PaperClaw is a focused AI workspace for creating scientific figures. Instead of general-purpose image generation, it targets the specific visuals academics need: methodology and mechanism diagrams, statistical figures, graphical abstracts, educational infographics, academic posters and multi-panel layouts. You describe the figure in plain language, paste your data, or upload a rough sketch, and it returns a clean, journal-style illustration.
What separates it from general AI image tools is editability and legibility. Labels, equations and notation stay clean rather than garbled, and figures can be exported as true SVG that you keep editing in Illustrator, Inkscape, Figma or presentation software. The workspace handles the whole lifecycle: generate a figure, edit any figure by instruction, remove backgrounds and upscale details, convert whiteboard sketches into polished illustrations, restyle a rough draft into a chosen academic look, and vectorize existing images. Multiple tabs — Generate Figure, Edit Image, Enhance, Sketch to Figure, Figure Polish and Editable SVG — sit in one interface.
The provider positions PaperClaw against both commissioned illustration (typically $150–$450 per figure with days of turnaround) and fixed-icon libraries, arguing you should start from your own idea, data or sketch. It is explicit that the AI can make mistakes and should be treated as a first draft: you review labels, values and notation, fix anything in-app, and export only after checking. Free credits are available for new users, with subscription tiers above that.
