FigEditor is an innovative AI tool designed to transform research concepts, initial sketches, references, and existing graphics into refined, editable illustrations suitable for academic papers, posters, and presentations. Users can begin by providing a descriptive text prompt about a mechanism, pathway, workflow, experiment, or architectural design, and they also have the option to upload a rough drawing or a reference image to inform aspects such as composition, color scheme, density, and visual organization. The platform generates a well-structured draft that includes clear labels, arrows, and an orderly layout, allowing researchers to modify text, shapes, colors, connectors, modules, and specific areas without needing to recreate the entire figure from scratch. Additionally, previously created PNG or JPG images can be converted into vector formats, enabling further manipulation. The process employed by FigEditor involves a comprehensive multi-step pipeline that not only generates an initial draft but also identifies visual components, extracts clean assets, constructs a cohesive SVG, and finalizes the vector output through refinement. This systematic approach ensures that users have a versatile tool at their disposal for producing high-quality scientific illustrations that enhance their presentations. Overall, FigEditor streamlines the creation of scientific visuals, making the process more efficient and accessible for researchers.