PDF Processor

PDF Processor

Extract text, tables, and data from PDF files, fill forms, merge documents, and convert formats.

What this Skill does

• Extract text content from PDF pages
• Extract tables and structured data from PDFs
• Fill PDF forms with provided data
• Merge multiple PDF documents into one
• Split large PDFs into smaller documents
• Convert PDF pages to images (PNG, JPEG)
• Search for specific content within PDFs

Requirements

Install required packages:

pip install pypdf pdfplumber PyPDF2

For advanced features (OCR, image conversion):

pip install pdf2image Pillow pytesseract

How to use

Extract text from a PDF

import pdfplumber

with pdfplumber.open("document.pdf") as pdf:
    for page in pdf.pages:
        text = page.extract_text()
        print(text)

Extract tables from a PDF

import pdfplumber

with pdfplumber.open("document.pdf") as pdf:
    for page in pdf.pages:
        tables = page.extract_tables()
        for table in tables:
            print(table)

Merge PDFs

pip install pypdf
python -c "
from pypdf import PdfWriter
writer = PdfWriter()
for pdf_file in ['file1.pdf', 'file2.pdf']:
    with open(pdf_file, 'rb') as f:
        writer.append(f)
with open('merged.pdf', 'wb') as output:
    writer.write(output)
"

Fill PDF forms

pip install pypdf
python scripts/fill_form.py input.pdf filled.pdf

Examples

When to use this Skill:

• "Extract all text from this PDF document"
• "Find specific information in this PDF"
• "Extract tables from this PDF report"
• "Merge these PDF files into one document"
• "Fill out this PDF form with data"
• "Convert PDF pages to images"

Tips

• For scanned PDFs (images), use OCR with pytesseract
• Large PDFs may require splitting for better performance
• Table extraction works best with well-formatted PDFs
• Always handle PDF passwords if documents are encrypted