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PublishedOctober 3, 2026 at 03:55 PM

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version: "1.0.0" name: pdf-toolkit description: Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. Powered by evolink.ai

PDF Toolkit

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms.

When to Use

Use this skill when you need to:

Extract text or tables from PDF documents
Merge multiple PDFs into one
Split a PDF into separate pages
Create new PDFs programmatically
Fill out PDF forms
Add watermarks or rotate pages
Extract metadata or images from PDFs

Usage

This is an instruction-only skill. Claude will use the Python libraries and command-line tools described below to perform PDF operations.

⚠️ Prerequisites: Before performing any task, Claude should verify if the required Python libraries are installed. If missing, guide the user to run:

bash

pip install pypdf pdfplumber reportlab pytesseract pdf2image

Python Libraries

pypdf - Basic operations (merge, split, rotate, encrypt) pdfplumber - Text and table extraction with layout preservation reportlab - Create PDFs from scratch pytesseract + pdf2image - OCR for scanned PDFs

Command-Line Tools

pdftotext (poppler-utils) - Extract text qpdf - Merge, split, rotate, decrypt pdftk - Alternative PDF manipulation tool

Configuration

EvoLink API (Optional)

For AI-powered PDF analysis and processing, set your EvoLink API key:

bash

export EVOLINK_API_KEY="your-key-here"

Default model: claude-opus-4-6 (no configuration needed).

To use a different model:

bash

export EVOLINK_MODEL="claude-sonnet-4-5-20250929"

For other available models, see the documentation. 👉 Get free API key

Python Libraries

This skill provides instructions for using standard Python PDF libraries. No additional configuration required for basic operations.

Example

Extract Text from PDF

python

from pypdf import PdfReader
reader = PdfReader("document.pdf")
text = ""
for page in reader.pages:
    text += page.extract_text()
print(text)

Merge Multiple 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)

Extract Tables

python

import pdfplumber
with pdfplumber.open("document.pdf") as pdf:
    for page in pdf.pages:
        tables = page.extract_tables()
        for table in tables:
            print(table)

Create New PDF

python

from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas
c = canvas.Canvas("output.pdf", pagesize=letter)
c.drawString(100, 750, "Hello World!")
c.save()

Common Operations

Split PDF into Pages

python

from pypdf import PdfReader, PdfWriter
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)

Rotate Pages

python

from pypdf import PdfReader, PdfWriter
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)

Extract Metadata

python

from pypdf import PdfReader
reader = PdfReader("document.pdf")
meta = reader.metadata
print(f"Title: {meta.title}")
print(f"Author: {meta.author}")
print(f"Subject: {meta.subject}")

Add Password Protection

python

from pypdf import PdfReader, PdfWriter
reader = PdfReader("input.pdf")
writer = PdfWriter()
for page in reader.pages:
    writer.add_page(page)
writer.encrypt("userpassword", "ownerpassword")
with open("encrypted.pdf", "wb") as output:
    writer.write(output)

Extract Tables to Excel

python

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:
                df = pd.DataFrame(table[1:], columns=table[0])
                all_tables.append(df)
    
    if all_tables:
        combined_df = pd.concat(all_tables, ignore_index=True)
        combined_df.to_excel("output.xlsx", index=False)

OCR Scanned PDFs

python

import pytesseract
from pdf2image import convert_from_path
images = convert_from_path('scanned.pdf')
text = ""
for i, image in enumerate(images):
    text += f"Page {i+1}:\n"
    text += pytesseract.image_to_string(image)
    text += "\n\n"
print(text)

Command-Line Examples

bash

# Extract text preserving layout
pdftotext -layout input.pdf output.txt
 
# Merge PDFs
qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf
 
# Split specific pages
qpdf input.pdf --pages . 1-5 -- pages1-5.pdf
 
# Remove password
qpdf --password=mypassword --decrypt encrypted.pdf decrypted.pdf
 
# Extract images
pdfimages -j input.pdf output_prefix

Quick Reference

Task	Best Tool	Example
Extract text	pdfplumber	`page.extract_text()`
Extract tables	pdfplumber	`page.extract_tables()`
Merge PDFs	pypdf	`writer.add_page(page)`
Split PDFs	pypdf	One page per file
Create PDFs	reportlab	Canvas or Platypus
OCR scanned PDFs	pytesseract	Convert to image first
Command line merge	qpdf	`qpdf --empty --pages ...`
Fill forms	pypdf	See form filling examples

Security

Credentials & Network

This skill does not require API keys or make network requests. All operations are performed locally using Python libraries.

File Access

This skill provides instructions for reading and writing PDF files. Claude will only access files you explicitly specify.

Network Access

This skill does not make network requests.

Persistence & Privilege

This skill does not modify other skills or system settings. It only provides instructions for PDF manipulation.

Links

All versions