Automated Text-to-Audio Conversion for Visually Impaired People Using Optical Character Recognition

Dimensions

Kamali, S. M. and Malathy, V. and Devi, G. Uma and Deepa, S. K. and Anand, M. Raj and Vaishnodevi, S. and Dhairiyasamy, Ratchagaraja and Singh, Subhav (2025) Automated Text-to-Audio Conversion for Visually Impaired People Using Optical Character Recognition. International Research Journal of Multidisciplinary Scope, 6 (2). 992 - 1008. ISSN 2582631X

Full text not available from this repository.

Abstract

This work extracts text from images, PDFs, and PPT files using OCR and converts it to speech using gTTS. The system integrates Python, Tesseract OCR, and OpenCV, enabling audio output from printed and digital documents, including real-time smartphone video feed. The solution improves accessibility and ease of text-to-audio conversion.

Item Type: Article
Additional Information: Cited by: 0; All Open Access; Gold Open Access
Subjects: Computer Science > Human-Computer Interaction
Divisions: Engineering and Technology > Vinayaka Mission's Kirupananda Variyar Engineering College, Salem > Electronics & Communication Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 26 Nov 2025 10:01
Last Modified: 26 Nov 2025 10:01
URI: https://vmuir.mosys.org/id/eprint/226

Actions (login required)

View Item
View Item