OPTICAL CHARACTER RECOGNITION (OCR) APPLICATION FOR IMAGE TO BRAILLE TYPEFACE CONVERSION

The quantitative research titled "Optical Character Recognition (OCR) Application for Image to Braille Typeface Conversion" focuses on developing an application capable of converting text-containing images into a braille PDF document, ready for printing. This initiative aims to benefit students with visual impairments in the educational environment, offering them a valuable tool for processing educational materials tailored to their specific needs. The project underwent evaluation by 10 experts and 20 co-developers, assessing its functionality, responsiveness, performance, and usability (user satisfaction). Data, collected through Microsoft Forms, were analyzed using the mean score for each category. The results indicated that Product Functionality, Product Responsiveness, and Product Performance all received mean scores corresponding to the interpretation table's "Excellent" category (4.59, 4.52, and 4.51, respectively). Product Usability (User Satisfaction) achieved a mean score of 4.46, categorized as "Good." Overall, the application project received an impressive mean score of 4.52, denoting an "Excellent" rating. This signifies that the application is highly acceptable, effectively fulfilling the intended functions for end users.

Keywords: Optical Character Recognition (OCR), Braille, Typeface Conversion, Text Extraction, Application