![]() ![]() have become a major part of message conveyance in this digital world. The world is moving towards digitization, so are the means of communication are Phone calls, emails, text messages etc. Transferring on information, to the correct person, and in the proper manner is very important on a personal and professional level. In present situation, communication plays a vital role in the world. Application is able to recognize the text present in the image which stored in system or captured using camera and translate the text into the language needed and display the translation result back on to the screen of system. Also the application accepts text written and converts it into the language needed. It includes 4 modules voice recognition, translation and speech synthesis and image translation and gives audio of the translated language. The application recognizes speech (human matter) in one language to another user defined language to communicate in expressive manner. The aim of our project to automate the application to overcome from the language barrier among countries and also states within the country, the above mentioned application will perform the various features in the application. In this work a text-to-speech conversion system that can get the text through image and directly input in the computer then speech through that text using MATLAB. The recognized character is saved as text in notepad file. In this work, the OCR system is implemented for the recognition of capital English character A to Z and number 0 to 9. The main aims of this paper are to study on Optical Character Recognition with speech synthesis technology and to develop a cost effective user friendly image to speech conversion system using MATLAB. While in text to speech, there are many systems which convert normal language text in to speech. Text-To-Speech (TTS) conversion is a computer-based system that can be able to read any text aloud, whether it was directly introduced in the computer by an operator or scanned and submitted to an Optical Character Recognition (OCR) system.
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