AI Figure Editor

AI Figure Editor is a web-based AI revision workspace for scientific schematics that lets you upload an existing figure, describe a change in natural language, and generate a new version while the original stays in view.

What is AI Figure Editor?

AI Figure Editor is a web app for revising scientific diagrams and schematics with AI assistance. You upload a scientific figure, optionally mark a region that needs attention, and type an instruction such as "change CNN to Visual Encoder." The tool generates a revised version of the diagram and keeps the source image in the conversation for comparison. It is built for explanatory figures (methodology workflows, pathway illustrations, AI/ML architectures, graphical abstracts) and explicitly does not support editing experimental evidence like microscopy, gels, or plotted data.

Key Features

The page details six revision capabilities and several workflow safeguards that make the tool useful for scientific figure cleanup:

• Source retention — The original image is never overwritten; it stays beside every revision in the conversation.
• Region guidance — You can add an annotation guide to point the AI at a specific part of the figure before describing the change.
• Version continuity — Any generated result can be used as the starting point for the next revision, preserving context across turns.
• Human verification — The tool flags where an author should check scientific meaning, terminology, visual system, and submission fit; it does not claim final accuracy.
• Guided revision cases — Example edits cover methodology workflows, multimodal AI architectures, longitudinal study designs, and cell signaling pathways.
• Prompt structure support — Instructions are broken into explicit change/preserve/verify parts to reduce ambiguity in AI output.
• Revision record — Each generation logs the source, instruction, result, and author checks (e.g., "Labels checked," "Direction checked") in one place.

Who is it for?

• Researchers revising methodology diagrams — Replace a component label (e.g., "CNN" → "Visual Encoder") or realign blocks while preserving input/output names.
• Lab members preparing figures — Use the tool in lab meetings or coauthor reviews to turn messy early drafts into clearer figures before submission.
• Manuscript authors responding to reviewers — Translate reviewer comments like "Figure 2 is difficult to follow" into concrete, bounded revision plans.
• Scientists creating AI/ML architecture figures — Separate encoder lanes, distinguish training-only paths, and keep prediction heads intact.

What can you do with AI Figure Editor?

• Clarify a crowded research pipeline — The tool can align modules on one baseline, replace a generic label, and apply a consistent arrow color while preserving the stated input and output labels.
• Design a multimodal AI architecture — It separates image and text inputs into parallel encoder lanes, routes them through cross-modal attention, and keeps a dashed training-only path distinct from inference flow.
• Untangle a longitudinal study design — It moves participant flow (screening, eligibility, allocation, endpoint) into one row and places MRI/blood collection on a labeled visit timeline, preserving all time points.
• Reorganize a cell signaling pathway — Entities are assigned to extracellular, cytosolic, or nuclear compartments; activation (solid teal arrows) is distinguished from inhibition (dashed red blunt-ended lines), with a legend added.
• Improve graphical abstracts and conceptual diagrams — The tool recomposes panels, normalizes color/stroke/shape usage, and reduces diagram density without deleting any named entity or edge.

How does AI Figure Editor work?

From the on-page workflow: (1) Upload the source schematic; (2) optionally mark the target area with an annotation guide; (3) describe the revision, specifying what must change and what must stay untouched; (4) generate a new version and compare it against the source. The AI uses a generative image model, so any result is a draft that must be verified by a human author.

FAQ

Does AI Figure Editor overwrite my original figure?

No. The original source image and every generated version remain in the conversation so you can compare them side by side and continue from any result.

What types of scientific figures can I revise?

The V1 product is designed for methodology/workflow diagrams, mechanism/pathway illustrations, AI/ML architecture figures, graphical abstracts, and conceptual research diagrams. It is not for editing experimental evidence such as microscopy, gels, or plotted data.

Can I mark a specific region in my figure?

Yes. You can add an annotation guide that highlights the exact area to be changed. The source figure remains the primary input, and the marked copy directs the AI to that region.

Will the text and science always be correct?

No. The page states that generative image models can alter labels, symbols, and scientific meaning. Every result is a draft that must be compared with the source and reviewed by a qualified person.

Is AI Figure Editor free?

The page does not state whether the tool is free, freemium, or paid. You can start a revision directly from the site without any visible price or plan information.