Manual PDF work is the silent productivity killer for developers. Merging reports, securing sensitive files, or scraping data from PDFs can eat up 5–10 hours weekly. This guide delivers 10 free, battle-tested PDF automation tools (with copy-paste code examples) to turn chaos into code. No fluff – just tools that work.
Keyword: “Merge PDFs Python”
Best For: Basic merging/splitting with minimal code.
from PyPDF2 import PdfMerger merger = PdfMerger() [merger.append(f) for f in ["doc1.pdf", "doc2.pdf"]] # Merge files merger.write("merged.pdf")
Pro Tip: Add a watermark while merging:
from PyPDF2 import PdfReader, PdfWriter writer = PdfWriter() page = PdfReader("invoice.pdf").pages[0] page.merge_page(PdfReader("watermark.pdf").pages[0]) writer.add_page(page) writer.write("watermarked.pdf")
Keyword: “Extract text from PDF Python”
Best For: Scraping unstructured text/tables from messy PDFs.
import pdfplumber with pdfplumber.open("report.pdf") as pdf: first_page = pdf.pages[0] print(first_page.extract_text()) # Raw text print(first_page.extract_table()) # Table data
Use Case: Extract sales figures from scanned invoices for SQL databases.
Keyword: “Batch PDF processing CLI”
Best For: Sysadmins handling large-scale workflows.
# Encrypt all PDFs in a folder find ./invoices -name "*.pdf" -exec pdftk {} output encrypted_{} encrypt_128bit owner_pw MyStrongPassword \;
Why It Shines: Integrate with cron jobs for nightly processing.
Keyword: “PDF table extraction Python”
Best For: Precision scraping of complex tables (e.g., financial reports).
import camelot tables = camelot.read_pdf("financials.pdf", pages="1-3") tables.export("data.csv", f="csv") # Export all tables
Pro Tip: Use lattice
mode for grid-based tables:
tables = camelot.read_pdf("table.pdf", flavor="lattice")
Keyword: “PowerShell PDF generation”
Best For: Windows-based automation.
Add-Type -Path "itextsharp.dll" $doc = New-Object iTextSharp.text.Document $writer = [iTextSharp.text.pdf.PdfWriter]::GetInstance($doc, [System.IO.File]::Create("output.pdf")) $doc.Open() $doc.Add([iTextSharp.text.Paragraph]::new("Hello, PowerShell PDF!")) $doc.Close()
Use Case: Auto-generate server audit reports from Event Viewer logs.
Keyword: “Open-source PDF table extraction”
Best For: Non-coders needing a visual interface.
Steps:
import tabula tabula.convert_into("file.pdf", "output.csv", stream=True)
Keyword: “JavaScript PDF library”
Best For: Web apps needing PDF previews/editing.
// Render PDF in browser const loadingTask = pdfjsLib.getDocument("doc.pdf"); loadingTask.promise.then(pdf => { pdf.getPage(1).then(page => { const viewport = page.getViewport({ scale: 1.5 }); const canvas = document.getElementById("pdf-canvas"); page.render({ canvasContext: canvas.getContext("2d"), viewport }); }); });
Pro Tip: Extract text for search functionality:
page.getTextContent().then(textContent => { console.log(textContent.items.map(item => item.str).join(" ")); });
Keyword: “Java PDF automation library”
Best For: Java-heavy environments (e.g., Android, Spring apps).
// Split PDF into single pages PDDocument document = PDDocument.load(new File("input.pdf")); Splitter splitter = new Splitter(); List<PDDocument> pages = splitter.split(document); pages.get(0).save("page1.pdf"); document.close();
Enterprise Use: Digitize paper-based workflows in banking/healthcare.
Keyword: “C# PDF automation”
Best For: .NET developers needing advanced features.
using Aspose.Pdf; var document = new Document(); var page = document.Pages.Add(); page.Paragraphs.Add(new TextFragment("Hello, C# PDF!")); document.Save("output.pdf");
Bonus: Convert PDFs to Word/Excel with 1 line:
document.Save("output.docx", SaveFormat.DocX);
Keyword: “Generate PDF Python”
Best For: Creating invoices/certificates dynamically.
from reportlab.pdfgen import canvas c = canvas.Canvas("invoice.pdf") c.drawString(100, 750, "Invoice #001") c.drawImage("logo.png", 50, 800, width=100, height=50) c.save()
Pro Tip: Use Platypus for complex layouts:
from reportlab.platypus import SimpleDocTemplate, Paragraph doc = SimpleDocTemplate("report.pdf") story = [Paragraph("Monthly Report"), ...] doc.build(story)
Tool | Language | Strengths | Difficulty |
---|---|---|---|
PyPDF2 | Python | Merging/Splitting | Beginner |
pdfplumber | Python | Text/Table Extraction | Intermediate |
PDFtk Server | CLI | Bulk Processing | Intermediate |
Camelot | Python | Complex Table Extraction | Advanced |
iTextSharp | PowerShell | Windows Automation | Intermediate |
Apache PDFBox | Java | Enterprise Features | Advanced |
Aspose.PDF | C# | .NET Integration | Advanced |
ReportLab | Python | PDF Generation | Intermediate |
PyMuPDF Solution:
import fitz doc = fitz.open("locked.pdf") doc.authenticate("SUPER_SECRET") # Password doc.save("unlocked.pdf")
Yes! Use Tesseract + pdf2image:
from pdf2image import convert_from_path import pytesseract images = convert_from_path("scanned.pdf") text = pytesseract.image_to_string(images[0]) with open("output.txt", "w") as f: f.write(text)
You’re now armed with 10 free tools to:
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