What problem does it solve?
This Skill streamlines the end-to-end handling of PDF documents by enabling automated extraction of text and tables, creation of new PDFs, merging/splitting, and form digitization without manual scripting.
Core Features & Use Cases
- Automated Text and Table Extraction: Pull text and structured table data from PDFs for ingestion into analytics workflows.
- PDF Creation and Manipulation: Generate new PDFs, merge or split documents, rotate pages, and apply basic transformations.
- Form Digitization and Filling: Programmatically fill both fillable and non-fillable PDF forms, convert user inputs into annotations or field updates, and validate results for streamlined document workflows.
- Use Case: You have 100 invoices in PDF; you can automatically extract invoice numbers, totals, and dates, or fill standardized forms across all documents for archiving.
Quick Start
To begin, install the required Python packages and run the sample workflow:
- Install dependencies: pip install pypdf pdf2image Pillow
- Extract form field info: python scripts/extract_form_field_info.py sample.pdf fields.json
- Fill fields into a PDF: python scripts/fill_fillable_fields.py sample.pdf fields.json filled.pdf
- Create a validation image for page 1: python scripts/create_validation_image.py 1 fields.json sample_page1.png