What problem does it solve?
This Skill automates routine PDF processing tasks such as text and table extraction, document merging, and form handling, reducing manual work and enabling scalable data extraction.
Core Features & Use Cases
- Text extraction: Retrieve raw and structured text from PDFs for indexing and search.
- Table extraction: Detect and export tables for data integration into spreadsheets or databases.
- Form handling: Fill or annotate PDF forms, and merge changes back into finalized documents.
- Document manipulation: Merge, split, rotate, and annotate PDFs to support end-to-end workflows.
- Use Case: Streamline contract processing by extracting key fields, compiling them into a report, and archiving the processed PDFs.
Quick Start
Install the required Python packages (pypdf, pdfplumber, pdf2image, Pillow). Then run a small script to read a PDF, print its page count, and extract text as a starting point.