Fig0

Fig0 accepts five input types — text prompts, hand sketches, visual references, PDFs, and photos — and converts them into structured scientific figures on an infinite canvas. The core workflow runs in three stages: generate a publication-aware draft, refine labels and regions without leaving the platform, then export in formats downstream tools can keep editing. The vendor describes the output style as journal-grade from the first draft, targeting the specific visual conventions of scientific publishing rather than general illustration.

The differentiating feature is the export chain. Most AI image tools produce a raster PNG and stop there. Fig0 delivers layered SVG, editable PPTX, vectorized PDF, and high-DPI TIFF from the same figure, so a PI polishing colors in PowerPoint and a journal requiring 600 DPI TIFF for print are both covered by the same export session. Community testimonials on the vendor page specifically call out the editable PPTX as the format that fits lab collaboration workflows — reviewer comments get addressed in the file, not in a new generation run.

Fig0 fits solo researchers and small lab teams running standard manuscript-to-submission workflows. The canvas-based revision loop handles the scenario that breaks generic tools: a figure that needs five rounds of label and layout changes without ever going back to a blank canvas. The tool breaks down for teams that need figures generated programmatically — there is no API, so automated figure pipelines are not possible. It also breaks down for institutions with strict data-residency requirements — there is no self-hosted deployment option, meaning all input material, including PDFs and reference images, passes through Fig0’s servers.