PaperBanana: The AI Expert for Automating Academic Illustration
PaperBanana is an agentic framework designed specifically for researchers to solve the "illustration bottleneck" in paper writing. It automatically transforms your raw research content—whether it's complex methodology text, experimental data, or rough hand-drawn sketches—into publication-quality illustrations that meet the standards of top-tier venues like NeurIPS and ICML.
Key Features:
- 🤖 Multi-Agent Collaboration: The system orchestrates five specialized agents—Retriever, Planner, Stylist, Visualizer, and Critic—to simulate the full workflow of a professional design team.
- 📐 Complex Architecture Diagrams: Simply input text descriptions (e.g., "Transformer Architecture," "RAG Pipeline") to generate logically clear and rigorously laid-out methodology diagrams.
- 📊 Zero-Hallucination Data: For statistical plots, PaperBanana generates executable Python Matplotlib code instead of raw pixels. This ensures your data presentation is 100% accurate and fully reproducible.
- ✨ Automatic Critique & Refinement: The "Critic" agent automatically compares the generated result against your original source text. If inconsistencies are found, it triggers iterative refinements until the output is perfect.
Say goodbye to tedious manual drawing and let AI elevate the visual quality of your research.
Try it now: 👉 https://paper-banana.ai
