Authors : Ritika Dhole; Meghana Singh; Vedantika Dhumal; Megha Dhotay

Volume/Issue : RISEM–2025

Google Scholar : https://tinyurl.com/2vjrhx85

Scribd : https://tinyurl.com/4nu7xj7d

DOI : https://doi.org/10.38124/ijisrt/25jun156

Abstract : "Python" aims to simplify document processing by offering an all-in-one solution for text extraction, audio conversion, and language translation. Users can upload PDF files to extract editable text, which can then be converted into audio using text-to-speech functionality, making the platform highly accessible, particularly for visually impaired individuals. In addition, the system provides multilingual support, enabling users to translate extracted text into multiple languages for wider usability. Developed using Python, the project utilizes libraries such as PyPDF2 (Python PDF Toolkit 2) for text extraction, gTTS (Google Text-to-Speech) for audio generation, and Google Translate API for translations. This tool is designed to be user-friendly, accurate, and efficient, catering to the needs of students, researchers, and professionals, while promoting inclusivity and enhancing productivity.

Keywords : Document Processing, Text Extraction, Audio Conversion, Language Translation, Text-to-Speech.