Enterprise organizations process large volumes of documents from
scanning, email attachments, customer portals, mobile uploads and batch
repositories. These inputs frequently arrive as composite PDFs containing
hundreds of pages or as image bundles in which multiple document types
are scanned together as a single file. Contracts, invoices, ID cards, health
records, financial statements, bank documents, bank cards, legal filings and
other records can coexist in one upload, creating complexity before the
actual document workflow begins.

Manual separation and categorization of these bundled documents is slow,
expensive and prone to error. Traditional rule-based systems also struggle with real-world variability in layout, language, scan quality and document structure. A fixed template or keyword rule may work for a narrow document set, but it often fails when documents are rotated, handwritten, multilingual, poorly scanned or structurally similar.