Claude Code Plugins

Community-maintained marketplace

Feedback

Comprehensive PDF toolkit for reading, extracting, creating, and modifying PDF documents. Extract text/tables, convert PDF to text, merge/combine/split PDFs, fill forms, add watermarks, rotate pages, handle passwords, OCR scanned documents. Use for complex PDF tasks, batch processing, or programmatic manipulation when you need to read, parse, combine, or get data from PDFs at scale.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name process-pdfs
description Comprehensive PDF toolkit for reading, extracting, creating, and modifying PDF documents. Extract text/tables, convert PDF to text, merge/combine/split PDFs, fill forms, add watermarks, rotate pages, handle passwords, OCR scanned documents. Use for complex PDF tasks, batch processing, or programmatic manipulation when you need to read, parse, combine, or get data from PDFs at scale.
allowed-tools Read, Write, Bash, mcp__ide__executeCode
license Proprietary. LICENSE.txt has complete terms

PDF Processing Guide

Overview

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see reference.md. If you need to fill out a PDF form, read forms.md and follow its instructions.

Setup

Python Dependencies

Install required libraries:

# Core libraries
pip install pypdf pdfplumber reportlab

# For OCR (scanned PDFs)
pip install pytesseract pdf2image

# For data export
pip install pandas openpyxl

Command-Line Tools

macOS (using Homebrew):

brew install poppler qpdf tesseract

Linux (Debian/Ubuntu):

sudo apt-get install poppler-utils qpdf tesseract-ocr

Working Directory

When using scripts from the scripts/ directory, run them from the skill directory:

cd /Users/markayers/.claude/skills/process-pdfs
python scripts/script_name.py

Or use absolute paths when referencing scripts.

Quick Start

from pypdf import PdfReader, PdfWriter

# Read a PDF
reader = PdfReader("document.pdf")
print(f"Pages: {len(reader.pages)}")

# Extract text
text = ""
for page in reader.pages:
    text += page.extract_text()

Check for Encryption First

Always check if a PDF is password-protected before processing:

from pypdf import PdfReader

reader = PdfReader("document.pdf")

if reader.is_encrypted:
    print("PDF is encrypted")
    # Try to decrypt with password
    if reader.decrypt("password"):
        print("Successfully decrypted")
    else:
        print("Failed to decrypt - wrong password")
        # Option 1: Ask user for password
        # Option 2: Use qpdf to remove password (if you have it)
        # qpdf --password=yourpassword --decrypt encrypted.pdf decrypted.pdf
else:
    print("PDF is not encrypted - proceed with processing")

For batch processing, skip or report encrypted files:

import os
from pypdf import PdfReader

for filename in os.listdir("pdfs/"):
    if filename.endswith(".pdf"):
        try:
            reader = PdfReader(f"pdfs/{filename}")
            if reader.is_encrypted:
                print(f"SKIP: {filename} - encrypted")
                continue
            # Process the PDF...
        except Exception as e:
            print(f"ERROR: {filename} - {e}")

Python Libraries

pypdf - Basic Operations

Merge PDFs

from pypdf import PdfWriter, PdfReader

writer = PdfWriter()
for pdf_file in ["doc1.pdf", "doc2.pdf", "doc3.pdf"]:
    reader = PdfReader(pdf_file)
    for page in reader.pages:
        writer.add_page(page)

with open("merged.pdf", "wb") as output:
    writer.write(output)

Split PDF

reader = PdfReader("input.pdf")
for i, page in enumerate(reader.pages):
    writer = PdfWriter()
    writer.add_page(page)
    with open(f"page_{i+1}.pdf", "wb") as output:
        writer.write(output)

Extract Metadata

reader = PdfReader("document.pdf")
meta = reader.metadata
print(f"Title: {meta.title}")
print(f"Author: {meta.author}")
print(f"Subject: {meta.subject}")
print(f"Creator: {meta.creator}")

