Python용 IronPDF와 PyPDF의 비교

Features

PyPDF is a Python PDF library capable of the following features:

• Read PDF Files: Extract text, images, and metadata from existing PDF files.
• Write PDF Files: Create new PDFs from scratch or modify existing ones with text and images.
• Merge PDF Files: Combine multiple PDF files into a single document.
• Split PDF Files: Divide a PDF into separate files, each containing one or more pages.
• Rotate and Overlay Pages: Rotate pages and add watermarks or overlays to PDFs.
• Encrypting and Decrypting PDF Files: Add security to PDFs by encrypting and decrypting them.
• Extracting Text: Get plain text from PDFs or specific regions within a page.
• Extracting Images: Retrieve images embedded within PDFs.
• Manipulate PDF Files: Copy, delete, or rearrange pages within a PDF file.
• Form Field Filling: Populate form fields in PDFs programmatically.

Features

Here are some prominent features of IronPDF:

• PDF Generation: IronPDF allows developers to create PDF documents from scratch or convert HTML content into PDF format, making it easy to generate dynamic and visually appealing reports and documents.
• Advanced Text and Image Manipulation: Developers can easily manipulate text and images within PDF files. IronPDF offers functionalities to add, edit, and format text, as well as insert, resize, and position images with precision.
• PDF Merging and PDF Splitting: IronPDF enables merging multiple PDF files into a single document and splitting a PDF into multiple separate files, providing flexibility in managing PDF content.
• PDF Form Support: With IronPDF, developers can work with PDF forms, allowing them to fill form fields, extract form data, and create interactive PDFs.
• PDF Security and Encryption: IronPDF offers features to add password protection and encryption to PDF documents, ensuring data security and confidentiality.
• PDF Annotations: Developers can add annotations such as comments, highlights, and bookmarks to enhance collaboration and readability within PDFs.
• Header and Footer: IronPDF allows the addition of headers and footers to PDF pages, providing branding and context to the document.
• Barcode Generation: IronPDF facilitates generating various types of barcodes and QR codes directly into PDF documents using HTML.
• High Performance: Built on top of IronPDF's .NET library, IronPDF provides high performance and efficiency in handling large PDF files and complex operations.

The article now goes as follows:

1. Create a Python Project
2. PyPDF Installation
3. IronPDF Installation
4. Creating PDF Documents
5. Merging PDF Files
6. Splitting PDF Files
7. Extracting Text from PDF Files
8. Licensing
9. Conclusion

2.1. Using Command Prompt

1. Open the Command Prompt or terminal on your computer.

2. To install PyPDF, use the following pip command:

   pip install pypdf

   pip install pypdf

   SHELL
3. Wait for the PyPDF installation to complete. You should see a success message indicating that PyPDF has been installed.

You can use the same process to install PyPDF in the PyCharm Terminal.

Note: Python must be added to the System PATH Environment variable.

2.2. Using PyCharm

1. Open PyCharm IDE.
2. Create a new Python project or open an existing one.
3. Once inside the project, click on File in the top menu and select Settings.
4. In the settings window, navigate to "Project:" and click on "Python Interpreter."

5. In the Python Interpreter window, click on the "+" icon to add a new package.

   

6. In the "Available Packages" window, search for "PyPDF."

   

7. Select "PyPDF" from the list and click on the "Install Package" button.
8. Wait for PyCharm to download and install PyPDF.

Pre-requisite

IronPDF for Python leverages the powerful .NET 6.0 technology as its foundation. Consequently, to utilize IronPDF for Python effectively, it is essential to have the .NET 6.0 runtime installed on your system. Linux and Mac users may need to download and install .NET from the official Microsoft website (https://dotnet.microsoft.com/en-us/download/dotnet/6.0) before proceeding to work with this Python package. Ensuring the presence of the .NET 6.0 runtime will enable seamless integration and optimal performance when using IronPDF for Python for PDF processing tasks.

3.1. Using Command Prompt

1. Open the Command Prompt or terminal on your computer.

2. To install IronPDF, use the following pip command:

   pip install ironpdf

   pip install ironpdf

   SHELL
3. Wait for the installation to complete. You should see a success message indicating that IronPDF has been installed.

3.2. Using PyCharm

1. Open PyCharm IDE on your computer.
2. Create a new Python project or open an existing one.
3. Once inside the project, click on "File" in the top menu and select "Settings".
4. In the settings window, navigate to "Project:" and click on "Python Interpreter."
5. In the Python Interpreter window, click on the "+" icon to add a new package.

6. From the "Available Packages" window, search for "ironpdf."

   

7. Select "ironpdf" from the list and click on the "Install Package" button.
8. Wait for IronPDF to download and install. A success message will appear that IronPDF is installed.

