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Chart2SVG Converts Raster Charts to Editable, Semantic SVGs.

Jinning Cui, Lu Chen, Haoyan Shi, Yue He, Chenglong Wang, Mengyu Zhou, Weidong Huang, Yunhai Wang· August 28, 2026 View original

Key takeaways

  • Chart2SVG converts raster charts to editable, semantically rich SVGs.
  • It uses a multimodal LLM and a new dataset (Beagle+) for robust recovery.
  • Generated SVGs are visually accurate and structurally consistent.
  • The Chart Structure Graph enables advanced interactive manipulations and repurposing.

Who benefits

MarketingMedia & PublishingData AnalyticsSoftware DevelopmentEducation

Summary

Chart2SVG is a multimodal large language model that transforms static raster chart images into structurally organized, semantically enriched SVG files, enabling programmatic editing and higher-level manipulations. It uses a new dataset and specialized training to achieve high fidelity and structural consistency.

This paper introduces Chart2SVG, an innovative multimodal large language model designed to convert static raster images of charts into dynamic, editable SVG (Scalable Vector Graphics) formats. Unlike simple image vectorization, Chart2SVG focuses on recovering the underlying structure and semantic meaning of the chart elements. This allows for not just visual replication, but also programmatic editing and manipulation of the chart data and presentation. To achieve this, the model incorporates chart-specific semantic tokens within a vision-language framework and leverages a newly created dataset, Beagle+, comprising 33,000 canonicalized chart samples. The training process includes specialized objectives and a rendering-aware post-training phase to ensure both visual accuracy and structural integrity of the generated SVGs. Furthermore, Chart2SVG constructs a Chart Structure Graph (CSG) that maps visual dependencies, opening possibilities for interactive exploration, chart repurposing, and layout reuse, significantly outperforming existing baselines in reconstruction fidelity and editing utility.

Why it matters

For professionals working with data visualization, marketing, or content creation, Chart2SVG offers a powerful tool to transform static, uneditable charts into flexible, interactive, and reusable assets. This can streamline workflows, enhance data storytelling, and improve accessibility.

How to implement this in your domain

  1. 1Evaluate Chart2SVG for converting legacy raster charts into editable vector formats for presentations or web.
  2. 2Integrate the Chart2SVG model into internal data visualization pipelines for automated chart generation and editing.
  3. 3Develop tools that leverage the Chart Structure Graph (CSG) for advanced interactive chart exploration.
  4. 4Train design and content teams on how to utilize the editable SVGs for repurposing and customizing visualizations.
  5. 5Explore potential applications in accessibility, allowing screen readers to interpret chart semantics.

Original post by Jinning Cui, Lu Chen, Haoyan Shi, Yue He, Chenglong Wang, Mengyu Zhou, Weidong Huang, Yunhai Wang

"arXiv:2608.26544v1 Announce Type: new Abstract: We present Chart2SVG, a multimodal large language model that converts static raster charts into structurally organized, semantically enriched SVGs that support programmatic editing. By incorporating chart-specific semantic tokens in…"

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Originally posted by Jinning Cui, Lu Chen, Haoyan Shi, Yue He, Chenglong Wang, Mengyu Zhou, Weidong Huang, Yunhai Wang on X · view source

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