From whiteboard sketch
to clean scientific figure.

From napkin to publication-grade figure, in minutes.

• Paper, Whiteboard, Napkin: Any hand-drawn sketch works. Photograph it, upload, and SciFig sketch to figure converts it into a publication-ready scientific figure.
• No Tablet, No Illustrator: Zero drawing tablet. Zero Pen-tool-in-Illustrator learning curve. If you can sketch stick figures, you can use SciFig.
• Labeled, Layered, Editable: Not a traced scan — a clean figure with correct labels, aligned arrows, and journal-style typography. Every element can be individually edited.

Yes. We interpret intent, not line quality.

• Messy Lines Are Fine: Crooked circles, shaky arrows, misaligned boxes — SciFig reads the structure you meant, not the strokes you drew.
• Stick-Figure Level Works: Researchers tell us they spent 10 hours learning Illustrator before discovering SciFig handles 3-minute bus-stop sketches just as well.
• Scientific Context Aware: Draw a rough signaling cascade — SciFig infers which blobs are kinases, which arrows are activation vs inhibition, and labels accordingly.

Tracing keeps the mess. SciFig sketch to figure rebuilds clean.

• Rebuild, Don't Trace: Illustrator's Image Trace preserves your wobbly lines. SciFig generates new, clean vector shapes with consistent weights and journal-grade typography.
• 10 Hours → 3 Minutes: Researchers told us they spent days learning Illustrator before finding SciFig. Same output, 100× less time investment.
• Organized Layers, Not Flat SVG: Output comes with named, grouped layers — not one flat layer of spaghetti paths.

Yes. Two ways — canvas or conversation.

• Click-to-Edit Canvas: Open the result in Vector Canvas to adjust text, colors, and layout directly. For element-level vector edits — moving individual strokes, re-styling arrows, recoloring shapes independently — run Vectorize to convert the figure into a layered SVG where every shape is a separately selectable object.
• Multi-Round AI Refinement: Type "make the PAM site bigger and change the arrow from green to red" — SciFig updates the figure without you touching anything.

Anything with a clear spatial story.

• Ideal Candidates: Mechanism diagrams, experimental workflows, signaling pathways, cell structures, equipment setups, flowcharts — anything where "which shape connects to which" is the point.
• Distinctness Beats Neatness: Three obviously-different blobs beat three identical crisp circles. Make each component visually distinct, even if crude.
• Add Labels by Hand: Scribble "Kinase A" next to one blob and "PAM" next to another. SciFig reads handwritten labels and renders them as clean text.

Yes. Drawing + description is our secret weapon.

• Both Inputs Together: Upload the sketch and add "this is a CRISPR delivery mechanism, add PAM site labels" — SciFig sketch to figure uses both to produce a far more accurate figure than either alone.
• Sketch Gives Structure, Text Gives Meaning: Your drawing handles layout. Your words handle terminology. Combined, SciFig nails both.

Yes. Handwritten labels in any script → clean rendered text.

• Multilingual Handwriting Recognition: Scribble labels in your working language — for example, `récepteur` in French — and SciFig renders them as properly typeset text in the output.
• Bilingual Workflow: Generate the figure in your working language for the lab meeting, one-click swap to English for journal submission — same figure, no rebuild.
• Mixed Labels Supported: English terms, non-English terms, and Greek letters can coexist in a single figure.

Every format your sketch-to-figure output needs for paper, deck, or poster.

• Direct Exports: PNG (recommended for journal submission), JPG (smaller files for sharing or email), and PPTX (a 16:9 PowerPoint slide with the figure embedded — drop straight into a deck).
• Vectorize for Layered Editing: Open the result in Vector Canvas and run Vectorize. One pass produces clean SVG (opens in Illustrator, Inkscape, Figma, or Affinity) plus an editable-shape PPTX where every element is a separately selectable PowerPoint object.
• Resolution: PNG/JPG up to 8K — clears 300 DPI at standard journal column widths.

Yes. Your napkin doodles and whiteboard snaps stay yours.

• Never Training Data: Your hand-drawn diagrams aren't used to train our models — even when they capture brilliant early-stage ideas you haven't published yet.
• Draft-Safe: Whiteboard photos often hold unpublished hypotheses, thesis outlines, or conference-prep sketches. Same encryption-and-zero-training guarantee as any other upload.
• Yours to Delete: Delete an uploaded sketch at any time and the stored file is removed from our storage. Figures you generated from it move to Trash and are permanently deleted after 30 days.