Multilingual Infographics Generator: A language-agnostic visual summarizer

In a globalized world where people speak different languages and create data in multiple languages, it can become challenging to share information. Traditional methods of using textual representations to summarize data not only consume time but can also increase the cognitive load. It is proven that visual representations are easier & faster to comprehend. Building on these findings, we propose a novel multilingual infographics generator that leverages the best state-of-the-art generative AI models to create an intuitive visual summary of data in any language. This solution accepts input in various formats, such as video, audio, or text, and in any language, uses an AI-powered pre-trained language translation model with automatic language detection to convert the input data into English text. Using this English text as input, the summary, keywords, and title are extracted for it. The keywords are used to identify the icons and the background template file. If the user prefers a language other than English, then the summary and the title go through a pre-trained language translation model again, resulting in a final infographic generated in the user's preferred language. Further, with the regeneration feature, it is possible to generate infographics in multiple languages for the same content. The proposed multilingual infographics generator enables users who are not fluent in the original language to quickly grasp the information in a language of their choice. This makes the data available to a wider audience, reduces the language barrier, and improves the language diversity.

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Publication Details

Published
2025-02-03
DOI
https://doi.org/10.1109/aixmm62960.2025.00009
Primary Topic
Speech and dialogue systems
Type
article
Field-Weighted Citation Impact
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article

Multilingual Infographics Generator: A language-agnostic visual summarizer

Janya Joshi, Lakshmi Ethirajan, Manoj Nath
Speech and dialogue systems
article

Multilingual Infographics Generator: A language-agnostic visual summarizer

Janya Joshi, Lakshmi Ethirajan, Manoj Nath
article en

Abstract

In a globalized world where people speak different languages and create data in multiple languages, it can become challenging to share information. Traditional methods of using textual representations to summarize data not only consume time but can also increase the cognitive load. It is proven that visual representations are easier & faster to comprehend. Building on these findings, we propose a novel multilingual infographics generator that leverages the best state-of-the-art generative AI models to create an intuitive visual summary of data in any language. This solution accepts input in various formats, such as video, audio, or text, and in any language, uses an AI-powered pre-trained language translation model with automatic language detection to convert the input data into English text. Using this English text as input, the summary, keywords, and title are extracted for it. The keywords are used to identify the icons and the background template file. If the user prefers a language other than English, then the summary and the title go through a pre-trained language translation model again, resulting in a final infographic generated in the user's preferred language. Further, with the regeneration feature, it is possible to generate infographics in multiple languages for the same content. The proposed multilingual infographics generator enables users who are not fluent in the original language to quickly grasp the information in a language of their choice. This makes the data available to a wider audience, reduces the language barrier, and improves the language diversity.

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Openalex Percentile: Top 95%
Speech and dialogue systems
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