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That’s exactly why I built Shapearator: a local-first tool that identifies shapes inside a PNG or SVG sheet, extracts them one by one, and organizes them into separate files with metadata.

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It uses computer vision, CV geometry, and export normalization to detect isolated forms, place them on a shared canvas, and generate structured outputs in formats like PNG, JPG, TIFF, and SVG.