What problem does it solve?
This Skill provides a unified toolkit to automate common PDF tasks, including extracting text and tables, creating new PDFs, merging or splitting documents, and handling forms. It removes repetitive manual work and speeds up document workflows.
Core Features & Use Cases
- Automated text and table extraction from PDFs for data pipelines.
- Create, merge, and split PDFs to orchestrate multi-document workflows.
- Form handling: fillable forms and non-fillable fields, plus annotation-based filling when needed.
- Use Case: Process a batch of invoices by extracting key fields and consolidating results into a CSV.
Quick Start
Install the required Python libraries with pip, then run small examples to read or assemble PDFs. Example usage:
- Read text from a document:
from pypdf import PdfReader; reader = PdfReader('document.pdf'); print(len(reader.pages))
- Merge PDFs:
from pypdf import PdfReader, PdfWriter; writer = PdfWriter();
for f in ['a.pdf','b.pdf']: writer.add_page(PdfReader(f).pages[0]);
with open('merged.pdf','wb') as o: writer.write(o)