An Integrated OCR-Based Platform for Intelligent Document Processing and Text Recognition

Author(s)	Ms. Kavyashree K L, Ms. Aishwarya D Hebbar, Ms. Chaithra R, Ms. Namrata Dhapte S
Country	India
Abstract	The proposed project presents a smart digital solution for converting printed and scanned documents into editable text through image processing and recognition techniques. In many workplaces and academic environments, handling document data manually still consumes significant time and often leads to inaccuracies. Existing applications mainly concentrate on simple text conversion and lack advanced analytical and user-support features. To address this shortcoming, the developed system combines text recognition with intelligent document handling capabilities in a unified environment. The application accepts both images and PDF files, improves document quality before processing, recognizes textual content accurately, and supports additional facilities such as document categorization, text searching, highlighted results, accuracy evaluation, and downloadable reports. Built using Python-based technologies and interactive frameworks, the system offers a reliable, fast, and convenient approach for modern document processing while minimizing human effort and improving overall efficiency.
Keywords	Optical Character Recognition, Document Categorization, Image Processing, PDF Processing, Text Extraction, Text Recognition.
Field	Computer Applications
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-29
DOI	https://doi.org/10.36948/ijfmr.2026.v08i03.79756

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International Journal For Multidisciplinary Research