In today’s world, the growth in technology diminishes or eliminates the barriers faced by people with disabilities, especially visually and hearing-impaired citizens. This research study aims to design a device/application that could convert text to voice and vice versa and impart any societal benefit problems. The objective of this work is to create a program using Python that utilizes available Python libraries to convert a visual image of text into spoken words. In this case, a visual image of text could be a newspaper article or other text that one may encounter in daily life. One advantage of Python is that it contains an extensive set of libraries that any user can make use of. By utilizing libraries such as OpenCV, PyTesseract, and Google-Text-to-Speech this task was completed. This research work design is handled in three major steps: In the first step, the input image is taken and preprocessed using image preprocessing techniques; The second step includes the detection and extraction of text from the preprocessed image; The third and final step handles the process of converting the extracted text to its related voice using supporting libraries and techniques. The limitations could still apply to the hardware used in this project. A possible enhancement could be extending this system to have the features of speech-to-text.

Data Preprocessing Image Preprocessing Text Extraction Text-To-Speech TTS Speech-to-Text STT PyTesseract OpenCV.