Skill v1.0.0

currentAutomated scan100/100

microck/ordinary-claude-skills/pdf-processing

──Details

PublishedJuly 20, 2026 at 11:35 AM

Content Hashsha256:1bbb21910cec7e31...

Git SHA1056d293d41a

──Files

Files (1 file, 3.1 KB)

SKILL.md3.1 KBactive

SKILL.md · 151 lines · 3.1 KB

version: "1.0.0" name: PDF Processing description: Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.

PDF Processing

Quick start

Use pdfplumber to extract text from PDFs:

python

import pdfplumber
with pdfplumber.open("document.pdf") as pdf:
    text = pdf.pages[0].extract_text()
    print(text)

Extracting tables

Extract tables from PDFs with automatic detection:

python

import pdfplumber
with pdfplumber.open("report.pdf") as pdf:
    page = pdf.pages[0]
    tables = page.extract_tables()
    for table in tables:
        for row in table:
            print(row)

Extracting all pages

Process multi-page documents efficiently:

python

import pdfplumber
with pdfplumber.open("document.pdf") as pdf:
    full_text = ""
    for page in pdf.pages:
        full_text += page.extract_text() + "\n\n"
    print(full_text)

Form filling

For PDF form filling, see FORMS.md for the complete guide including field analysis and validation.

Merging PDFs

Combine multiple PDF files:

python

from pypdf import PdfMerger
merger = PdfMerger()
for pdf in ["file1.pdf", "file2.pdf", "file3.pdf"]:
    merger.append(pdf)
merger.write("merged.pdf")
merger.close()

Splitting PDFs

Extract specific pages or ranges:

python

from pypdf import PdfReader, PdfWriter
reader = PdfReader("input.pdf")
writer = PdfWriter()
# Extract pages 2-5
for page_num in range(1, 5):
    writer.add_page(reader.pages[page_num])
with open("output.pdf", "wb") as output:
    writer.write(output)

Available packages

pdfplumber - Text and table extraction (recommended)
pypdf - PDF manipulation, merging, splitting
pdf2image - Convert PDFs to images (requires poppler)
pytesseract - OCR for scanned PDFs (requires tesseract)

Common patterns

Extract and save text:

python

import pdfplumber
with pdfplumber.open("input.pdf") as pdf:
    text = "\n\n".join(page.extract_text() for page in pdf.pages)
with open("output.txt", "w") as f:
    f.write(text)

Extract tables to CSV:

python

import pdfplumber
import csv
with pdfplumber.open("tables.pdf") as pdf:
    tables = pdf.pages[0].extract_tables()
    with open("output.csv", "w", newline="") as f:
        writer = csv.writer(f)
        for table in tables:
            writer.writerows(table)

Error handling

Handle common PDF issues:

python

import pdfplumber
try:
    with pdfplumber.open("document.pdf") as pdf:
        if len(pdf.pages) == 0:
            print("PDF has no pages")
        else:
            text = pdf.pages[0].extract_text()
            if text is None or text.strip() == "":
                print("Page contains no extractable text (might be scanned)")
            else:
                print(text)
except Exception as e:
    print(f"Error processing PDF: {e}")

Performance tips

Process pages in batches for large PDFs
Use multiprocessing for multiple files
Extract only needed pages rather than entire document
Close PDF objects after use

All versions