JadeLiu-tech

Convert static images (slides, posters, infographics) to editable PowerPoint files. Pipeline: OCR detects text → classical CV textmask detects ink pixels → mask-clip ANDs with OCR bboxes (preserves illustrations) → LAMA inpaints clean background → python-pptx assembles editable text boxes with auto-scaled fonts and detected colors. Trigger on 'convert image to pptx', 'make slide editable', 'image to powerpoint', 'extract text from slide as editable', 'reconstruct slide', or when the user has a slide/poster image and wants an editable .pptx file.

Extract individual assets from images (slides, posters, infographics, diagrams) as transparent PNGs with a JSON manifest. Zero ML models, pure classical CV (PIL+numpy). Automatically segments, classifies (text, illustration, icon, graphic, line, dot, diagram, shadow, element), and crops each element with anti-aliased alpha transparency. Supports type filtering (--types/--exclude-types) and pre-computed region extraction (--regions) for bridging with visual grounding models. Trigger on 'extract assets from image', 'decompose slide into elements', 'get all icons from poster', 'extract illustrations', 'segment and crop', 'pull out individual elements', or when the user has an image and wants individual transparent PNGs of each element.