Text Interpreter & Converter

Abstract

With the exponential growth in data, it is essential to analyze it. The data is a valuable source ofinformation and knowledge that should be effectivelyinterpreted to be helpful. The data should be interpreted in different forms based on the user requirements to get precise information and knowledge. Nowadays smartphones are the most commonly used electronic device. A smartphone is notonly a communication device, it is also a powerful computing device. So it is possible to apply translation, text extraction, summary, and much moretechniques, which require much computational work. This paper presents an application to analyze the text from documents on smartphones. However, it is challenging to interpret the documents onsmartphones. The proposed application converts the documents or images to searchable and editable digital text, and further, it can be used to analyse them into different forms. The objective of this application is four-fold 1) To recognize text from documents orimages by using optical Character Recognition 2) Summarization of the text 3) Translate the extracted text to different languages 4) Generation of speech from the text by using a text-to-speech algorithm.