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.

翻译：本文介绍了一款名为文本查找器的安卓应用，该应用利用光学字符识别（OCR）技术，并借助谷歌云视觉API从设备摄像头拍摄的图像或用户手机中现有图像中提取文本。提取的文本可保存至设备存储中，所有历史提取记录均可通过用户友好的界面轻松访问。该应用还支持对提取文本进行编辑、删除和分享操作。其用户界面设计直观友好，适用于学生、专业人士及组织机构，可满足文档扫描、数据录入和信息检索等多种需求。通过手动键入或书写方式从图像中提取文本不仅耗时费力，还容易出错。本应用为从照片中提取文本并整理重要信息提供了一种高效且简便的解决方案。本文详细描述了应用中使用的OCR技术及谷歌ML Kit文本识别API的技术细节，并从性能与准确度角度介绍了应用的设计、实现与评估过程。此外，研究还探讨了文本查找器的核心目标与优势，例如减少所需时间与精力，以及提升基于文档的任务效率。