Now, both the libraries are installed and ready to use. Let's move to the comparison itself.

4.1. Using PyPDF

PyPDF provides basic capabilities to create new PDF files. However, it does not have a built-in method for directly converting HTML content to PDF. To create a new PDF using PyPDF, we need to add content to an existing PDF or create a new blank PDF and then add text or images to it. The following code helps to achieve this task of creating PDF files:

from pypdf import PdfWriter, PdfReader

# Create a new PDF file
pdf_output = PdfWriter()

# Add a new blank page
page = pdf_output.add_blank_page(width=610, height=842)  # Width and height are in points (1 inch = 72 points)

# Read content from an existing PDF
with open('input.pdf', 'rb') as existing_pdf:
    existing_pdf_reader = PdfReader(existing_pdf)
    # Merge content from the first page of the existing PDF
    page.merge_page(existing_pdf_reader.pages[0])

# Save the new PDF to a file
with open('output.pdf', 'wb') as output_file:
    pdf_output.write(output_file)

from pypdf import PdfWriter, PdfReader

# Create a new PDF file
pdf_output = PdfWriter()

# Add a new blank page
page = pdf_output.add_blank_page(width=610, height=842)  # Width and height are in points (1 inch = 72 points)

# Read content from an existing PDF
with open('input.pdf', 'rb') as existing_pdf:
    existing_pdf_reader = PdfReader(existing_pdf)
    # Merge content from the first page of the existing PDF
    page.merge_page(existing_pdf_reader.pages[0])

# Save the new PDF to a file
with open('output.pdf', 'wb') as output_file:
    pdf_output.write(output_file)

The input file contains 28 pages and only the first page is added to the new PDF file. The output is as follows:

4.2. Using IronPDF

IronPDF offers advanced capabilities to create new PDF files directly from HTML content. This makes it convenient for generating dynamic reports and documents without the need for additional steps. Here is the sample code:

import ironpdf

# Set IronPDF license key to unlock full features
ironpdf.License.LicenseKey = "YOUR-LICENSE-KEY-HERE"

# Create a PDF from an HTML string using Python
renderer = ironpdf.ChromePdfRenderer()
pdf = renderer.RenderHtmlAsPdf("<h1>Hello World</h1><p>This PDF is created using IronPDF for Python</p>")

# Export to a file or stream
pdf.SaveAs("output.pdf")

# Advanced Example with HTML Assets
# Load external html assets Images, CSS, and JavaScript.
# An optional BasePath 'C:\site\assets\' is set as the file location to load assets from
myAdvancedPdf = renderer.RenderHtmlAsPdf("<img src='icons/iron.png'>", "C:\\site\\assets")
myAdvancedPdf.SaveAs("html-with-assets.pdf")

import ironpdf

# Set IronPDF license key to unlock full features
ironpdf.License.LicenseKey = "YOUR-LICENSE-KEY-HERE"

# Create a PDF from an HTML string using Python
renderer = ironpdf.ChromePdfRenderer()
pdf = renderer.RenderHtmlAsPdf("<h1>Hello World</h1><p>This PDF is created using IronPDF for Python</p>")

# Export to a file or stream
pdf.SaveAs("output.pdf")

# Advanced Example with HTML Assets
# Load external html assets Images, CSS, and JavaScript.
# An optional BasePath 'C:\site\assets\' is set as the file location to load assets from
myAdvancedPdf = renderer.RenderHtmlAsPdf("<img src='icons/iron.png'>", "C:\\site\\assets")
myAdvancedPdf.SaveAs("html-with-assets.pdf")

In the above code, we first applied the license key to utilize IronPDF's full power. You can also use it without a license key, but watermarks will appear in created PDF files. Then, we create two PDF documents, first using an HTML string as the content and second using assets. The output is as follows:

5.1. Using PyPDF

PyPDF allows merging multiple pages/documents into a single PDF by appending pages from one PDF to another. Add the input paths of all the PDF files in the list and use the append method to merge and generate a single file.

from pypdf import PdfWriter

merger = PdfWriter()

for pdf in ["file1.pdf", "file2.pdf", "file3.pdf"]:
    merger.append(pdf)

merger.write("merged-pdf.pdf")
merger.close()

from pypdf import PdfWriter

merger = PdfWriter()

for pdf in ["file1.pdf", "file2.pdf", "file3.pdf"]:
    merger.append(pdf)

merger.write("merged-pdf.pdf")
merger.close()

5.2. Using IronPDF

IronPDF also provides similar capabilities for merging documents into one, making it easy to consolidate content from different PDF sources.

