Image Histogram Viewer

or drop files here

Inspect how red, green and blue values are distributed across a photo. View the sampled histogram and download the 256-bin channel counts as JSON.

Read the horizontal range

Lower channel values lie toward the dark end and higher values toward the bright end. Peaks indicate many sampled pixels with similar channel values.

Compare color channels

Different red, green and blue distributions can reveal a strong color cast. A channel histogram is not the same as a single luminance histogram.

Understand sampling limits

Analysis uses a reduced preview rather than every full-resolution pixel. Fine detail can therefore contribute differently from an exhaustive pixel count.

Use the graph alongside the photo

A histogram describes distribution, not composition. It cannot tell whether a bright region is intentional or whether the subject is properly exposed.

Image Histogram FAQs

Not necessarily. A deliberately white background can create a bright-end peak. Inspect the picture as well.
No. It analyzes the image; use Photo Filters for brightness or contrast changes.
Bins near zero represent dark channel values and bins near 255 represent bright ones. Strong edge peaks can be worth inspecting for lost detail, but intentional black or white regions also create them. Read the sampled histogram together with the photo, not as an automatic quality verdict.