📚 Process PDFs, Word documents and more with spaCy
Detectron2 for Document Layout Analysis
A layout engine for image generation in JavaScript. Compose images like you write components.
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
Proof of concept of training a simple Region Classifier using PdfPig and ML.NET (LightGBM). The objective is to classify each text block in a pdf document page as either title, text, list, table and image.
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
🚀 Pre-trained YOLO for Document Layout Analysis. Instantly find text 📄, tables 📊, and figures 🖼️. Fast, accurate, and ready to use! ✨
Installable AI harness for Claude Code and Codex that turns document references into maintainable GraphCompose Java templates with deterministic rendering, visual verification, revisions, and document integrity checks.
Better than react-pdf for browser PDF preview and export: DTP-grade layout, real pagination, canvas rendering, SVG output, selectable text, and interaction tooling.
DETR fine-tuned on engineering document layout, converted to CoreML
Enable the line numbering and implement the LayoutVisitor to count rows in a document.
A collection of machine learning apis in fastapi, can be deployed with uvicorn, hypercorn or docker
Obtain document layout elements located under the mouse pointer and show information in the tooltip
Hybrid AI document layout parser: images and PDFs to structured Markdown and rebuilt PDF using PaddleOCR-VL and PP-StructureV3.
Recursive XY-Cut algorithm for spatial reading order and document layout.
Derives reading order for multi-column pages, keeping full-width table rows whole and lifting running heads, folios and footnotes out of the flow
Compare Web and Microsoft Word layouts generated from the same document model.
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