Abstract: This project introduces a comprehensive document processing application that encompasses text extraction and file organization functionalities. The application offers a user-friendly interface for uploading documents and provides options for both text extraction and file sorting. Utilizing libraries for PDF parsing and Optical Character Recognition (OCR), the application extracts text from PDF and JPG files. Additionally, it employs file extension-based sorting to categorize files into separate folders according to their types. The backend logic efficiently handles file manipulation tasks, including folder creation and file movement, with robust error handling mechanisms in place. Moreover, the application ensures data security and user privacy during file processing and storage. Through thorough testing and validation, the application guarantees reliability and accuracy in document processing. This project aims to streamline document management processes, enhance user productivity, and provide a seamless experience for users dealing with diverse document formats.
Keywords: DocumentProX
Cite:
Ms. Devibala Subramanian, Vigneshwaran. J, "EFFICIENT DATA ENTRY AND DOCUMENT CLASSIFICATION USING AI FOR BUSINESS ABSTRACT", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133144.
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DOI:
10.17148/IJARCCE.2024.133144
