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ACL Digital Empowered a US-based Federal Contractor for Efficient Document Management

Overview

A leading US-based federal contractor specializing in document management faced a significant challenge in digitizing low-quality optical character recognition (OCR) images of paper bonds. These bonds, often difficult for human eyes to read, prevented the digitalization process, which was crucial for efficient document management and storage.

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    Challenges

    High Resource Utilization

    The OCR images of the paper bonds were of poor quality, making it challenging to extract readable data

    Inefficient Processes

    The images were so degraded that even manual reading was a difficult and error-prone task

    Scalability Concerns

    The digitalization process was stalled due to the inability to accurately read the alphabet and digits from the low-quality images

    Benefits

    94% Accuracy

    The solution achieved a remarkable 94% accuracy in reading the alphabet and digits from low-quality thermal print images

    This marked a substantial improvement over traditional OCR methods, which struggled with the degraded quality of the images

    With the enhanced OCR capabilities, the digitalization of paper bonds was no longer blocked, enabling streamlined document management and processing

    Benefits

    94% Accuracy

    The solution achieved a remarkable 94% accuracy in reading the alphabet and digits from low-quality thermal print images

    This marked a substantial improvement over traditional OCR methods, which struggled with the degraded quality of the images

    With the enhanced OCR capabilities, the digitalization of paper bonds was no longer blocked, enabling streamlined document management and processing

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