Survey on Intelligent Document Processing: A Comprehensive Approach to Summarization, NER, Language Conversion, and Plagiarism Detection

IDP technologies transform the way of information management of various domains with both education and law being on the list. A survey paper encompassing a complete overview of four highly critical modules: PDF/DOCX summarization, named entity recognition, English to Hindi language translation, and plagiarism detection is presented here. IDP technologies enrich academic integrity in the field of education, make easy the processes involved in research, and help bridge language gaps for an inclusive learning environment. From a legal perspective, such technologies would help improve efficiency regarding reviews of documents, contract analysis, and research; thus, professionals would make more certain strides to keep ahead of nonconformities. Some of the major challenges include domain-specific solutions, data quality, ethical concerns, and user-centric design. The paper strongly emphasizes the need for further research and development with integrated, effective, and accessible IDP tools that would meet user requirements over time.