OCR vs. IDP: A Tech Perspective on Document Processing

John Hall - Aug 22 - - Dev Community

For developers and tech enthusiasts, understanding the nuances between Optical Character Recognition (OCR) and Intelligent Document Processing (IDP) is crucial. These technologies are key players in automating data extraction, yet they differ significantly in their approach and capabilities.

OCR: The Basics of Text Recognition

OCR is the foundation of document digitization, converting printed or handwritten text into machine-readable data. It’s effective for straightforward tasks but hits a wall when dealing with complex documents or requiring more than basic text extraction.

IDP: The Evolution of Document Automation

IDP leverages AI to not only extract text but also to understand and process the context within documents. It’s a robust solution that handles various data types, automates workflows, and provides actionable insights, making it ideal for complex and large-scale operations.

Technical Breakdown:

OCR: Best for simple, text-heavy documents where basic extraction suffices.
IDP: A more advanced solution, ideal for diverse and complex document types with a need for full automation.

iCustoms IDP: A Custom Solution for Customs

Designed with the customs industry in mind, iCustoms IDP stands out with its adaptability, intuitive interface, and comprehensive features. It’s a game-changer for anyone dealing with customs documentation.

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