Image to audio, text to audio, text to speech, video to text conversion using, NLP techniques

Abstract

Often, language bias between communicators can create communication problems. This article discusses a prototype that addresses this issue by enabling users to hear the content of text images. This involves extracting the text from the image and converting it into speech in the user's preferred language. Additionally, the device can be used by people with visual impairments. Overall, this device helps users to listen to the content of images being presented. The suggested system allows the user to take a picture, which is then scanned and analysed by the application to read the English text. The information obtained is then converted into voice, enabling visually impaired individuals to understand the content of the text. The output is delivered in speech format to provide access to information present on the document. To ensure better accuracy and performance, the system uses Natural Language Processing techniques. The system is designed with a Graphical User Interface (GUI) to improve accuracy and ease of use.