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@article{188649,
        author = {Sanket Tendulkar and Parnika Thakur and Chetan Thakur and Satyam Thete and Prajwal Telang and Snehal Thawase and Geeta Zaware},
        title = {Smart Handwriting-to-Digital Note Converter with Auto-Formatting for Students},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {2598-2602},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188649},
        abstract = {Hand-written notes remain a common practice in classes and meetings for quickly capturing ideas. However, they are often messy and difficult to revise and reuse. For students in particular, transforming multiple pages of handwriting into clean digital text is challenging, as manually re-typing is time-consuming and handwriting OCR often is error-prone or places the original layout.
To achieve this, we developed an intelligent system that would transform handwritten notes into clean, editable, and well-formatted text. This idea was inspired by students who usually struggle to keep track of their notes between multiple notebooks and digital files. Our system used OCR-Tesseract, some image cleanup steps, and formatting using regular expressions. It can identify headings, bullet points, and line breaks, and set everything into a neater format.
The interface is simple: you upload a scanned image or photo of handwritten notes, and the system processes it. The result is a well-structured text file that can be exported as .txt or .doc, based on your need. It’s useful both for students in lectures and for professionals jotting down ideas. It helps turn messy handwritten pages into organized digital notes that are easier to search, reuse, and share, with little effort from the user.},
        keywords = {Handwriting, OCR, Note Digitization, Smart Formatting, Digital Notes, Students, Productivity, Revision.},
        month = {December},
        }