We propose a camera-based Android app. This app helps the visually impaired people to browse the text on different products. In this system camera captures the particular text on product. Multiple techniques are applied on the text. Such as Optical Character Recognition that supply the scanning and recognition of text and a few have the voice output. From a grayscale image, thresholding are often accustomed produce binary pictures i.e. image with solely black or white colors, Filtering are often used to cut back the noise of image, Next image segmentation technique is employed to perform the method of partitioning a textual image into multiple parts .The goal of segmentation is to modify and/or amendment the illustration of a picture into one thing that's a lot of significant and easier to recognized. Image scaling is that the method of resizing a textual image. Next technique employed in this project is template matching. Temples matching is a way in digital image process for locating tiny components of a picture that match a template image. Also template extraction are often employed in producing as a vicinity of internal control, some way to navigate a mobile golem or as some way to notice edges in images then finally voice output are going to be generated then visually impaired people will simply listen the text on it explicit object.