FigEditor

• AI scientific figure generation from natural-language research prompts
• Sketch-to-figure conversion for turning rough concepts into polished visuals
• Reference-to-figure generation using uploaded images for visual guidance
• Editable scientific figures with revisions to labels, arrows, colors, modules, and layouts
• AI flowchart generation for research workflows and technical processes
• Figure vectorization for converting PNG and JPG artwork into scalable vector assets
• Editable SVG export for continued editing in compatible design and presentation software
• High-resolution PNG export with supported generation options up to 4K
• Multiple image models including Nano Banana, Nano Banana 2, Nano Banana Pro, and GPT Image 2
• Projects, conversation history, version history, and share links for ongoing research work

FigEditor is an AI-powered scientific figure workspace designed to help researchers turn complex ideas into clear, editable research visuals. The platform supports scientific figure generation for papers, presentations, posters, graphical abstracts, workflows, mechanisms, architectures, and other forms of research communication. Instead of starting every figure manually, users can describe a concept with text, upload a rough sketch, or provide a reference image and use the resulting draft as a starting point for further refinement.

The platform provides several specialized creation workflows, including AI scientific illustration, flowchart generation, graphical abstracts, scientific posters, and editable SVG illustrations. Its editing workflow allows researchers to revise visual elements such as labels, arrows, modules, colors, dimensions, and layout without necessarily rebuilding the entire figure. FigEditor also includes a figure vectorizer that can convert existing PNG or JPG graphics into scalable vector assets for continued editing.

FigEditor supports multiple AI image models, including Nano Banana, Nano Banana 2, Nano Banana Pro, and GPT Image 2. Depending on the workflow and model, users can create research-focused visuals, work with reference images, and generate detailed scientific compositions. Outputs can be exported as editable SVG files or high-resolution PNG images.

The platform offers free credits for new users alongside paid subscription plans. The Starter plan begins at $9.90 per month, while annual pricing starts at $99 per year. Higher plans provide larger credit allowances and additional commercial-use options.

FigEditor is primarily suited to researchers, academics, students, laboratories, educators, and teams that need repeatable workflows for creating and revising scientific visuals. Human review remains important because AI-generated figures should be checked for scientific accuracy, labels, relationships, and publication requirements before use.

Frequently Asked Questions

What is FigEditor?

FigEditor is an AI workspace for creating and refining scientific figures, diagrams, illustrations, flowcharts, graphical abstracts, and research posters.

Who is FigEditor designed for?

FigEditor is designed for researchers, academics, students, educators, laboratories, and teams creating visuals for scientific communication.

Can FigEditor create figures from text?

Yes, FigEditor can generate scientific figures from natural-language descriptions of mechanisms, workflows, architectures, experiments, and other research concepts.

Can I turn a sketch into a scientific figure?

Yes, you can upload a rough sketch and use FigEditor to develop it into a more polished scientific composition.

Does FigEditor support editable SVG files?

Yes, FigEditor supports editable SVG exports so generated scientific artwork can be refined in compatible design or presentation software.

How much does FigEditor cost?

FigEditor offers free credits and paid plans starting at $9.90 per month, with annual plans starting at $99 per year.

What AI image models does FigEditor support?

FigEditor supports Nano Banana, Nano Banana 2, Nano Banana Pro, and GPT Image 2 for different scientific visualization workflows.

Should AI-generated scientific figures be reviewed before publication?

Yes, researchers should verify scientific labels, relationships, claims, visual details, and journal requirements before publishing AI-generated figures.

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