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.
Assume the skill directory itself is the working directory when running bundled files from this skill.
Quick CLI (legacy doc_utils)
This skill bundles a simple CLI (doc_utils.py ) copied from the older pdf skill, so you can do common PDF operations quickly.
Read PDF → JSON
python3 ./doc_utils.py read path/to/file.pdf
Merge PDFs
python3 ./doc_utils.py merge merged.pdf a.pdf b.pdf
Optional deps install helper (Python-only, no system packages):
bash ./install.sh
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("Page 2", styles['Heading1'])) story.append(Paragraph("Content for page 2", styles['Normal']))
Build PDF
doc.build(story)
Subscripts and Superscripts
IMPORTANT: Never use Unicode subscript/superscript characters directly in ReportLab output. Built-in fonts often miss those glyphs and render black boxes.
Use ReportLab markup in Paragraph objects instead:
from reportlab.platypus import Paragraph from reportlab.lib.styles import getSampleStyleSheet
styles = getSampleStyleSheet()
chemical = Paragraph("H<sub>2</sub>O", styles["Normal"]) squared = Paragraph("x<super>2</super> + y<super>2</super>", styles["Normal"])
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
Next Steps
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For advanced pypdfium2 usage, see REFERENCE.md
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For JavaScript libraries (pdf-lib), see REFERENCE.md
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If you need to fill out a PDF form, follow the instructions in FORMS.md
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For troubleshooting guides, see REFERENCE.md