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AutoIllustrate
AutoIllustrate is a command-line tool that generates publication-grade academic figures and editable draw.io files from methodology briefs.
AutoIllustrate turns a paper section, system description, or verbal sketch into a publication-grade academic figure using a six-phase pipeline. It first creates an editable vector diagram as a draw.io file and then uses an image-generation model to produce a visually appealing PNG file. The tool relies on LLM sub-agents to decide content and deterministic Python code to handle geometry. It supports inputs such as .tex, .md, .py, and .txt files or project directories, and outputs draw.io files alongside exported PNG images. Designed for researchers, it integrates tools like the draw.io desktop CLI and coding agents to automate figure creation for scientific papers.
AutoIllustrate at a glance
Key features
- Generates editable vectorised diagrams as draw.io files
- Produces enhanced PNG figures using image-generation models
- Runs a six-phase pipeline from planning to verification
- Embeds matplotlib subplots into diagram files
- Supports interactive editing in the browser during runs
- Walks project directories to read relevant source files
Use it for
- Generating academic figures from methodology briefs
- Creating editable vector diagrams for research papers
- Restyling diagrams with image-generation models
- Automating figure creation from LaTeX source sections
Alternatives to AutoIllustrate
- FigureLabs — Generates editable, publication-ready scientific illustrations and plots from text or sketches.
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- Flash Papers — Generates interactive sites with charts and diagrams from paper links.
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- Draw.io Scientific Illustrator — It builds editable vector figures directly inside the Draw.io desktop interface.
- Auto Deep Researcher — Automates experiment operations to reduce manual babysitting of training loops.
- AI Scientist v3 — Automates end-to-end scientific research from task descriptions to complete papers.
- Litmaps — Generates dynamic citation maps and watches for new relevant papers.
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