AI/MLofficial

pdf

anthropics/skills · updated Apr 8, 2026

$npx skills add https://github.com/anthropics/skills --skill pdf
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summary

Comprehensive PDF processing with text extraction, merging, splitting, form filling, and OCR capabilities.

  • Supports core operations: merge/split PDFs, extract text and tables, rotate pages, add watermarks, encrypt/decrypt, and extract images
  • Includes Python libraries (pypdf, pdfplumber, reportlab) and command-line tools (qpdf, pdftotext, pdftk) with ready-to-use code examples
  • Handles scanned PDFs via OCR using pytesseract and pdf2image for searchable text extraction
  • Dedicated form
skill.md

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.

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()

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(

Discussion

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general reviews

Ratings

4.653 reviews
  • Shikha Mishra· Dec 28, 2024

    pdf is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Daniel Martin· Dec 28, 2024

    Keeps context tight: pdf is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ganesh Mohane· Dec 24, 2024

    Registry listing for pdf matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Xiao Taylor· Dec 20, 2024

    Solid pick for teams standardizing on skills: pdf is focused, and the summary matches what you get after install.

  • Aisha Harris· Dec 16, 2024

    pdf reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ira Bansal· Dec 16, 2024

    I recommend pdf for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Aditi Thomas· Nov 19, 2024

    We added pdf from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Sakshi Patil· Nov 15, 2024

    pdf reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Meera Srinivasan· Nov 15, 2024

    pdf is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Xiao Martin· Nov 11, 2024

    pdf has been reliable in day-to-day use. Documentation quality is above average for community skills.

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