SciFig is an AI-powered scientific illustration tool that helps researchers create journal-quality figures without design expertise. It accepts six input types including text descriptions, rough sketches, reference images, PDFs, and lab photos, then generates editable, publication-ready figures across 11 scientific disciplines. Every label, arrow, and layer stays editable after generation. Export in PPTX, SVG, or 8K PNG/JPG formats that meet journal submission requirements out of the box.

• Six Input Modes: Type a description, upload a sketch, drop a reference image, paste a lab photo, or feed in a full PDF. SciFig handles all of them in one workflow.
• Fully Editable Output: Click any label to retype it, circle a region to regenerate it, inpaint specific areas, or swap a single element without re-rendering the entire figure.
• Multidisciplinary Scientific Support: SciFig is designed for a broad range of research fields, including biology, chemistry, physics, engineering, computer science, energy, ecology, bioengineering, and astronomy. It is built to handle both life sciences and physical sciences within the same system.
• Journal-Ready Exports: Figures can be exported in multiple publication-ready formats, including editable PPTX, layered SVG for vector editing, and high-resolution PNG or JPG up to 8K. These formats are designed for journals, posters, and presentations.
• GPT Image 2 Integration: Uses GPT Image 2 as the default model for strong chemistry notation, mathematical formula rendering, and long-prompt label accuracy.
• Multiple Figure Types: The system can generate different scientific visual formats such as mechanism diagrams, pathways, experimental workflows, graphical abstracts, annotated concept figures, and system-level diagrams. It adapts structure based on scientific context rather than fixed templates.
• Region-Based Editing and Upscaling: Inpaint specific regions, upscale to 8K resolution, and make targeted corrections without starting over.
• Vector Canvas Control: All figures can be fine-tuned inside a built-in vector editor where shapes, labels, arrows, and layout elements remain fully editable. This eliminates the need for external tools like Illustrator for post-processing.

• Saves Hours of Manual Work: Turns what used to be a full day in Illustrator into a few minutes of AI-assisted generation, especially useful after reviewer feedback.
• Flexible Input Options: Whether you have a rough whiteboard sketch, a text description, or a full PDF, SciFig can work with whatever you have on hand.
• Editable at Every Step: Unlike general AI image generators that bake text into pixels, SciFig keeps labels, arrows, and layers fully editable after generation.
• Broad Discipline Coverage: Supports multiple scientific disciplines including biology, chemistry, physics, engineering, computer science, and related fields.
• Journal-Compliant Formats: Exports directly in formats journals accept (SVG, PPTX, high-res PNG/JPG), removing the extra conversion step before submission.

• Requires Human Review for Accuracy: Like most AI figure generators, outputs may need manual refinement for complex scientific notation or highly specialized diagrams.
• Web-Based Only: Requires a stable internet connection, as all figure generation and editing are cloud-based.

• Post-Review Figure Revisions: A reviewer asks you to restructure a method figure in your paper. Instead of spending hours in Illustrator, paste the reviewer comment into SciFig and regenerate the figure with updated labels and layout in minutes.
• Graphical Abstracts for Journal Submissions: Generate clear, structured visual summaries of research papers by describing your study workflow. The system produces publication-ready graphical abstracts with logical flow and labeled components.
• Whiteboard and Sketch Conversion: Turn rough sketches or whiteboard photos into clean scientific diagrams. SciFig converts informal drawings into structured, editable figures suitable for papers and presentations.
• PDF-to-Figure Conversion: Upload research papers or existing diagrams and regenerate them into clearer, editable scientific figures with improved structure and clarity.
• Chemistry and Biochemistry Mechanism Figures: Create structured scientific illustrations for biology, chemistry, and related fields. The system supports scientific notation and produces publication-ready pathway and mechanism figures.
• Grant Proposal Visuals: Generate professional diagrams for funding applications and research proposals by describing your methodology or system architecture in text form.