SciFig - Free AI-powered scientific figure generator with editable publication-ready output

What Is SciFig?

If you've ever spent an entire afternoon hand-drawing a pathway diagram in PowerPoint, only to realize the arrows are misaligned and the labels are slightly off, you know exactly why researchers lose so much time on figures. And if you've tried using a general AI image tool instead, you've hit the other wall: you type a prompt, get a plausible-looking image, and then discover that one tiny label is wrong — and the only fix is regenerating the whole thing from scratch.

SciFig was built to close that gap. It's a free online AI scientific figure generator that turns any input — a text description, a hand-drawn sketch, a reference image, a PDF paper, or even a lab photo — into an editable, publication-ready scientific figure. The platform cuts figure creation time by up to 10x, offers six AI generation modes, and exports in 4+ formats that keep your work fully editable long after the image is made.

It's also battle-tested: over 100,000 researchers from institutions like Stanford, MIT, UC Berkeley, Yale, Cornell, the University of Cambridge, and UCLA use SciFig for their day-to-day figure work. That's because SciFig operates differently than a general AI image generator. Instead of outputting a flat raster you can't touch, it builds figures on discipline-specific terminology, keeps every label and shape editable as real objects, and exports layered SVG and PowerPoint files — so you never have to redraw a figure to change one word.

The workflow is deliberately simple: generate, enhance, vectorize. You start with any input, refine every detail without starting over, and deliver a file that stays editable for co-authors, students, and reviewers.

Core Capabilities of SciFig

SciFig isn't a one-trick tool. The platform is built around seven creative input paths and six publication styles, but the real value is in what you can do with the output. Here's a closer look at the capabilities that matter most for real research work.

Turn any input into a figure. You can use it to describe a mechanism in plain language and get a clean figure back, upload a hand-drawn sketch and have it converted to a polished diagram, feed a reference image to generate something in a similar spirit, drop in a PDF paper so the model reads its concepts and builds informed figures, or snap a lab photo and convert it to clean vectors. The Text, PDF, and Photo inputs are especially popular — the PDF reader alone saves hours of cross-referencing when you're working from published literature.

Match the style of your target journal. You can use it to generate figures in six publication styles engineered to match the visual language of Nature, Cell, and Science — Scientific, Line, 3D, Editorial, Sketch, and Watercolor — plus an Auto mode that skips style overlays and follows your prompt alone. If you're submitting to a journal with a distinct aesthetic, this saves you from the awkward "does this look like it belongs here?" moment at submission time.

Refine without starting over. You can use it to click any text label and retype it, adjust font, size, or position directly in place, or open the figure in the built-in Canvas for element-level edits. The Figure Enhancer means a typo in one caption no longer costs you a full regeneration.

Take total control with the Vector Canvas. You can use it to open any figure for granular editing — move a shape, recolor a node, reposition a label — with full undo/redo. Every object stays a real, selectable element rather than pixels baked into an image.

Deliver files people can actually edit. You can use it to export layered SVG or editable-shape PPTX, so your co-author, supervisor, or student can move a single element without touching the rest of the figure. No Illustrator or Figma roundtrip needed.

Print at any size. You can use it to one-click upscale any figure to 4K or 8K PNG, which hits 300+ DPI at full-page journal width and works for A0 conference posters and journal cover art.

Who Uses SciFig

SciFig is designed for anyone who makes scientific figures — but the way you use it depends on your field, your output type, and your workflow. Here's how different teams put it to work.

Life sciences researchers use SciFig for signaling pathways, cell structure diagrams, and mechanism illustrations. Instead of rebuilding the same pathway in PowerPoint every time a new paper comes out, they generate the figure, correct a label or two, and ship it. Because every object stays editable, the same base figure can be repurposed across talks, papers, and teaching decks.

Chemistry and materials teams generate reaction schemes, molecular structure diagrams, and instrument schematics — all exportable as editable vectors, which matters when you need to move an atom, resize a flask, or renumber a step. The discipline-specific terminology also keeps structures and labels accurate where a generic image generator would produce plausible-but-wrong chemistry.

