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PDF Processing

PDF Processing

github.com/davila7Documents33.0k246 installsUpdated 1d ago
Repository

About PDF Processing

PDF Processing is a skill for developers handling PDF files. It covers text and table extraction, forms, merging, splitting, image conversion and OCR using Python packages.

Key features

  1. 01Extract text across pages
  2. 02Detect and extract tables
  3. 03Fill and validate forms
  4. 04Merge and split PDFs
  5. 05Convert pages to images and OCR

Use cases

  1. 01Extract report text for downstream processing
  2. 02Export PDF tables to CSV
  3. 03Combine or divide PDF documents
  4. 04Process scanned pages with OCR

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/davila7/claude-code-templates --skill pdf-processing

After installing, type/pdf-processingin Claude Code to confirm it loaded.

Bundled filesFORMS.md

Details

From the project README

PDF Processing

Quick start

Use pdfplumber to extract text from PDFs:

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:

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:

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:

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:

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:

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:

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:

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

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