What should I check before using it?
The chart is a sampled technical view, not a full photo editor with color correction controls.
When is this useful?
Use it for checking exposure, color channel balance, clipped shadows, clipped highlights, and image QA notes.
Is this private?
Yes. Pixel sampling and charting happen locally in the browser.
More free browser utilities for image, design, and publishing workflows.