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?
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?
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.
