A Review Paper on Image Text to Speech Converter for Visually Impaired People

Abstract

Visually impaired individuals face significant challenges in accessing textual information from images, such as printed documents, signboards, and digital screens. This paper presents an Image Text to Speech (ITTS) converter, a system designed to extract text from images using Optical Character Recognition (OCR) and convert it into speech using Text-to-Speech (TTS) technology. The proposed system employs image preprocessing techniques to enhance text recognition accuracy, followed by OCR-based text extraction and real-time speech synthesis. The solution is designed to be user-friendly, supporting multiple languages and adaptable to various devices, including mobile applications and embedded systems. By providing an efficient and accessible means for visually impaired users to understand textual content, this system contributes to improving their independence and daily interactions with their surroundings.