Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{171772,
author = {Shivani Vijay Mahale and Dr. Shilpa Joshi},
title = {I.T.A.L Translator},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {8},
pages = {979-983},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=171772},
abstract = {This research explores the role and effectiveness of the ITAL Translator, an innovative tool specifically designed to enhance multilingual accessibility by converting images containing text into spoken language. The study's primary aim is to evaluate the ITAL Translator's efficacy in facilitating seamless communication across diverse language barriers, making it an invaluable resource for global communication. By focusing on both non-native speakers and visually impaired individuals, the ITAL Translator aims to bridge significant communication gaps that traditional methods often overlook.
Using a robust mixed-methods approach, data were meticulously gathered through extensive user feedback, comprehensive performance tests, and detailed surveys. These methods provided a holistic understanding of the tool's performance and user experience, ensuring that the findings are both reliable and insightful. The results indicate that the ITAL Translator significantly improves accessibility for both non-native speakers and visually impaired individuals, effectively enhancing their ability to understand and interact with written content.
This research concludes with comprehensive recommendations for further enhancements to the ITAL Translator, aiming to broaden its impact and usability across different contexts and ensuring it meets the needs of a diverse user base. By addressing potential improvements and expanding its functionalities, the ITAL Translator can become an even more powerful tool for promoting inclusivity and effective communication in various settings. These enhancements could include advanced image recognition capabilities, more natural text-to-speech output, and expanded language support, making the ITAL Translator a versatile and essential tool for overcoming language barriers.},
keywords = {ITAL Translator, Optical Character Recognition, Text-to-Speech, Multilingual Translation, Accessibility, Inclusivity},
month = {February},
}
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry