Text recognition is a crucial aspect of computer vision, playing a vital role in various applications such as document analysis, image search, and robot navigation. Despite significant research efforts, current methods still face challenges and have room for improvement due to factors like different fonts, text orientation variations, and varying image quality. Detecting text accurately is essential for techniques like content-based image retrieval (CBIR). In response to these challenges, this study aims to develop a flexible method for extracting text from challenging images using basic image processing techniques. The proposed system primarily targets processing English text and seeks to create an Android application capable of recognizing English content in images captured with smartphones. Leveraging tools like Mobile Device, Android, and cropping techniques, along with expertise in Android App Development, the goal is to develop a robust solution that can accurately identify and display text in an editable format on the mobile screen. By integrating these elements effectively, the proposed system aims to improve text recognition capabilities on mobile devices and enhance user experience.