There have been several developments in the field of ICT (Information and Communication Technology) in this digital age. To make a significant and pertinent contribution to the society, everyone has to keep up with the latest advancements. People with visual impairments lag behind in this field because of their inherent limitations. Technology must be upgraded, for differently-able people to get involved as an active member of their communities. One way to reduce this increasing gap and counter this trend is to design a system that is cost-effective for them and enables them to freely and broadly interact through the internet or other information infrastructure. Braille is a script used by people who are visually challenged or blind to write and read. Old Braille writings and documents must be preserved. Tangible Braille requires a lot of room for storage and upkeep because it is large and heavy. Documents that are only available as physical form could be easily lost. Preservation, distribution, and hard copy duplication will all benefit from automated Braille reading and digitization. A proposed method for converting printed Braille numerals into digital text is presented in this paper. Braille cells written on paper are recognized using Template Matching and Image Processing techniques. The transformation table and character mapping approach are used to establish rules for converting detected Gujarati numerals (Aakada) Braille cells into digital text. After conversion digital text is saved in a text file that can further be used. The model’s accurate translation of printed Braille Gujarati numerals (Aakada) to digital text yields good results.