Real-Time Retrieving Vedic Sanskrit Text into Multi-Lingual Text and Audio for Cultural Tourism Motivation

Abstract

There are many uses for handwritten writing that has been digitally transformed. helping both those working in the field of education and visitors better understand the local culture. The Vedas are the best informational source for understanding Indian culture; the only drawback is that it exists in physical form. The ability to access cultural knowledge and historic heritage is facilitated by the real-time retrieval and translation of Vedic Sanskrit text. The tourist will benefit from this in understanding Indian culture and traditions and its significance. The manual Sanskrit text is translated into an easily editable format using the suggested methods in this study. The language translation and the audio generation in a specific selected language are the features of the methodology used. The proposed method has a four-step process i) image processing, ii) text extraction, iii) text-to-speech conversion, and iv) multi language translation. The OTSUs threshold method is employed in the suggested method to differentiate between the image’s foreground and background. Tesseract OCR is used for image processing. The LSTM is utilised in the real-time text extraction process. The outcome demonstrates that the suggested technique was effective in rendering the Sanskrit text into a variety of languages for the purpose of promoting cultural tourism.