Copyright to Academia.edu Copyright to Academia.edu Grammarified Handwritten Text to Editable Text Ayush Jain 1 , Dhruv Ghode 2 , Nidhi Mehta 3 , Garima Joshi 4 and Nidhi Nigam 5 1 Student, B. Tech (Computer Science and Information Technology), Acropolis Institute of Technology & Research, Indore, Madhya Pradesh, India. Email: ayushjainci19@acropolis.in 2 Student, B. Tech (Computer Science and Information Technology), Acropolis Institute of Technology & Research, Indore, Madhya Pradesh, India. Email: dhruvghodeci19@acropolis.in 3 Student, B. Tech (Computer Science and Information Technology), Acropolis Institute of Technology & Research, Indore, Madhya Pradesh, India. Email: nidhimehtaci19@acropolis.in 4 Professor, B. Tech (Computer Science and Information Technology), Acropolis Institute of Technology & Research, Indore, Madhya Pradesh, India. *Corresponding Author 5 Professor, B. Tech (Computer Science and Information Technology), Acropolis Institute of Technology & Research, Indore, Madhya Pradesh, India. *Corresponding Author Abstract: Historical books, manuscripts, documents are regarded primarily if not exclusively as materials for research, whatever their origin or provenance. Hence, these need to be conserved and restored as paper is a biodegradable resource and deteriorates over time. Thus, converting them to digital form is a suitable option. This project seeks to classify an individual handwritten word so that handwritten text can be translated to a digital form. Nowadays demand increases to create a paperless environment. Recognition of handwritten text is easy for a human but it is a complex task for computer systems. Many researchers have done work in this field but hundred percent accuracy is not achieved by the researchers. Our eyes can figure out the handwritten character of different people but the computer cannot do this easily. Keywords: handwritten text to editable text, grammarly, grammarified text, handwritten text recognition, IAM dataset