About Duplicate Image Detection

Finding duplicate images is essential for organizing digital assets, optimizing storage, and maintaining clean content libraries. Unlike simple file comparison, perceptual hashing can identify similar images even after compression, resizing, or minor edits.

How to Use This Tool

Select multiple images using the file picker or drag and drop
Adjust the similarity threshold based on your needs
Click "Find Duplicates" to start the analysis
Review the grouped duplicate sets in the results

Example Use Cases

Website Optimization: Remove duplicate product images from e-commerce sites
Content Management: Clean up duplicate assets in digital asset management systems
Photo Libraries: Identify similar photos in personal or professional collections

Hash Type	Accuracy	Speed	Resilience
Perceptual Hash	High	Medium	Format changes, resizing
Average Hash	Medium	Fast	Brightness changes

Frequently Asked Questions

What browsers are supported?

All modern browsers that support Canvas and File APIs. For large image collections, Chrome and Firefox typically offer the best performance.

How accurate is the duplicate detection?

Perceptual hashing is highly accurate for identifying visually similar images. The threshold setting allows you to balance between precision and recall.

Are my images uploaded to a server?

No. All processing happens locally in your browser. Your images never leave your device.

Duplicate Image Finder by Hash Compare

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Duplicate Image Finder by Hash Compare

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