plot-from-image

What problem does it solve?

It solves the time-consuming task of manually recreating a publication-quality academic figure when you only have an image of the original.

Core Features & Use Cases

• Aspect-ratio first reproduction: Measures the image’s true proportions (AR) so the output matches the original layout.
• Style matching pipeline: Detects whether the figure matches one of several pre-built chart styles (bars, lines with bands, inset/zoom panels, t-SNE clusters, broken axes, radar charts) and reuses the corresponding parameter set.
• From-scratch reconstruction: When no style matches, it guides font/spine/tick direction, color palette identification, grid style, and special elements to rebuild the figure accurately.
• Iterative matplotlib script workflow: Produces a reproducible Python plotting approach with clear steps for “measure → match → run → visually compare → refine.”

Quick Start

Upload the paper figure image you want to recreate and ask the assistant to reproduce it with Python matplotlib code that matches the original’s style, fonts, colors, and layout.