Image RGB Histogram & Exposure Analyzer

Analyze RGB color channels, luminance curves, highlight/shadow clipping, and dynamic range with real-time exposure feedback and 100% in-browser processing.

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🔒 100% Local Processing — Image histogram and exposure analyzed entirely in your browser memory. Nothing is ever uploaded.

256-Bin Typed Array Scanning

Image RGB Histogram & Exposure Analyzer

Inspect RGB color distributions, luminance curves, highlight/shadow clipping, and dynamic range with real-time exposure feedback.

Upload Photo

How to use this tool

Upload any photo (JPG, PNG, WebP, SVG) by dragging and dropping it into the workspace, clicking to browse, or pasting from clipboard (Ctrl+V / Cmd+V).
Inspect the real-time histogram chart displaying Red, Green, Blue, and Luminance frequency distributions across 256 tonal bins (0–255).
Switch between Display Modes: Combined RGB Overlay, Individual Channels (Red, Green, Blue), or Luminance (Y) curve.
Review Shadow Clipping (pure black at bin 0) and Highlight Clipping (pure white at bin 255) warnings to identify lost detail.
Toggle the Clipping Mask Overlay on the image preview to highlight crushed shadow regions in blue and blown-out highlights in red.
Examine precise exposure metrics: Mean Luminance, Median, Standard Deviation (Contrast), and Dynamic Range coverage.
Use the Exposure and Contrast sliders to simulate tone adjustments and watch the histogram curves update in real time.
Download a high-resolution snapshot of the histogram chart, export the statistical report as JSON, or save the tone-adjusted image.

Frequently asked questions

Quick answers about file privacy, processing modes, formats, and device support.

An image histogram is a graphical representation of the tonal distribution in a digital photo. The horizontal axis represents brightness from pure black (bin 0 on the far left) to pure white (bin 255 on the far right). The vertical height of the curve shows how many pixels in the image share that specific brightness level.

Clipping occurs when tonal values exceed the dynamic range of the image sensor or file format. Shadow clipping (spikes at bin 0) means shadow areas are completely crushed into pure black with zero recoverable texture. Highlight clipping (spikes at bin 255) means bright skies or lights are blown out into solid flat white.

An RGB histogram displays individual Red, Green, and Blue channel distributions, revealing if a single color channel is oversaturated (for example, clipping in the red channel on a rose). A Luminance histogram calculates perceived human brightness using Rec. 709 weighting (0.2126R + 0.7152G + 0.0722B), giving an accurate reading of overall visual lightness.

When enabled, the workspace highlights crushed shadow pixels (brightness < 2) in bright cyan/blue and blown-out highlight pixels (brightness > 253) in neon magenta/red directly on your photo preview, so you can immediately see where detail is lost.

Mean brightness indicates overall average lightness (around 128 is a balanced midtone). Median represents the midpoint luminance value. Standard Deviation measures tonal spread: a low standard deviation indicates a low-contrast or flat image (fog, haze), while a high standard deviation indicates high contrast with deep blacks and punchy whites.

No. 100% of the pixel scanning, histogram binning, statistical calculations, and chart drawing execute locally inside your browser memory. Nothing is ever uploaded.

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