Paper Banana

Paper Banana is an AI academic figure generator that creates publication-ready diagrams and statistical plots from paper text or data in under three minutes.

What is Paper Banana?

Paper Banana is an AI-powered tool for researchers, PhD students, and scientists that converts methodology text, experiment data, or rough sketches into publication-ready figures. It accepts input in plain text, JSON, CSV, or image drafts and outputs high-resolution PNG diagrams suitable for top-tier conferences like NeurIPS, ICML, CVPR, and ACL. The tool was developed with Peking University and Google Cloud AI Research, using a five-agent AI pipeline (Retriever, Planner, Stylist, Visualizer, Critic) that performs up to ten refinement cycles.

What makes Paper Banana stand out?

• 5-Agent AI Pipeline — Five specialized agents work in sequence (Retriever, Planner, Stylist, Visualizer, Critic) to ensure quality, benchmarked on 292 real diagrams from NeurIPS 2025 (PaperBananaBench).
• Mathematically Accurate Statistical Plots — Generates executable Python Matplotlib code from raw data, avoiding hallucinated numbers or incorrect axes; supports bar charts, line graphs, scatter plots, heatmaps, and confusion matrices.
• Conference Style Compliance — Auto-applies aesthetic guidelines for NeurIPS, ICML, CVPR, and ACL, including correct palettes, typography, line weights, and layout.
• Multi-Format Input — Accepts plain text descriptions, full methodology sections, JSON data objects, and CSV tables without preprocessing.
• Sketch-to-Professional Polish — Upload a rough sketch or draft; Paper Banana refines color, typography, spacing, and icons while preserving the scientific structure.
• High-Resolution PNG Output — Exports figures at 1K resolution (configurable aspect ratio for Pro users) suitable for journal submissions, conference papers, and theses.

Who should use Paper Banana?

• Researchers submitting to top AI conferences — Generate methodology diagrams and statistical plots that meet the visual standards of NeurIPS, ICML, CVPR, and ACL.
• PhD students creating thesis figures — Convert complex experimental workflows or system architectures into clear, publication-quality visuals without design expertise.
• Scientists without coding or design skills — Paste raw data or paper text and receive accurate, styled figures in minutes, eliminating the need for Illustrator, TikZ, or manual plotting.
• Collaborative research teams — Quickly iterate on figure drafts using plain English feedback, with the AI refining the output in real time.

Use cases

• Generating pipeline diagrams from methodology sections: Paste your method description (e.g., transformer architecture, GAN training pipeline) and get a structured diagram showing entities, relationships, and data flows.
• Creating accurate statistical charts from experimental data: Upload JSON or CSV files with raw results; Paper Banana generates Matplotlib-based bar charts, line graphs, or heatmaps with correct error bars and scales.
• Polishing hand-drawn sketches: Scan or photograph a rough figure draft; Paper Banana enhances layout, color, and typography to conference standards while keeping the original structure intact.

How does Paper Banana work?

1. Paste your content — Input methodology text, abstract, experiment results, plain English description, or a rough sketch (supports text, JSON, CSV).
2. AI generates and refines — Five agents analyze, plan layout, apply academic styling, and render the figure with up to ten quality-check cycles, completing in under three minutes.
3. Download and submit — Export a high-resolution PNG ready for journal or conference submission. Request changes in plain English for further refinement.

Pricing

Paper Banana uses a freemium model with a free tier that allows instant generation of structure diagrams. "Enhance with Pro" requires credits (users start with 10 enhance credits); the free tier offers unlimited basic structure generation and a limited number of enhance credits. No credit card is required to start.

FAQ

Is Paper Banana free?

Yes, Paper Banana is free to start. You can generate structure diagrams instantly without paying. The "Enhance with Pro" feature consumes credits, and you receive 10 enhance credits initially.

What types of academic figures can Paper Banana generate?

It generates methodology and pipeline diagrams, statistical plots (bar charts, line graphs, scatter plots, heatmaps, confusion matrices), and can polish existing sketches into conference-ready figures.

How is Paper Banana different from DALL-E or Midjourney?

Unlike general AI art tools, Paper Banana focuses on scientific accuracy: it generates executable Matplotlib code for statistical plots (no hallucinated numbers) and uses a five-agent pipeline developed with academic research partners to meet conference standards.

Can I use Paper Banana figures in published papers?

Yes, the tool is designed for publication-ready output and auto-applies style guidelines from top AI conferences. Export high-resolution PNGs suitable for NeurIPS, ICML, CVPR, and ACL proceedings.

Does Paper Banana support data from CSV or JSON?

Yes, you can paste raw JSON data objects or CSV tables directly; the AI extracts structure and generates accurate plots automatically.