import ironpdf

ironpdf.License.LicenseKey = "YOUR-LICENSE-KEY-HERE"

html_a = """<p> [PDF_A] </p>
            <p> [PDF_A] 1st Page </p>
            <div style='page-break-after: always;'></div>
            <p> [PDF_A] 2nd Page</p>"""

html_b = """<p> [PDF_B] </p>
            <p> [PDF_B] 1st Page </p>
            <div style='page-break-after: always;'></div>
            <p> [PDF_B] 2nd Page</p>"""

renderer = ironpdf.ChromePdfRenderer()

pdfdoc_a = renderer.RenderHtmlAsPdf(html_a)
pdfdoc_b = renderer.RenderHtmlAsPdf(html_b)
merged = ironpdf.PdfDocument.Merge([pdfdoc_a, pdfdoc_b])

merged.SaveAs("Merged.pdf")

import ironpdf

ironpdf.License.LicenseKey = "YOUR-LICENSE-KEY-HERE"

html_a = """<p> [PDF_A] </p>
            <p> [PDF_A] 1st Page </p>
            <div style='page-break-after: always;'></div>
            <p> [PDF_A] 2nd Page</p>"""

html_b = """<p> [PDF_B] </p>
            <p> [PDF_B] 1st Page </p>
            <div style='page-break-after: always;'></div>
            <p> [PDF_B] 2nd Page</p>"""

renderer = ironpdf.ChromePdfRenderer()

pdfdoc_a = renderer.RenderHtmlAsPdf(html_a)
pdfdoc_b = renderer.RenderHtmlAsPdf(html_b)
merged = ironpdf.PdfDocument.Merge([pdfdoc_a, pdfdoc_b])

merged.SaveAs("Merged.pdf")

6.1. Using PyPDF

PyPDF is a Python library capable of splitting a single PDF into multiple separate PDFs, each containing one or more PDF pages.

from pypdf import PdfReader, PdfWriter

# Open the PDF file
pdf_file = open('input.pdf', 'rb')

# Create a PdfFileReader object
pdf_reader = PdfReader(pdf_file)

# Split each page into separate PDFs
for page_num in range(len(pdf_reader.pages)):
    pdf_writer = PdfWriter()
    pdf_writer.add_page(pdf_reader.pages[page_num])
    output_filename = f'page_{page_num + 1}_pypdf.pdf'
    with open(output_filename, 'wb') as output_file:
        pdf_writer.write(output_file)

# Close the PDF file
pdf_file.close()

from pypdf import PdfReader, PdfWriter

# Open the PDF file
pdf_file = open('input.pdf', 'rb')

# Create a PdfFileReader object
pdf_reader = PdfReader(pdf_file)

# Split each page into separate PDFs
for page_num in range(len(pdf_reader.pages)):
    pdf_writer = PdfWriter()
    pdf_writer.add_page(pdf_reader.pages[page_num])
    output_filename = f'page_{page_num + 1}_pypdf.pdf'
    with open(output_filename, 'wb') as output_file:
        pdf_writer.write(output_file)

# Close the PDF file
pdf_file.close()

The above code splits the 28-page PDF document to separate it into single pages and save them as 28 new PDF files.

6.2. Using IronPDF

IronPDF also provides similar capabilities for splitting PDFs, allowing users to divide a single PDF into several PDF files, each having a single PDF page. It allows us to split a specific page from a PDF with multiple pages. The following code helps to split documents into multiple files:

import ironpdf

ironpdf.License.LicenseKey = "YOUR-LICENSE-KEY-HERE"

html = """<p> Hello Iron </p>
            <p> This is 1st Page </p>
            <div style='page-break-after: always;'></div>
            <p> This is 2nd Page</p>
            <div style='page-break-after: always;'></div>
            <p> This is 3rd Page</p>"""

renderer = ironpdf.ChromePdfRenderer()
pdf = renderer.RenderHtmlAsPdf(html)

# take the first page
page1doc = pdf.CopyPage(0)
page1doc.SaveAs("Split1.pdf")

# take the pages 2 & 3
page23doc = pdf.CopyPages(1, 2)
page23doc.SaveAs("Split2.pdf")

import ironpdf

ironpdf.License.LicenseKey = "YOUR-LICENSE-KEY-HERE"

html = """<p> Hello Iron </p>
            <p> This is 1st Page </p>
            <div style='page-break-after: always;'></div>
            <p> This is 2nd Page</p>
            <div style='page-break-after: always;'></div>
            <p> This is 3rd Page</p>"""

renderer = ironpdf.ChromePdfRenderer()
pdf = renderer.RenderHtmlAsPdf(html)

# take the first page
page1doc = pdf.CopyPage(0)
page1doc.SaveAs("Split1.pdf")

# take the pages 2 & 3
page23doc = pdf.CopyPages(1, 2)
page23doc.SaveAs("Split2.pdf")

For more detailed information on IronPDF about reading PDF files, rotating PDF pages, cropping pages, setting owner/user passwords, and other security options, please visit this IronPDF for Python code examples page.

