Visio-Voice Transforming Images into Sound for the Visually Impaired

The integration of deep learning and computer vision has led to groundbreaking innovations, notably in Image-to-Audio technologies. This transformative paradigm aims to provide comprehensible audio descriptions for visual content, offering increased independence and inclusivity for individuals with visual impairments. Rooted in intricate computational methodologies, this approach seamlessly translates visual data into auditory representations. The paper explores the technical aspects of Image-to-Audio conversion, emphasizing its potential applications in digital media, education, and everyday environments. Technology is seen as a societal catalyst, empowering individuals with visual impairments and fostering newfound self-sufficiency and autonomy.