What problem does it solve?
Many workflows require manual, repetitive work with PDF files—extracting text and tables, filling forms, merging documents, running OCR on scans, or applying page-level edits—which is slow, error-prone, and hard to scale. This guide brings structured, repeatable procedures and tool recommendations to automate those tasks and reduce manual effort.
Core Features & Use Cases
- Automated text and table extraction from digital and scanned PDFs with OCR fallback.
- Programmatic merging, splitting, rotating, watermarking, encrypting/decrypting, and page manipulation.
- Fillable and non-fillable form handling with coordinate-based annotation and field validation procedures.
- Image and figure extraction, metadata inspection, and creation of new PDFs from templates or code.
- Use case: Convert a batch of scanned student assignments into searchable text, extract grades and comments into a spreadsheet, and produce watermarked archives for reporting.
Quick Start
Tell the assistant to extract all text, tables, and form data from the uploaded document.pdf and return a CSV of structured data plus a plain-text transcript.