7.1. Using PyPDF

PyPDF provides a straightforward method to extract text from PDFs. It offers the PdfReader class, which allows users to read the text content from the PDF.

from pypdf import PdfReader

reader = PdfReader("input.pdf")
page = reader.pages[0]
print(page.extract_text())

from pypdf import PdfReader

reader = PdfReader("input.pdf")
page = reader.pages[0]
print(page.extract_text())

7.2. Using IronPDF

IronPDF also supports extracting text from PDFs using the PdfDocument class. It provides a method called ExtractAllText to get the text content from the PDF. However, the free version of IronPDF only extracts a few characters from the PDF document. To extract the full text from PDFs, IronPDF needs to be licensed. Here is the code sample to extract content from PDF files:

import ironpdf

ironpdf.License.LicenseKey = "YOUR-LICENSE-KEY-HERE"

# Load existing PDF document
pdf = ironpdf.PdfDocument.FromFile("input.pdf")
# Extract text from PDF document
all_text = pdf.ExtractAllText()
print(all_text)

import ironpdf

ironpdf.License.LicenseKey = "YOUR-LICENSE-KEY-HERE"

# Load existing PDF document
pdf = ironpdf.PdfDocument.FromFile("input.pdf")
# Extract text from PDF document
all_text = pdf.ExtractAllText()
print(all_text)

To learn more about extracting text, please visit this PDF Text to Python example.

PyPDF

PyPDF is distributed under the MIT License, which is an open-source software license known for its permissive terms. The MIT License allows users to freely use, modify, distribute, and sublicense the PyPDF library without any restrictions. Users are not required to disclose the source code of their applications that use PyPDF, making it suitable for both personal and commercial projects.

The complete text of the MIT License is usually included in the PyPDF source code, and users can find it in the "LICENSE" file within the library's distribution. Additionally, the PyPDF GitHub repository (https://github.com/py-pdf/pypdf) serves as the primary source for accessing the latest version of the library and its associated licensing information.

IronPDF

IronPDF is a commercial library and is not open-source. It is developed and distributed by Iron Software. The usage of IronPDF requires a valid license from Iron Software. There are different types of licenses available, including trial versions for evaluation purposes and paid licenses for commercial use.

As IronPDF is a commercial product, it offers additional features and technical support compared to open-source alternatives. To obtain a license for IronPDF, users can visit the official website to explore available licensing options, pricing, and support details. Its Lite package starts from NVIDIA_64_LICENSE and is a perpetual license.

Summary

PyPDF is a powerful and user-friendly Python library for working with PDF files. Its features for reading, writing, merging, and splitting PDFs make it an essential tool for PDF manipulation tasks. Whether you need to extract text from a PDF, create new PDFs from scratch, or merge and split existing documents, PyPDF provides a reliable and efficient solution. By leveraging PyPDF's capabilities, Python developers can streamline their PDF-related workflows and enhance their productivity.

IronPDF is a comprehensive and efficient PDF manipulation library for Python, providing a wide range of features for reading, creating, merging, and splitting PDF files. Whether you need to generate dynamic PDF reports, extract document information from existing PDFs, or merge multiple documents, IronPDF offers a reliable and easy-to-use solution. By leveraging the capabilities of IronPDF, Python developers can streamline their PDF-related workflows and enhance their productivity.

In overall comparison, PyPDF is a lightweight and easy-to-use library suitable for basic PDF operations. It is a good choice for projects with simple PDF requirements. On the other hand, IronPDF provides a more extensive API and robust performance, making it ideal for projects that demand advanced PDF processing capabilities, handling large PDF files, and performing complex tasks.

Conclusion

Both libraries have good coding facilities for common PDF tasks. PyPDF is suitable for simple operations and quick implementations, while IronPDF provides a more extensive and versatile API for handling complex PDF-related tasks.

In terms of performance, IronPDF is likely to outperform PyPDF, especially when dealing with substantial PDF files or tasks requiring complex PDF manipulations.

The choice between the two libraries depends on the specific needs of the project and the complexity of the PDF-related tasks involved.

IronPDF is also available for a free trial to test out its complete functionality in commercial mode. Download IronPDF for Python from here.