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Document digitization

62 articles · Page 1

This section collects the site's articles on turning paper records into usable digital documents and running a paperless workflow. It covers OCR software and accuracy, automated data capture, document capture and archival systems, and the tools that support digital archiving and digital document management. Articles compare digital document storage solutions, examine secure document storage and cloud document security, and set out document management best practices. Cost and return on investment are recurring themes, including the cost of document digitization, ROI calculations, and the pitfalls that derail projects. Additional pieces look at the role of AI in document digitization and processing, industry applications, case studies, and broader digital transformation trends and tools.

Frequently Asked Questions

What does document digitization involve?

Document digitization converts paper records into digital files that can be stored, searched and shared. It typically combines scanning or document capture with OCR software to make text machine-readable, then places the results in a document management or digital archiving system.

How is the ROI of a digitization project measured?

ROI is assessed by weighing the cost of digitization — equipment, software, labour and ongoing storage — against the savings and gains it produces, such as faster retrieval and reduced paper handling. Articles in this section also cover the risks and pitfalls that cause projected returns to fall short.

What affects OCR accuracy?

OCR accuracy depends on the quality of the scanned image, the condition and layout of the original document, and the type of text being read, such as printed versus handwritten. AI-based document processing is used to improve recognition on difficult documents, and validation steps catch remaining errors.