ImageCalcGen

Advanced Image Calculation & Generation Tools

Image Diff Tool

Compare two images side by side with difference highlighting and analysis.

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Results

Upload two images to compare them

About Image Diff Tool

The Image Diff Tool helps you compare two images and highlight their differences. It's invaluable for designers, developers, and quality assurance professionals who need to detect visual changes between versions.

How It Works

When you upload two images, the tool:

  1. Aligns the images (if they have different dimensions)
  2. Compares them pixel by pixel or using structural analysis
  3. Highlights differences based on your sensitivity settings
  4. Calculates statistical measures of the differences
  5. Provides visual feedback and export options

Key Features

  • Multiple Diff Methods: Choose between pixel comparison, structural similarity, or hybrid approaches
  • Adjustable Sensitivity: Control how small differences should be detected
  • Custom Highlight Color: Change the color used to mark differences
  • Detailed Statistics: Get precise measurements of the differences
  • Export Options: Save the diff image or toggle the overlay
  • Side-by-Side Comparison: View original and modified images together

Use Cases

  • Design Review: Compare design iterations to spot changes
  • Quality Assurance: Detect visual regressions in software interfaces
  • Photography: Compare edited versions to originals
  • Document Comparison: Find differences in scanned documents
  • Forensics: Analyze image authenticity and modifications

Technical Details

The tool uses different algorithms depending on the selected method:

Pixel Comparison:

// For each pixel
const diff = Math.abs(r1 - r2) + Math.abs(g1 - g2) + Math.abs(b1 - b2);
if (diff > threshold) {
    // Mark as different
}

Structural Similarity (SSIM):

// Compare luminance, contrast, and structure
const luminance = (2*μ1*μ2 + C1) / (μ1² + μ2² + C1);
const contrast = (2*σ1*σ2 + C2) / (σ1² + σ2² + C2);
const structure = (σ12 + C3) / (σ1*σ2 + C3);
const ssim = luminance * contrast * structure;

Hybrid Approach: Combines pixel and structural methods for balanced results.

All processing happens in your browser - no images are uploaded to servers.