dokument-pdf

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.