I'm exploring different duplicate file finders for organizing a large data set, and I’m curious can duplicate finders ignore small file differences like minor metadata changes or slight variations in file size? Some tools claim to use hash comparison or byte-by-byte scanning, but that might not be ideal if the files are almost identical. I’m looking for a solution that can recognize near-duplicates, not just exact matches. Has anyone used a tool that can intelligently detect similar files despite minimal differences? Recommendations or experiences would be really helpful.
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Can duplicate finders ignore small file differences?
Can duplicate finders ignore small file differences?
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Great question! Most traditional duplicate finders, including many that use hash or byte-by-byte comparison, focus on exact matches and don’t usually account for small differences like metadata changes or slight size variations. However, some advanced software like DuplicateFilesDeleter offers “fuzzy” or similarity-based scanning modes that can detect near-duplicates by analyzing content patterns rather than strict byte equality. These tools can be great for finding files that are almost the same but have minor edits or metadata tweaks. I’d recommend looking for features like similarity threshold settings or “fuzzy matching” if that’s what you need. Has anyone else used tools that handle near-duplicates well? Would love to hear your thoughts!