Convert raster images into editable SVG and PowerPoint files.
npx skills add https://github.com/giszzt/figedit --skill figedit
Please help me install this Agent Skill. Skill: figedit Source: https://github.com/giszzt/figedit/tree/main Command: npx skills add https://github.com/giszzt/figedit --skill figedit
This Skill transforms flattened images into editable vector graphics and PowerPoint presentations, allowing users to manipulate, edit, and repurpose images with greater ease.
Use the figedit skill to convert the attached image 'complex-image.png' into an editable SVG file.
High-intent search queries and answers about installing and using this skill.
Convert flattened images into editable SVG files by using image reconstruction to extract text, shapes, and elements into vector graphics. This process transforms raster images into editable elements, allowing you to manipulate and repurpose complex technical diagrams and infographics.
Extract text and shapes from raster images into PowerPoint presentations by performing OCR and image reconstruction. This process retains text, shapes, and images as editable elements within the generated file, making it easier to modify and reuse complex visuals.
Rebuilding flattened technical diagrams and posters into editable graphics packages is the best way to edit them. This approach converts raster images into editable vector graphics and PowerPoint files, allowing you to manipulate text, shapes, and complex continuous backgrounds individually.
You need opencv-python and paddleocr to reconstruct images into vector graphics, along with Pillow, scipy, matplotlib, latex2mathml, and lxml. These dependencies are required to process images, perform OCR, and generate editable SVG and PowerPoint files from complex visual elements.
This image reconstruction approach works with complex continuous backgrounds and source-specific visual elements. It processes technical diagrams, infographics, and posters, converting them into editable SVG and PowerPoint files while retaining text, shapes, and images as distinct editable elements.
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