Rotate Pages

reader = PdfReader("input.pdf")
writer = PdfWriter()

page = reader.pages[0]
page.rotate(90)  # Rotate 90 degrees clockwise
writer.add_page(page)

with open("rotated.pdf", "wb") as output:
    writer.write(output)

pdfplumber - Text and Table Extraction

Extract Text with Layout

import pdfplumber

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

Extract Tables

with pdfplumber.open("document.pdf") as pdf:
    for i, page in enumerate(pdf.pages):
        tables = page.extract_tables()
        for j, table in enumerate(tables):
            print(f"Table {j+1} on page {i+1}:")
            for row in table:
                print(row)

Advanced Table Extraction

import pandas as pd

with pdfplumber.open("document.pdf") as pdf:
    all_tables = []
    for page in pdf.pages:
        tables = page.extract_tables()
        for table in tables:
            if table:  # Check if table is not empty
                df = pd.DataFrame(table[1:], columns=table[0])
                all_tables.append(df)

# Combine all tables
if all_tables:
    combined_df = pd.concat(all_tables, ignore_index=True)
    combined_df.to_excel("extracted_tables.xlsx", index=False)

reportlab - Create PDFs

Basic PDF Creation

from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas

c = canvas.Canvas("hello.pdf", pagesize=letter)
width, height = letter

# Add text
c.drawString(100, height - 100, "Hello World!")
c.drawString(100, height - 120, "This is a PDF created with reportlab")

# Add a line
c.line(100, height - 140, 400, height - 140)

# Save
c.save()

Create PDF with Multiple Pages

from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak
from reportlab.lib.styles import getSampleStyleSheet

doc = SimpleDocTemplate("report.pdf", pagesize=letter)
styles = getSampleStyleSheet()
story = []

# Add content
title = Paragraph("Report Title", styles['Title'])
story.append(title)
story.append(Spacer(1, 12))

body = Paragraph("This is the body of the report. " * 20, styles['Normal'])
story.append(body)
story.append(PageBreak())

# Page 2
story.append(Paragraph("Page 2", styles['Heading1']))
story.append(Paragraph("Content for page 2", styles['Normal']))

# Build PDF
doc.build(story)

Command-Line Tools

pdftotext (poppler-utils)

# Extract text
pdftotext input.pdf output.txt

# Extract text preserving layout
pdftotext -layout input.pdf output.txt

# Extract specific pages
pdftotext -f 1 -l 5 input.pdf output.txt  # Pages 1-5

qpdf

# Merge PDFs
qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf

# Split pages
qpdf input.pdf --pages . 1-5 -- pages1-5.pdf
qpdf input.pdf --pages . 6-10 -- pages6-10.pdf

# Rotate pages
qpdf input.pdf output.pdf --rotate=+90:1  # Rotate page 1 by 90 degrees

# Remove password
qpdf --password=mypassword --decrypt encrypted.pdf decrypted.pdf

pdftk (if available)

# Merge
pdftk file1.pdf file2.pdf cat output merged.pdf

# Split
pdftk input.pdf burst

# Rotate
pdftk input.pdf rotate 1east output rotated.pdf

Common Tasks

Extract Text from Scanned PDFs

# Requires: pip install pytesseract pdf2image
import pytesseract
from pdf2image import convert_from_path

# Convert PDF to images
images = convert_from_path('scanned.pdf')

# OCR each page
text = ""
for i, image in enumerate(images):
    text += f"Page {i+1}:\n"
    text += pytesseract.image_to_string(image)
    text += "\n\n"

print(text)

Add Watermark

from pypdf import PdfReader, PdfWriter

# Create watermark (or load existing)
watermark = PdfReader("watermark.pdf").pages[0]

# Apply to all pages
reader = PdfReader("document.pdf")
writer = PdfWriter()

for page in reader.pages:
    page.merge_page(watermark)
    writer.add_page(page)

with open("watermarked.pdf", "wb") as output:
    writer.write(output)

