BYTETOOLS

Image Histogram Viewer

View the RGB and luminance histogram of any image online. See exposure, mean, median and clipping percentages instantly — private, in-browser analysis.

Drop an image to view its histogramProcessed locally — never uploaded

What is the Image Histogram Viewer?

An image histogram shows how many pixels sit at each brightness level from 0 (black) to 255 (white).

  • 256-bin histograms for R, G, B and luminance
  • Combined RGB overlay view
  • Mean and median brightness statistics
  • Black-clipping and white-clipping percentages
  • Instant, full-image analysis on drop
  • 100% private — no uploads

How to use the Image Histogram Viewer

  1. 1

    Upload the image you want to analyse.

  2. 2

    Switch between luminance, combined RGB and individual channel views.

  3. 3

    Read the mean, median and clipping statistics under the chart.

  4. 4

    Use the shape of the histogram to judge exposure and contrast.

About the Image Histogram Viewer

An image histogram shows how many pixels sit at each brightness level from 0 (black) to 255 (white). This viewer builds full 256-bin histograms for the red, green, blue and luminance channels of any image you drop in, and draws them as an interactive chart — the same readout photographers use to judge exposure without trusting a screen's brightness.

Alongside the chart you get the numbers that matter: mean and median brightness, plus the percentage of pixels clipped to pure black or pure white. A left-heavy histogram means underexposure, a right-heavy one overexposure, and tall spikes at the extreme ends reveal detail that has been irretrievably crushed or blown out.

The analysis is 100% local — your photo never leaves the browser. It works on screenshots, scans and RAW-derived JPEGs alike, and updates instantly when you switch channels.

Frequently asked questions

How do I read an image histogram?

The horizontal axis runs from pure black on the left to pure white on the right, and the height of each bar is how many pixels have that brightness. A histogram bunched to the left means a dark image, bunched right means bright, and a spread across the range means good tonal coverage.

What does clipping mean in a histogram?

Clipping is when pixels hit the absolute limits — 0 or 255 — and detail is lost. This tool reports the exact percentage of pixels clipped at each end. A tall spike touching either edge of the chart is the visual symptom.

What is the luminance histogram versus the RGB histogram?

The luminance histogram weights the channels the way your eye perceives brightness (green counts most, blue least) and is best for judging exposure. The individual R, G and B histograms reveal color casts — for example, a blue channel pushed far right suggests a cool cast.

What are good mean and median values for a photo?

There is no universal rule — a night scene should be dark — but a typical well-exposed daylight photo has a mean and median somewhere near the middle of the range, roughly 100–145. A large gap between mean and median indicates a skewed tonal distribution, such as a bright sky over dark land.

Is my photo uploaded to generate the histogram?

No. The histogram is computed in your browser by reading the image's pixels with the canvas API. Nothing is transmitted, so the tool is safe for private or unpublished photographs.

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