  A Text Finder, an android application that utilizes Optical Character
Recognition (OCR) technology with the help of Google Cloud Vision API to
extract text from images taken with the device camera or from existing images
in the users phone. The extracted text can be saved to the device storage where
all previous extracts can be easily accessed on a user-friendly interface. The
application also features editing, deletion and sharing options for the
extracted text. The user interface is user-friendly, making the application
accessible to students, professional and organizations for a variety of
purposes, including document scanning, data entry, and information retrieval.
Manual extraction of text by typing or writing from images can be very
time-consuming and can be prone to errors. This application is an efficient and
simple solution for extracted texts and organizing important information from
the photos. This paper describes the technical details of the OCR technology
and Googles ML Kit Text Recognition API used in the application, as well as the
design, implementation and evaluation of the application in terms of
performance and accuracy. The research also explores the key objectives and
benefits of Text Finder, such as reducing the time and effort required and
increasing the efficiency of document-based tasks.
