Automated, Context-Aware Alt Text Generation for Educational Documents Using Large Language Models
Year: 2025
Type: conference-paper
Abstract: This paper presents ALADDIN, a tool developed by [anonymized] to automate the generation of alternative text (alt text) for images in Microsoft Word and PowerPoint files, aimed at improving the accessibility of educational materials. The tool leverages Gemini Flash, a large language model (LLM), to generate context-aware and content-appropriate image descriptions by analyzing the surrounding text, slide content, existing metadata, and visual layout. Currently integrated into a user-friendly Google Colab notebook, ALADDIN has reduced alt text remediation time for large files of educational materials from weeks to hours. We describe the tool's implementation, evaluation, and future directions for broader accessibility enhancement.
Authors: Disha Baglodi, Bella Martincic, Norah Sinclair, Bruce N. Walker
Institution: Georgia Institute of Technology
Language: English
Subfield: Human Factors and Ergonomics
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4415444813