Histogram Viewer
Analyze your image's color distribution and tonal range. View RGB channel histograms and luminosity data to evaluate exposure, contrast, and color balance instantly.
or drop an image here or paste
Analyze your image's color distribution and tonal range. View RGB channel histograms and luminosity data to evaluate exposure, contrast, and color balance instantly.
or drop an image here or paste
A histogram viewer displays the tonal distribution of an image by showing how many pixels exist at each brightness level across red, green, blue, and luminosity channels. This powerful analysis tool helps photographers and editors evaluate exposure, contrast, and color balance at a glance. RGB histograms reveal color channel distribution while the luminosity histogram shows overall brightness values from pure black to pure white.
Upload your photo to instantly generate comprehensive histograms for all color channels. Toggle visibility of red, green, blue, or luminosity channels to focus on specific aspects of your image. Use histogram data to identify overexposed areas (clipping on the right), underexposed regions (clipping on the left), or ideal tonal distribution with data spread across the full range. Download your original image after analysis in PNG, JPEG, or WebP format.
RGB histograms show individual color channel distribution - red histogram reveals red tones, green shows green channel data, and blue displays blue channel information. Luminosity histogram combines all channels into a single brightness representation, calculated using standard perceptual weights. View all four histograms simultaneously to understand color balance and identify color casts. Overlapping peaks in RGB histograms indicate neutral tones, while separated peaks suggest color dominance in highlights or shadows.
Use histogram viewers before editing photos to identify exposure problems, after shooting in bright conditions to check for blown highlights, or when color grading to ensure balanced tonal distribution. Histogram analysis helps with landscape photography to preserve shadow and highlight detail, portrait photography to evaluate skin tone distribution, and product photography to maintain consistent lighting. Essential for RAW photo editing, exposure bracketing evaluation, and verifying proper white balance in commercial photography.
View key statistics including mean brightness (average pixel value), median (middle value in distribution), standard deviation (contrast measure), and tonal range (difference between darkest and lightest pixels). Higher standard deviation indicates greater contrast and tonal variation. Images with mean values near 128 typically have balanced exposure, while values below 80 suggest underexposure and above 180 indicate overexposure. Use these metrics alongside visual histogram analysis for precise image quality assessment.