PaperPlot is an AI-powered platform that automates scientific illustration for researchers. It uses a multi-agent architecture with specialized Retriever, Planner, Renderer, and Critic agents to transform text descriptions or rough sketches into polished, publication-ready academic figures. The platform generates methodology diagrams, statistical plots, and research visuals that meet top-tier conference standards like NeurIPS. Its Sketch Beautify feature uses vision-language models to interpret hand-drawn sketches and refine them into professional illustrations.

• Text-to-Diagram Generation: Describe your diagram in plain text and PaperPlot's agents plan the layout, render components, and produce a finished academic figure automatically.
• Sketch Beautify: Upload a rough hand-drawn sketch, whiteboard photo, or draft diagram and the AI interprets your intent, infers the scientific domain, and generates a polished publication-ready figure.
• Multi-Agent Architecture: Specialized agents (Retriever, Planner, Renderer, Critic) work together to gather context, design layouts, render images, and iteratively refine output quality.
• Self-Critique and Refinement: A built-in critic agent evaluates outputs for faithfulness, conciseness, and aesthetics, then triggers iterative improvements before delivering the final result.
• Statistical Plot Generation: Produces high-quality statistical plots with academic rigor, ensuring data is presented clearly for research papers.
• Publication-Grade Output: All illustrations meet academic standards with 300 DPI quality, clear visual hierarchy, and optimization for both color and grayscale printing.
• AI Image Generation and Editing Tools: Includes an image generator and sketch-based workflow with support for high-resolution outputs and iterative refinement.

• Purpose-built for researchers: Unlike general image generators, PaperPlot is designed specifically for academic and scientific illustration, so outputs follow publication conventions out of the box.
• Multiple input methods: You can start from a text description, upload a rough sketch, or use the direct image generator, giving you flexibility based on where you are in the design process.
• Fast turnaround: Sketch Beautify processes illustrations in 30 to 60 seconds, drastically cutting the time spent on figure creation compared to manual tools like Illustrator or TikZ.
• High-resolution output: Generates at 2K resolution (Sketch Beautify) or up to 4K (Pro tier), meeting the requirements of top-tier journals and conferences.
• Research-Focused Design: Optimized for diagrams, methodology figures, and statistical plots commonly used in scientific papers.

• Raster output only: Generated images are raster-based, not vector graphics, making them harder to edit precisely after generation. Researchers who need fully editable vector diagrams will find this limiting.
• Structural accuracy issues: The system can produce connection errors such as redundant links or mismatched source-target nodes, especially in complex diagrams. The critic agent does not always catch these.
• Fine-grained faithfulness gaps: PaperPlot still lags behind human illustrators when it comes to subtle structural details like arrow directions and precise element placement.
• Limited stylistic diversity: The standardized academic style guide constrains visual variety, which may not suit researchers wanting a distinctive illustration style.
• Credit-based pricing: Generation requires credits per output, which can limit heavy usage depending on plan.

• Conference Paper Submissions: You have a methodology that needs a clear architecture diagram for your NeurIPS or ICML paper. Describe the pipeline in text and PaperPlot generates a publication-ready figure that meets conference formatting standards.
• Turning Whiteboard Sketches into Figures: After a brainstorming session, photograph your whiteboard sketch and upload it to Sketch Beautify. The AI interprets your rough drawing and produces a clean, professional diagram you can drop directly into your manuscript.
• Statistical Data Visualization: You need plots for your experimental results section. PaperPlot generates high-quality statistical plots that present your data with clarity and academic rigor, saving you from wrestling with matplotlib styling.
• Iterating on Diagram Designs: Refine existing diagrams using natural-language feedback through an iterative generate-and-improve workflow.
• Cross-Domain Scientific Illustrations: Generate standardized academic figures across AI, data science, and other scientific fields with consistent formatting.