LabFig

LabFig targets a very specific pain point in academic work: producing clean, consistent scientific figures without a design background. Instead of learning vector software or paying a designer, researchers describe a figure in words, drop in a paper, upload a sketch, or take a photo of a whiteboard, and the tool returns a structured draft with panels, labels, and arrows laid out. It supports journal-oriented aesthetics, with styles modelled on Nature, Cell, or IEEE conventions so figures in the same manuscript look like a set.

What sets LabFig apart from generic image generators is the editing layer. Figures are vector-first: text, arrows, shapes, and colours remain editable after generation, and individual regions can be replaced or regenerated with a short prompt through a feature called Vector Canvas. Exports include SVG and PDF alongside PNG, which matters when a submission template expects resizable artwork. There is also a Figure Enhancer path for cleaning up an existing figure's colour and line weights.

The workbench runs in seven modes covering text, image, PDF, sketch, reference, photo, and enhancer inputs, with credits consumed per generation. Pricing is credit-based across Starter, Standard, and Premium tiers, and academic discounts are available for verified students and educators. LabFig is explicit that AI-generated drafts should be reviewed by a scientist before publication, which is a sensible framing for a tool aimed at manuscript work.