Physics and engineering researchers use SciFig for free-body diagrams, electronic circuit schematics, and Bode plots. The Vector Canvas makes it easy to adjust force arrows, reposition circuit nodes, and keep measurements legible at any scale.

Medicine and public health professionals rely on the platform for study flow diagrams, PRISMA flow diagrams, and clinical scientific illustration. These figure types carry enormous regulatory and editorial weight, and the ability to trace every edit matters when a manuscript is under review.

R&D teams and science communicators produce graphical abstracts, journal covers, conference posters, and slide decks. The combination of journal-grade output, 4K/8K upscaling, and editable delivery formats makes it a workhorse for cross-functional teams that need figures in multiple contexts.

Overall, SciFig natively supports 11 disciplines — biology, chemistry, physics, engineering, computer science, energy, ecology, bioengineering, astronomy, agriculture, and materials — and covers 9 high-frequency figure types: mechanisms, workflows, cross-sections, ecosystems, graphical abstracts, journal covers, lab apparatus, microstructures, and systems & networks.

Getting Started with SciFig

If you're wondering how fast you can go from "blank page" to "submission-ready figure," the answer is: faster than you think. Here's the complete flow, from first click to export.

Step 1 — Start with any input. Drop in a plain-language text description of your figure, upload a hand-drawn sketch, attach a reference figure you want to emulate, upload a PDF page from a paper, or snap a lab photo. SciFig accepts all of these and routes them through the right generation path automatically.

Step 2 — Generate a journal-grade draft. Within seconds, you'll get a publication-ready first draft in one of six publication styles — or Auto mode, if you'd rather let the prompt lead. The draft is designed to meet the visual standards of Nature, Cell, and Science, so you're not starting from scratch aesthetically.

Step 3 — Refine without starting over. Click any text label to retype it directly. Open the Vector Canvas for element-level edits. Or attach a PDF as context to inform smarter revisions. Text edits happen in place, and you can upscale to 8K at any point — the figure stays Canvas-ready through every change.

Step 4 — Deliver, still editable. Export to editable PPTX, layered SVG, or high-resolution PNG/JPG. Every shape, label, and color remains editable in the built-in canvas, which means your co-authors can tweak without breaking anything. No Illustrator roundtrip required.

When you're ready to try it, you'll start with 100 free credits — no credit card required — and new users who join through an invite can get up to 300 free credits on day one. That's enough to generate, refine, and export several complete figures before you ever consider upgrading.

You'll also find a full library of free templates to accelerate your work: poster templates in A0, A1, and 36×48 formats, conference posters (print and e-poster), 16 presentation decks, figure templates, and a library of icons — all available as free editable .pptx files.

SciFig's Pricing Plans

SciFig's pricing philosophy is straightforward: try every feature on free credits first, and only pay when you're ready to publish or use figures commercially. There's no credit card gate, no hidden tier-gating on publication, and no complexity around ownership.

The free plan gives you 100 credits on signup (up to 300 on day one via invite) and is designed for non-commercial evaluation — perfect for testing the platform, exploring input modes, and building confidence in the workflow. Just note that free-plan figures can't be used for publication or commercial purposes; you'll need to upgrade for that.

Paid plans start at $12/month (annual billing) or $18/month (monthly billing), and come with two things that matter most to researchers: full publication rights and full commercial rights. That means you can publish in peer-reviewed journals, on preprint servers, and in theses with no tier-gating — and use figures in textbooks, commercial products, courses, and consulting decks with no additional licensing fees and no revenue share. SciFig also claims zero ownership over your work: no usage license, no right to feature your figures.

Here's the comparison at a glance:

For institutions and grants, SciFig provides formal tax-compliant invoices with itemized usage, billed under the line item "scientific visualization software" — which makes purchasing easier if you're spending grant or departmental funds. Three subscription shapes cover most scenarios: individual top-up credits (pay-as-you-go), monthly subscriptions for regular figure makers, and team or institution plans with bulk credits and single-invoice billing.

Frequently Asked Questions