Citation :

K. Thiruvarangan, B. Ishwarya, 2025. "Investigating the Use of AI in Enhancing the Accessibility of Digital Content for Visually Impaired Users" International Journal of Computer Science & Information Technology  Volume 1, Issue 1: 16-21.

Abstract :

This paper investigates how by including complex technologies into common tools and platforms artificial intelligence (AI) is transforming digital accessibility for visually impaired people. Given some type of vision impairment affecting over 2.2 billion people worldwide, digital inclusiveness has to be urgently improved. New opportunities for browsing and understanding digital content have been introduced by artificial intelligence applications including text-to----speech (TTS) engines, computer vision algorithms, and natural language processing (NLP) models. These devices enable spatial orientation by aural cues, read aloud text, describe visuals, detect things in real time, and simplify difficult language. Leading AI-based solutions including Microsoft Seeing AI, Google Lookout, Be My Eyes, and Facebook's Automatic Alt Text are evaluated in this paper. Case studies show that for visually challenged users, such technologies greatly improve digital independence and usefulness. To guarantee more general acceptance, the report also looks at technological and social issues such picture recognition mistakes, privacy issues, financial hurdles, and the digital skills divide. Future perspectives stress the need of context-aware artificial intelligence, multimodal sensory integration, open development, and active cooperation with visually challenged populations to improve impact. By means of thorough assessment and analysis, this study underlines that artificial intelligence can not only help but also empower, therefore facilitating fair involvement in the digital environment.

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Keywords :

Artificial Intelligence, Accessibility, Visually Impaired, Computer Vision, Text-to-Speech, Natural Language Processing, Assistive Technology, Inclusive Design.