This white paper explains how OCR capabilities can be efficiently implemented at endpoints without excessive resource consumption. It describes the challenges of running OCR locally, including processing overhead and image variability, and presents a lightweight Java-based OCR library integrated into endpoint sensors. The document details image pre-processing techniques such as normalization, denoising, scaling, and orientation correction to improve accuracy. Using optimized configurations and fast OCR models, the solution achieves reliable text extraction while running silently in the background. The paper demonstrates how endpoint-level OCR can enhance threat detection and data analysis use cases.

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