Abstract: Text detection in natural images and videos is an important and challenging task in computer vision. The ability to detect and recognize text in images and videos has numerous applications in various fields, such as content-based image retrieval, document analysis, scene text recognition, and augmented reality. In recent years, several techniques and algorithms, including edge-based techniques, feature-based techniques, template matching, and machine learning-based methods, have been developed for text detection. Deep learning-based methods have achieved state-of-the-art results in text detection, but they require a large amount of annotated data and computational resources. This article provides an overview of the various techniques and algorithms used for text detection in natural images and videos, as well as their applications and challenges. Additionally, it highlights some popular programming languages that can be used for text detection tasks. Introduction: Text detect...