Volume no :
10 |
Issue no :
1
Article Type :
Google Scholar
Author :
Mr. T. Udhayakumar, Jeevith karan D , Karthikeyan P , Kowshik P, Krishna prabhu E
Published Date :
25 - March - 2026
Publisher :
Journal of Artificial Intelligence and Cyber Security (JAICS)
Page No: 1 - 6
Abstract : T oday s digital world, a large amount of important information is stored in the form of scanned documents, images, and PDF files, making it difficult to edit, search, and manage the content efficiently. Extracting useful information from such non editable formats is a challenging task and often requires significant manual effort. This problem becomes more critical in sectors such as education, business, and administrat ion where document digitization and quick access to information are essential. This paper proposes an Optical Character Recognition (OCR) based Document Processing System designed to automatically extract text from images and PDF files and convert it into machine readable format. The system integrates image preprocessing techniques and OCR algorithms to enhance input quality and improve text extraction accuracy. It processes documents by performing operations such as noise reduction, image enhancement, and text recognition to generate clear and usable output. By analyzing and processing uploaded files, the system extracts textual data and allows users to view and download the results in a structured format such as PDF. The platform reduces manual data entry efforts and improves efficiency by providing fast and accurate document processing. The system is developed as a web based application using modern technologies including Flask for backend processing, along with Python based OCR modules for text extraction and file handling mechanisms for managing uploaded and generated documents. Experimental results demonstrate that the system significantly improves the speed and accuracy of text extraction from various document formats while minimizing human intervention . The proposed solution contributes to efficient document digitization, better data accessibility, and enhanced productivity in information management systems. Future enhancements may include support for multiple languages, integration of advanced machine learning models for higher accuracy, and deployment as a cloud based service for wider accessibility.
Keyword Optical Character Recognition, Document Processing System, Text Extraction, Image Processing, PDF Conversion, Data Digitization, Web Based Appli cation, Automation.
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