Paper Contents
Abstract
This research explores the development of an automated system that extracts textual content from PDF files, translates it into a target language, and generates natural-sounding speech output. Using open-source libraries such as PyPDF2, googletrans, and gTTS (Google Text-to-Speech), integrated within the Google Colab environment, the proposed framework provides a scalable and accessible solution for multilingual accessibility of documents. The system enhances information inclusivity by transforming written documents into translated audio, thereby supporting education, research, and accessibility for visually impaired users and non-native language speakers.
Copyright
Copyright © 2025 Aditi Dubey. This is an open access article distributed under the Creative Commons Attribution License.
