View an RGB Image Histogram
The histogram shows how red, green and blue pixel intensities are distributed from dark values on the left to bright values on the right.
Example
A night photo may show a strong concentration toward the left side of the histogram, while a bright snowy scene may produce larger peaks toward the right.
Factors That Affect the Result
Large images are sampled at a reduced width for faster analysis. Strong color casts can make one channel dominate, and clipped shadows or highlights may create peaks near the histogram edges.
Frequently Asked Questions
Does the histogram edit the image?
No. It only analyzes pixel values.
What does the left side represent?
Darker intensity values; the right side represents brighter values.
Is the image uploaded?
No. Analysis runs locally in your browser.
Related Tools
Reading an Image Histogram
A histogram shows how pixel values are distributed from dark to bright, often separated into red, green and blue channels. Peaks near either edge can indicate clipped shadows or highlights. Use the graph to understand tonal balance, but judge exposure together with the actual image rather than relying on the histogram alone.
Reading an Image Histogram
A histogram shows how pixel values are distributed from dark to bright tones, often separated into red, green, and blue channels. Clusters at either edge can indicate clipped shadows or highlights. Use the graph as a diagnostic aid alongside the actual image preview.
Technical Details and Practical Limits
An RGB histogram counts pixel intensities for the red, green and blue channels. Peaks show common tonal values but do not identify where those pixels occur, and clipped values near 0 or 255 can indicate lost shadow or highlight detail.