Processes PDF files by extracting text and tables, merging, splitting, rotating, watermarking, creating documents, filling forms, encrypting or decrypting, extracting images, and running OCR. Used when a task involves reading, editing, creating, or validating a .pdf file.
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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.
Environment and validation
The Python examples were exercised with pypdf 6.19.0, pdfplumber 0.11.10, pypdfium2 5.13.0, ReportLab 5.0.1, and pdf2image 1.17.0 on synthetic PDFs. Install only what the task needs; for example:
uv pip install 'pypdf[crypto]==6.19.0' pdfplumber==0.11.10 reportlab==5.0.1 pdf2image==1.17.0 pillow
# Optional table-to-Excel and OCR examples:
uv pip install pandas openpyxl pytesseract
Preserve the source PDF and write a separate result. Reopen results, check page counts and extracted values, then render every changed page to inspect clipping, fonts, form values, and placement. Text extraction is not visual validation. For research tables, retain page provenance and check units, decimal separators, minus signs, and merged cells against the page before analyzing the data.
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() or "") + "\n"
Python Libraries
pypdf - Basic Operations
Merge PDFs
from pypdf import PdfWriter, PdfReader
writer = PdfWriter()
for pdf_file in ["doc1.pdf", "doc2.pdf", "doc3.pdf"]:
writer.append(pdf_file)
with open("merged.pdf", "wb") as output:
writer.write(output)
Use append to preserve document/form structure. When merging forms with
colliding field names, first namespace each reader with reader.add_form_topname("source1").
Split PDF
from pypdf import PdfReader, PdfWriter
reader = PdfReader("input.pdf")
for i, page in enumerate(reader.pages):
writer = PdfWriter()
writer.append(reader, pages=[i])
with open(f"page_{i+1}.pdf", "wb") as output:
writer.write(output)
Extract Metadata
from pypdf import PdfReader
reader = PdfReader("document.pdf")
meta = reader.metadata
if meta is not None:
print(meta.title, meta.author, meta.subject, meta.creator)
Rotate Pages
from pypdf import PdfReader, PdfWriter
writer = PdfWriter(clone_from="input.pdf")
writer.pages[0].rotate(90) # Rotate 90 degrees clockwise
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(layout=True)
print(text)
Extract Tables
import pdfplumber
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 pdfplumber
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 only tables verified to have the same schema and units
if all_tables:
combined_df = pd.concat(all_tables, ignore_index=True)
combined_df.to_excel("extracted_tables.xlsx", index=False, engine="openpyxl")
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
The built-in fonts do not cover all Unicode subscript/superscript glyphs. Use Paragraph markup below, or embed a font with verified glyph coverage and inspect the rendered result.
Instead, use ReportLab's XML markup tags in Paragraph objects:
from reportlab.platypus import Paragraph
from reportlab.lib.styles import getSampleStyleSheet
styles = getSampleStyleSheet()
# 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'])
For canvas-drawn text (not Paragraph objects), manually adjust the font size and position rather than using Unicode subscripts/superscripts.
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
These qpdf and PDFtk commands were checked against official manuals; their native executables were unavailable for this review, so these are illustrative commands.
# 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 cat 1east 2-end output rotated.pdf # Requires at least 2 pages
Common Tasks
Extract Text from Scanned PDFs
Install the native tools as well as the Python packages: pdf2image requires
Poppler (pdftoppm/pdftocairo), and pytesseract requires the Tesseract
executable plus language data for the document. Python package installation alone
does not provide these dependencies. For long PDFs, render bounded page ranges
or use an output directory to avoid holding every page image in RAM. Check a
representative page for reading order, symbols, and numeric accuracy before
using OCR text as research data. See the pdf2image installation guide
and pytesseract prerequisites.
# Requires: uv pip install pytesseract pdf2image
import pytesseract
from pdf2image import convert_from_path, pdfinfo_from_path
text = ""
count = pdfinfo_from_path('scanned.pdf', timeout=60)['Pages']
for number in range(1, count + 1):
image = convert_from_path('scanned.pdf', first_page=number, last_page=number,
dpi=200, timeout=120)[0]
try:
text += f"Page {number}:\n" + pytesseract.image_to_string(image, lang='eng', timeout=60) + "\n\n"
finally:
image.close()
print(text)
The OCR example returns text. To create a searchable PDF, Tesseract also exposes
pytesseract.image_to_pdf_or_hocr(image, extension="pdf"); inspect OCR quality and
merge the resulting page PDFs with pypdf. Rendering loses original vector/form structure.
Add Watermark
from pypdf import PdfReader, PdfWriter
# Create watermark (or load existing)
watermark = PdfReader("watermark.pdf").pages[0]
# Apply to all pages
writer = PdfWriter(clone_from="document.pdf")
for page in writer.pages:
page.transfer_rotation_to_content()
page.merge_page(watermark) # Assumes watermark coordinates match the page size
with open("watermarked.pdf", "wb") as output:
writer.write(output)
Extract Images
# Using pdfimages (poppler-utils)
pdfimages -j input.pdf output_prefix
# JPEG images stay JPEG; other image types may be emitted as PBM/PPM.
# Use -all to preserve supported native image encodings, not for vector figures.
Password Protection
from pypdf import PdfReader, PdfWriter
writer = PdfWriter(clone_from="input.pdf")
# Use task-provided passwords; requires pypdf[crypto]. Omitting algorithm uses RC4.
writer.encrypt("userpassword", "ownerpassword", algorithm="AES-256")
with open("encrypted.pdf", "wb") as output:
writer.write(output)
Form routing
Follow forms.md: inspect for AcroForms first, extract field IDs and all widget locations, validate values, fill, then reopen and render affected pages. XFA, signatures, and pushbuttons require specialized handling. Static forms use structure-derived or visually measured boxes followed by coordinate checks. The FreeText helper supports unrotated zero-origin pages with matching page boxes; its annotations depend on viewer support and are not flattened content. Use a ReportLab overlay when fixed page content is required, and visually verify it.
Quick Reference
| Task | Best Tool | Command/Code |
|---|---|---|
| Merge PDFs | pypdf | writer.append(path) |
| 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 |
Upstream references
Reviewed official pypdf forms, encryption, pdfplumber, ReportLab, qpdf, and PDFtk.
Next Steps
- For advanced pypdfium2 usage, see reference.md
- For JavaScript libraries (pdf-lib), see reference.md
- If you need to fill out a PDF form, follow the instructions in forms.md
- For troubleshooting guides, see reference.md
This skill is created and maintained by Anthropic. Adapted here with frontmatter metadata, lowercase reference.md/forms.md links, and local workflow clarifications; see LICENSE.txt for terms.
Files
12- LICENSE.txt
79f6d8f5b41.4 KB - SKILL.md
a7d808c3ae11.8 KB - forms.md
6fbd58687415.3 KB - reference.md
f60f22176819.4 KB - scripts/check_bounding_boxes.py
13128c8eb43.7 KB - scripts/check_fillable_fields.py
5bf89f669a782 B - scripts/convert_pdf_to_images.py
de4d467b4f1.2 KB - scripts/create_validation_image.py
cd8dc8f9be1.7 KB - scripts/extract_form_field_info.py
db252f85253.9 KB - scripts/extract_form_structure.py
78082748083.9 KB - scripts/fill_fillable_fields.py
4355157cec4.8 KB - scripts/fill_pdf_form_with_annotations.py
904a62704e4.4 KB
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