What is PaperBanana?
paper banana generates academic illustrations and scientific figures from text and image inputs.Supports text-to-image (T2I) and image-to-image (I2I) workflows, an integrated editor for targeted image edits (Nano Banana Edit), and statistical-plot/code assistance.
Produces publication-ready, high-resolution output (up to 2048px) suitable for journal papers, conference posters, presentations, and theses.Provides multiple academic styles—diagrams, flowcharts, architecture figures, concept maps, and schematics—using plain-language prompts to reduce design effort.
Uses a five-agent pipeline (retriever → planner → stylist → visualizer → critic) and iterative caption refinement to improve faithfulness, clarity, and label readability.Typical generation time is around 30 seconds, with iterative refinement available via the editor.
Evaluated on PaperBananaBench across faithfulness, simplicity, readability, and aesthetics to measure figure quality for researchers, students, and educators.
PaperBanana pricing Freemium
Verify on the official pricing page.
View plansPaperBanana user reviews
Based on 3 reviews, 66.7% of users recommend PaperBanana, rated highly for quality results.
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PaperBanana's key features
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Generates academic illustrations and scientific figures from text and image inputs (supports T2I and I2I workflows)
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Integrated editor (Nano Banana Edit) for targeted image edits and iterative refinement
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Statistical-plot and code assistance for figure generation
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Produces publication-ready high-resolution output (up to 2048px)
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Five-agent pipeline (retriever → planner → stylist → visualizer → critic) with iterative caption refinement
PaperBanana use cases
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Generate publication-ready figures for journal articles and conference posters directly from manuscript descriptions or rough sketches using Paper Banana's text-to-figure and image-to-figure workflows, iteratively refine layouts with the integrated editor to meet publisher style and resolution requirements (up to 2048px) without hiring a designer
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Convert raw experimental plots and datasets into clean, publication-quality statistical graphs and schematics with the statistical plot assistant and pipeline-based fidelity improvements, preserving data accuracy while customizing axes, labels, and color schemes for supplementary materials and figure panels
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Create cohesive diagrams, flowcharts, and multi-panel illustrations for grant proposals, lecture slides, and methods sections using multiple diagram styles and the iterative editor, ensuring consistent visual language across figures and high-resolution exports ready for submission or printing
Who is it for?
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Scientific illustrators
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Academic authors
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Academic writers
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Data scientists
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Academic researchers
