adu-pdf-extraction

To extract structured data from construction PDF binders, this skill processes multi-page documents using a rolling window of parallel subagents. It outputs agent-consumable page PNGs, structured markdown, and a JSON manifest for routing and review.

Yes, this PDF parsing tool utilizes a hybrid text extraction approach combining Vision and Tesseract OCR. This ensures accurate data capture from construction plans, creating structured markdown outputs for permit review or corrections response.

The best way to process multi-page construction plans in parallel is using a rolling window of subagents. This approach handles each page individually, splitting the PDF binder to generate structured markdown and a JSON routing manifest.

To set up construction PDF parsing, you must install dependencies like pypdf2, ImageMagick, and pytesseract. You then run the 'extract-pages.sh' script to create output directories, split PDFs, and assemble extraction manifests.

Yes, you can use this tool to prepare construction plans for permit review and corrections response. It converts contractor or homeowner PDF binders into structured formats that AI agents can efficiently navigate and analyze.

While Tesseract OCR provides hybrid text extraction for construction plan PDFs, limitations may arise with highly complex architectural graphics. The tool mitigates this by pairing OCR with Vision analysis to output structured markdown and page PNGs.