The document explains that media archives often contain 25–30% duplicate content, driving high storage costs and slowing cloud migration. Quantiphi’s AI-powered video deduplication scans large archives, fingerprints video, audio, and subtitle tracks, and uses similarity search to cluster unique and duplicate assets. Page 2 shows how multiple edits—graphics changes, audio variants, compliance cuts, teasers—create many versions of a master file, with duplicates costing about $200K annually for a 5-PB archive. Page 3 illustrates the solution architecture, and page 4 highlights features like frame-level accuracy, versatile embeddings, and improved search.

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