Hi everyone, I m building ScholarViz. We re solving one painful workflow: turning research ideas into publication-ready figures without spending hours across multiple design tools. Current flow: generate with AI -> mask edit -> replace text -> decompose into editable layers -> export PNG/PPT. I d love your feedback: which step in your figure workflow is still the biggest bottleneck?
Many AI image tools generate fast, but editing is painful. In ScholarViz, we decompose generated scientific figures into editable text/object/background layers so users can move, restyle, and fix details precisely. Would this be useful in your workflow (papers, posters, slides)? What s the #1 layer operation you need most?
ScholarViz is an AI workspace for publication-ready scientific figures. Generate graphical abstracts and figure assets, then refine with mask edits, text replacement, and editable layers. Export clean PNG or PPT for papers, posters, and slides.
