interScan Insight

Organizations today process more document types than ever before. Invoices, contracts, claims, applications, correspondence, tax forms, government records, healthcare documents, and financial statements all require different workflows, business rules, and extraction processes.

This matters because classification sits at the very front of the workflow. Before anything can be extracted, validated, or routed, a system must determine what kind of document it is dealing with. When that first decision is unreliable, every step that follows inherits the problem.

The question, then, is not whether a bureau can classify documents. It is whether the bureau can keep classifying accurately as clients, document types, and layouts keep multiplying, without scaling its labor and maintenance at the same rate. This is where the approach to classification matters most, and where JetStrea

For scanning and document operations teams, this matters because classification sits at the very front of the workflow. Before anything can be extracted, validated, or routed, the system must determine what kind of document it is dealing with. When that first step drifts, every downstream process can become less reliab

This guide covers mortgage and loan document processing from the document side: what makes loan files so demanding, where the workflow breaks, and how scanning combined with intelligent document processing accelerates the path from intake to underwriting.

This guide covers remittance and check processing from the document side: what the documents are, why capturing them is harder than it looks, and how production scanning combined with intelligent data extraction turns paper payments into structured, postable data.

This guide covers government document scanning as the distinct discipline it is: the federal mandate driving it, the FADGI and NARA standards that govern how it must be done, the funding that has supported it, and the workflow and technology decisions that determine whether a digitization program meets the standard or

An in-house scanning operation has three layers: the scanner that captures the paper, the capture software that controls scanning and turns images into organized, indexed files, and, optionally, the intelligent document processing layer that extracts structured data.

This guide is organized around volume, because volume is what actually determines the best approach. After a quick look at the universal four-step process, it walks through four scenarios by scale, then covers the special cases (bound books, oversized drawings, fragile archives) and the decisions, OCR versus IDP, file