IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 14 Issue 1 Computer Science English January - February 2026 N N Y 2026 01 03 Computer Sciences Handwritten Notes Digitization and Multilingual Summarization Using OCR and Generative AI English Y 9 16 Suchetha N V English Y Anisha Upadhayaya H S English N Anushree U Rao English N H N Swati English N Mallana Gowda G S English N https://doi.org/10.55524/ijircst.2026.14.1.2 This research proposes a fully client-side system for digitising and summarising handwritten notes that integrate optical character recognition (OCR) with advanced natural language generation models. Initial experimentation with a Convolutional Neural Network (CNN)– based handwritten character recognition system revealed significant challenges, including low recognition accuracy, strong dependence on dataset quality, and poor generalisation across diverse handwriting styles. A subsequent implementation using Gemini 2.5 Pro provided high-quality English summaries but failed to deliver equivalent performance for multilingual academic content. To overcome these issues, this study adopts a hybrid methodology combining Tesseract.js OCR for multilingual text extraction with Gemini 2.5 Flash for fast, context-aware, and language-flexible summarization. The system is able to take handwritten notes, convert them into clear and readable text, and produce well-structured academic summaries across different subjects and languages. Our tests show that it works reliably, adapts well to multiple languages, and is easy to use, making it a strong and practical tool for educational digitization. English Handwritten Note Digitization, OCR, CNN, NLP, Multilingual Processing, Summarization, Deep Learning https://ijircst.org/abstract.php?article_id=1430