Chart4Blind: An Intelligent Interface for Chart Accessibility Conversion
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Abstract (arXiv)
In a world driven by data visualization, ensuring the inclusive accessibility of charts for Blind and Visually Impaired (BVI) individuals remains a significant challenge. Charts are usually presented as raster graphics without textual and visual metadata needed for an equivalent exploration experience for BVI people. Additionally, converting these charts into accessible formats requires considerable effort from sighted individuals. Digitizing charts with metadata extraction is just one aspect of the issue; transforming it into accessible modalities, such as tactile graphics, presents another difficulty. To address these disparities, we propose Chart4Blind, an intelligent user interface that converts bitmap image representations of line charts into universally accessible formats. Chart4Blind achieves this transformation by generating Scalable Vector Graphics (SVG), Comma-Separated Values (CSV), and alternative text exports, all comply with established accessibility standards. Through interviews and a formal user study, we demonstrate that even inexperienced sighted users can make charts accessible in an average of 4 minutes using Chart4Blind, achieving a System Usability Scale rating of 90%. In comparison to existing approaches, Chart4Blind provides a comprehensive solution, generating end-to-end accessible SVGs suitable for assistive technologies such as embossed prints (papers and laser cut), 2D tactile displays, and screen readers. For additional information, including open-source codes and demos, please visit our project page https://moured.github.io/chart4blind/.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Mar 2024.
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Citing papers per year: 2024: 2; 2025: 1; 2026: 2.
5 papers.
- 2025The Impact of Generative AI Coding Assistants on Developers Who Are Visually Impairedcited by 7
- 2024AltChart: Enhancing VLM-based Chart Summarization Through Multi-Pretext Taskscited by 3
- 2024ChartFormer: A Large Vision Language Model for Converting Chart Images into Tactile Accessible SVGscited by 3
- 2026Multimodal Information Fusion for Chart Understanding: A Survey of MLLMs -- Evolution, Limitations, and Cognitive Enhancementcited by 1
- 2026Semantic Segmentation of Node and Edge Diagrams for Assistive Technologycited by 0
- 2026Semantic Segmentation of Node and Edge Diagrams for Assistive Technology9 Jun 2026
- 2026Multimodal Information Fusion for Chart Understanding: A Survey of MLLMs -- Evolution, Limitations, and Cognitive Enhancement8 Feb 2026
- 2025The Impact of Generative AI Coding Assistants on Developers Who Are Visually Impaired10 Mar 2025
- 2024ChartFormer: A Large Vision Language Model for Converting Chart Images into Tactile Accessible SVGs29 May 2024
- 2024AltChart: Enhancing VLM-based Chart Summarization Through Multi-Pretext Tasks22 May 2024