Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see reference/advanced.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions.
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()
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)
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)
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}")
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)
import pdfplumber
with pdfplumber.open("document.pdf") as pdf:
for page in pdf.pages:
text = page.extract_text()
print(text)
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)
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)
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()
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)
ReportLab's built-in fonts (Helvetica, Courier) cannot render most Unicode characters — box-drawing (┌─┐│), arrows (→←), dashes (—–), smart quotes (''""), block elements (█▓), and subscript/superscript digits (₀¹²³) all render as solid black boxes.
Two-track solution:
You MUST maintain two separate normalizer functions — one for body text (replaces Unicode) and one for code blocks (preserves Unicode). Using the wrong one causes either black boxes or degraded ASCII art.
For the full Unicode replacement map, font registration code, and normalizer implementations, see reference/unicode-and-fonts.md.
Subscripts/Superscripts: Never use Unicode sub/superscript characters. Use ReportLab's XML tags instead:
# Subscripts: use <sub> tag
chemical = Paragraph("H<sub>2</sub>O", styles['Normal'])
# Superscripts: use <super> tag
squared = Paragraph("x<super>2</super> + y<super>2</super>", styles['Normal'])
Apply these defaults to ALL generated PDFs for consistent, professional output:
| Setting | Value | Notes |
|---|---|---|
| Page size | US Letter (8.5" × 11") | letter from reportlab.lib.pagesizes |
| Margins | 1" (72pt) all sides | Or 0.75" (54pt) for dense content |
| Body font | Helvetica, 10–11pt | leading = font size × 1.2 |
| H1 | Helvetica-Bold, 18pt | spaceBefore=20, spaceAfter=10 |
| H2 | Helvetica-Bold, 14pt | spaceBefore=16, spaceAfter=8 |
| H3 | Helvetica-Bold, 12pt | spaceBefore=12, spaceAfter=6 |
| Code font | Menlo/Courier, 8–9pt | See reference/unicode-and-fonts.md |
| Body text color | #333333 (dark gray) | Avoid pure black — easier on eyes |
| Heading color | #111827 (near-black) | Slightly darker than body |
| Separator lines | 0.5pt, #D1D5DB | Subtle, not distracting |
| Link color | #1565C0 (blue) | Consistent with cross-references |
from reportlab.lib.colors import HexColor
# Professional color palette
COLORS = {
"body_text": HexColor("#333333"),
"heading": HexColor("#111827"),
"separator": HexColor("#D1D5DB"),
"link": HexColor("#1565C0"),
"code_bg": HexColor("#F3F4F6"),
"code_text": HexColor("#1F2937"),
"table_header_bg": HexColor("#E5E7EB"),
"table_alt_row": HexColor("#F9FAFB"),
"table_grid": HexColor("#D1D5DB"),
}
Use the right rendering approach based on content type:
| Content | Approach | When |
|---|---|---|
| ASCII art / box-drawing | canvas.beginText() + Courier | Preserve spatial alignment |
| Simple flowchart (≤5 nodes) | ReportLab Drawing + shapes | Native vector, no deps |
| Complex diagram (>5 nodes) | Mermaid → SVG → svglib | Scalable vector |
| Data charts (pie/bar/line) | reportlab.graphics.charts | Native vector |
| Architecture diagrams | diagrams library → PNG | Cloud/infra diagrams |
| Custom plots | Matplotlib → PNG/SVG | Scientific/custom |
Critical: Never use Paragraph for ASCII art or box-drawing diagrams — it reflows text and destroys alignment. Use canvas.beginText() with Courier font and setCharSpace(0).
For complete code patterns, decision tree, and examples, see reference/diagrams-and-charts.md.
Add styled callout boxes (note, warning, tip, callout) to highlight important information in generated PDFs. Each style has a distinct background color, border, and icon. See reference/diagrams-and-charts.md for the create_annotation() function and ANNOTATION_STYLES palette.
# 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
# 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
# Merge
pdftk file1.pdf file2.pdf cat output merged.pdf
# Split
pdftk input.pdf burst
# Rotate
pdftk input.pdf rotate 1east output rotated.pdf
# 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)
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)
# Using pdfimages (poppler-utils)
pdfimages -j input.pdf output_prefix
# This extracts all images as output_prefix-000.jpg, output_prefix-001.jpg, etc.
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)
| 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 |
| Diagrams & charts | reportlab.graphics | Shapes, Drawing, charts |
| Mermaid diagrams | mermaid-cli + svglib | mmdc → SVG → embed |
| ASCII art in PDF | canvas.beginText() | Courier + setCharSpace(0) |
| 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 |
reference/advanced.mdreference/unicode-and-fonts.mdreference/diagrams-and-charts.mdreference/cross-references.mdreference/markdown-to-pdf.mdreference/adobe-internal.md