FigEditor

FigEditor is an AI scientific figure generator aimed squarely at research communication rather than general image generation. The premise is familiar to anyone who has rebuilt a figure at midnight before a deadline: describe a mechanism, pathway or experimental workflow in text, upload a rough hand sketch, or hand it a reference image for style direction, and FigEditor returns a structured first draft. Because the draft already has labeled elements, arrows and an organized layout, the hard part of figure building — deciding what goes where — is largely done before you open a drawing tool.

The distinguishing capability is refinement. You can select a region and revise labels, arrows, modules, colors or layout without starting over, which matters because scientific figures fail on details: a mislabeled node or an arrow pointing the wrong way invalidates the whole graphic. Export is designed for downstream work, offering editable SVG as well as high-resolution PNG, so a figure can move into a paper, poster or slide deck and still be adjusted later. A companion vectorizer converts an existing flat PNG or JPG figure back into scalable assets, useful for recycling diagrams from earlier publications.

Beyond the core generator, FigEditor bundles specialized tools for tasks that researchers actually face: flowcharts, graphical abstracts, scientific posters, journal covers, infographics, conceptual and theoretical frameworks, mind and concept maps, pedigree charts, and data visuals such as bar charts, pie charts and heatmaps. Under the hood it offers several image model options, including third-party models marketed under names such as Nano Banana and GPT Image 2. Note that FigEditor is an independent platform and is not affiliated with, endorsed by, or produced by Google, OpenAI or any model vendor whose name appears in its interface. Pricing starts with free credits and moves to one-time credit packs that never expire, which suits the spiky workload of academic writing.