Extract Images

# Using pdfimages (poppler-utils)
pdfimages -j input.pdf output_prefix

# This extracts all images as output_prefix-000.jpg, output_prefix-001.jpg, etc.

Password Protection

from pypdf import PdfReader, PdfWriter

reader = PdfReader("input.pdf")
writer = PdfWriter()

for page in reader.pages:
    writer.add_page(page)

# Add password
writer.encrypt("userpassword", "ownerpassword")

with open("encrypted.pdf", "wb") as output:
    writer.write(output)

Quick Reference

Task Best Tool Command/Code
Merge PDFs pypdf writer.add_page(page)
Split PDFs pypdf One page per file
Extract text pdfplumber page.extract_text()
Extract tables pdfplumber page.extract_tables()
Create PDFs reportlab Canvas or Platypus
Command line merge qpdf qpdf --empty --pages ...
OCR scanned PDFs pytesseract Convert to image first
Fill PDF forms pdf-lib or pypdf (see forms.md) See forms.md

Troubleshooting

Corrupted or Invalid PDFs

Symptom: Errors like "EOF marker not found", "Invalid PDF structure", or "Cannot read PDF"

Solution: Use qpdf to repair the PDF first:

qpdf --check input.pdf  # Check for errors
qpdf input.pdf repaired.pdf  # Attempt repair

If qpdf can't repair it, try:

gs -o repaired.pdf -sDEVICE=pdfwrite -dPDFSETTINGS=/prepress input.pdf

Missing Dependencies

Symptom: ModuleNotFoundError or command not found

Python libraries:

pip install pypdf pdfplumber reportlab pytesseract pdf2image pandas

Command-line tools (macOS):

brew install poppler qpdf tesseract

Command-line tools (Linux):

sudo apt-get install poppler-utils qpdf tesseract-ocr

Memory Issues with Large PDFs

Symptom: Process killed, memory errors, or system slowdown when processing PDFs >100 pages

Solution: Process in chunks:

from pypdf import PdfReader, PdfWriter

reader = PdfReader("large.pdf")
chunk_size = 50  # Process 50 pages at a time

for i in range(0, len(reader.pages), chunk_size):
    writer = PdfWriter()
    for page_num in range(i, min(i + chunk_size, len(reader.pages))):
        writer.add_page(reader.pages[page_num])

    with open(f"chunk_{i//chunk_size + 1}.pdf", "wb") as output:
        writer.write(output)

Or extract text page-by-page:

with pdfplumber.open("large.pdf") as pdf:
    for i, page in enumerate(pdf.pages):
        text = page.extract_text()
        # Process or save immediately
        with open(f"page_{i+1}.txt", "w") as f:
            f.write(text)

Permission Errors

Symptom: "PermissionError" or "Access denied"

Causes:

  1. PDF is password-protected (see "Check for Encryption First" section)
  2. File is open in another application (close it)
  3. Insufficient file system permissions

Solution:

# Check file permissions
ls -la file.pdf

# Make readable
chmod 644 file.pdf

Text Extraction Returns Empty or Garbled Text

Symptom: extract_text() returns empty string or gibberish

Causes:

  1. PDF is scanned (image-based) - use OCR
  2. PDF uses non-standard fonts or encoding
  3. Text is embedded as images

Solution for scanned PDFs:

# Use pytesseract for OCR (see "Extract Text from Scanned PDFs" section)
from pdf2image import convert_from_path
import pytesseract

images = convert_from_path('scanned.pdf')
text = pytesseract.image_to_string(images[0])

Solution for non-standard encoding: Try pdfplumber instead of pypdf:

import pdfplumber

with pdfplumber.open("document.pdf") as pdf:
    text = pdf.pages[0].extract_text()

Or use command-line tool:

pdftotext -layout document.pdf output.txt

Next Steps