What kind of figures can Paper Banana generate?

Paper Banana generates two main types of academic figures: methodology diagrams (system architectures, model pipelines, experimental workflows, algorithm flowcharts) and statistical plots (bar charts, line graphs, scatter plots, heatmaps, confusion matrices). All outputs are exported as high-resolution PNG images suitable for direct insertion into journal papers, conference submissions, theses, and presentation slides.

How does the Paper Banana 5-agent AI pipeline work?

Your input passes through five specialized AI agents in sequence. The Retriever searches a curated database of reference diagrams from top venues like NeurIPS and ICML. The Planner translates your text into a detailed structural description. The Stylist applies academic visual standards. The Visualizer renders the final image. Finally, the Critic evaluates the output against your source text and triggers refinements if needed.

How many credits does each generation cost?

Each iteration costs 5 credits. With the default 3 iterations, a typical generation uses 15 credits. The Critic agent may approve the result early, in which case unused iteration credits are not charged.

Are the generated figures suitable for journal publication?

Yes. Paper Banana applies formatting conventions from top academic venues including NeurIPS, ICML, CVPR, Nature, IEEE, and ACM. Output resolution goes up to 4K, and figures are exported as PNG — the standard format accepted by all major publishers and LaTeX document systems.

Do I need any design skills to use Paper Banana?

No. Just paste your paper text or data and describe what you want in plain English. Paper Banana handles all visual design decisions — layout, color palette, typography, arrow routing, spacing — automatically, based on the conventions of your target venue.

How long does generation take?

A typical generation with 3 iterations takes about 2 minutes. The main time cost is the image rendering step (~60 seconds per iteration). You can monitor real-time progress in the Pipeline Log.

Showcase

Browse Paper Banana figure examples at full proportion

This gallery uses the same example set as the homepage, but displayed in a masonry layout so each figure keeps a more natural aspect ratio. It is a better place to scan architecture diagrams, statistical plots, side-by-side comparisons, and polished research visuals without forcing everything into one card shape.

Methodology diagramsStatistical plotsPublication-style refinements

Example figures

A mix of workflows, figure sizes, and visual styles generated with PaperBanana.

Multi-agent planning framework with iterative refinement loop

Lens module vs reasoning module architecture comparison

Performance comparison across coding and image dimensions

Aesthetically enhanced methodology diagram for publication

Multi-dimensional player performance radar chart

End-to-end case study with pipeline visualization

Side-by-side methodology diagram comparison

Diagram category classification overview

See the examples, then make your own

If the figures here match the level of clarity you need in a paper, start from the generator. If you want to understand the different workflows first, open the features page.

Open Generator View Features