Create, merge, split, extract text/tables from PDFs, fill forms, add watermarks, and convert to/from other formats. USE WHEN pdf, PDF file, merge PDF, extract tables, fill form, split PDF.
Best use case
Pdf is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Create, merge, split, extract text/tables from PDFs, fill forms, add watermarks, and convert to/from other formats. USE WHEN pdf, PDF file, merge PDF, extract tables, fill form, split PDF.
Teams using Pdf should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/Pdf/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Pdf Compares
| Feature / Agent | Standard Approach | |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Create, merge, split, extract text/tables from PDFs, fill forms, add watermarks, and convert to/from other formats. USE WHEN pdf, PDF file, merge PDF, extract tables, fill form, split PDF.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# PDF Processing Guide
## 🎯 Load Full PAI Context
**Before starting any task with this skill, load complete PAI context:**
`read ~/.claude/PAI/SKILL.md`
This provides access to:
- Complete contact list (Angela, Bunny, Saša, Greg, team members)
- Stack preferences (TypeScript>Python, bun>npm, uv>pip)
- Security rules and repository safety protocols
- Response format requirements (structured emoji format)
- Voice IDs for agent routing (ElevenLabs)
- Personal preferences and operating instructions
## When to Activate This Skill
### Direct PDF Task Triggers
- User wants to **create** a new PDF document
- User wants to **merge**, **combine**, or **concatenate** multiple PDFs
- User wants to **split** or **separate** a PDF into individual pages/sections
- User mentions "**extract text from PDF**", "**PDF text extraction**"
- User mentions "**extract tables from PDF**", "**PDF tables**"
- User wants to "**fill PDF form**", "**PDF form filling**"
- User mentions "**OCR**", "**scanned PDF**", or "**scan to text**"
- User wants to add **watermarks**, **password protection**, or **encryption**
- User wants to **extract images** from a PDF
- User wants to **rotate pages** or manipulate PDF structure
### Contextual Triggers
- User provides a **.pdf file path** for processing
- User mentions form filling automation or batch PDF processing
- User needs to process PDFs programmatically at scale
## 🔀 PDF Workflow Routing
This skill supports multiple PDF processing workflows:
### Creation Workflow
**Trigger:** "create PDF", "generate PDF", "make PDF", "PDF from data"
**Tools:** reportlab (Python)
**Documentation:** Lines 136-181 (SKILL.md)
**Use Cases:**
- Creating new PDFs from scratch
- Generating reports programmatically
- Multi-page documents with text and graphics
- PDF generation from templates or data
### Merge/Split Workflow
**Trigger:** "merge PDFs", "combine PDFs", "split PDF", "separate pages"
**Tools:** pypdf (Python), qpdf (CLI)
**Documentation:** Lines 46-68 (SKILL.md), Lines 199-211 (qpdf)
**Use Cases:**
- Combining multiple PDFs into one document
- Splitting PDFs into individual pages or ranges
- Reorganizing PDF page order
- Extracting specific page ranges
### Text Extraction Workflow
**Trigger:** "extract text", "PDF to text", "read PDF content"
**Tools:** pdfplumber (Python), pdftotext (CLI)
**Documentation:** Lines 95-103 (pdfplumber), Lines 186-196 (pdftotext)
**Use Cases:**
- Extracting text while preserving layout
- Converting PDFs to plain text
- Batch text extraction from multiple PDFs
- Metadata extraction
### Table Extraction Workflow
**Trigger:** "extract tables", "PDF tables", "table data from PDF"
**Tools:** pdfplumber + pandas (Python)
**Documentation:** Lines 106-133 (SKILL.md)
**Use Cases:**
- Extracting structured table data to Excel/CSV
- Financial data extraction from PDF reports
- Converting PDF tables to dataframes
- Multi-table extraction and combination
### Form Filling Workflow
**Trigger:** "fill PDF form", "PDF form filling", "complete PDF form"
**Tools:** pdf-lib (JavaScript) or pypdf (Python)
**Documentation:** forms.md (complete guide)
**Use Cases:**
- Programmatic form completion
- Batch form processing
- Template-based PDF generation
- Form field population from data sources
### OCR Workflow
**Trigger:** "OCR", "scanned PDF", "extract text from scan", "image to text"
**Tools:** pytesseract + pdf2image (Python)
**Documentation:** Lines 227-244 (SKILL.md)
**Use Cases:**
- Extracting text from scanned documents
- Processing image-based PDFs
- Converting scanned forms to editable text
- Legacy document digitization
### Manipulation Workflow
**Trigger:** "watermark", "password protect", "encrypt PDF", "rotate pages", "extract images"
**Tools:** pypdf (Python), pdfimages (CLI)
**Documentation:** Lines 246-288 (SKILL.md)
**Use Cases:**
- Adding watermarks to PDFs
- Password protection and encryption
- Page rotation and transformation
- Image extraction from PDFs
## 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
```python
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
```python
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
```python
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
```python
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
```python
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
```python
import pdfplumber
with pdfplumber.open("document.pdf") as pdf:
for page in pdf.pages:
text = page.extract_text()
print(text)
```
#### Extract Tables
```python
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
```python
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
```python
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
```python
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)
```bash
# 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
```bash
# 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)
```bash
# 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
```python
# 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
```python
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
```bash
# 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
```python
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 |
## Examples
**Example 1: Extract tables from PDF report**
```
User: "Pull the tables out of this quarterly report PDF"
→ Opens PDF with pdfplumber
→ Extracts tables, converts to pandas DataFrame
→ Exports to Excel file with clean formatting
```
**Example 2: Merge multiple PDFs**
```
User: "Combine these three contracts into one PDF"
→ Uses pypdf to read all input files
→ Adds pages sequentially to new writer
→ Saves merged document to output path
```
**Example 3: Fill out a PDF form**
```
User: "Fill in this tax form with my info"
→ Reads forms.md for form-filling workflow
→ Uses pdf-lib to populate form fields
→ Saves completed PDF with flattened form data
```
## 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.mdRelated Skills
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