Wand Python (How It Works For Developers)

Introduction

Wand is a powerful and user-friendly Python library that acts as a binding for ImageMagick, a popular image-processing tool. It allows you to perform a wide range of image manipulation tasks with ease, making it a great choice for developers and data scientists to manipulate images. In this article, we will use Wand Python and demonstrate its usage. Also, we will look into IronPDF from IronSoftware and learn about how to use both libraries for image processing and archiving the images into PDFs.

Why Use Wand?

Wand provides a Pythonic interface to ImageMagick, making it easier for Python developers to use. Here are some key reasons to consider using Wand:

1. Comprehensive Image Processing: Wand supports a wide range of image formats and provides numerous functions for image manipulation, including resizing, cropping, rotating, and adding effects.
2. Integration with NumPy: Wand can work seamlessly with NumPy, making it suitable for machine learning and data analysis tasks that involve image data.
3. Cross-Platform Compatibility: Wand works on various operating systems, including Windows, macOS, and Linux.

Getting Started with Wand

Installation

Simply install Wand, you need to have ImageMagick installed on your system. You can install Wand using pip:

pip install Wand

Basic Usage

Here’s a simple example to demonstrate how to use Wand for basic image manipulation:

from wand.image import Image
# Open an image file and initialize image class
with Image(filename='example.jpg') as img:
    print(f'Original size: {img.size}')
    # Resize the image
    img.resize(200, 200)
    img.save(filename='resized_example.jpg')
    print(f'Resized size: {img.size}') # Resized size: 200X200

from wand.image import Image
# Open an image file and initialize image class
with Image(filename='example.jpg') as img:
    print(f'Original size: {img.size}')
    # Resize the image
    img.resize(200, 200)
    img.save(filename='resized_example.jpg')
    print(f'Resized size: {img.size}') # Resized size: 200X200

In this example, Wand opens an image file, prints its original size, resizes it to 200x200 pixels, and saves the resized image.

Advanced Features

Python Wand offers many advanced features for more complex image processing tasks:

1. Image Effects: Apply various effects like blur, sharpen, and emboss.
2. Color Manipulation: Adjust colors, convert to grayscale, and more.
3. Image Transformation: Perform transformations like rotation, scaling, and cropping.
4. Special Effects: Add noise, create polaroid effects, and more.

Example: Applying Effects

Here’s an example of how to apply some effects to an image using Wand:

from wand.image import Image  # import image class
from wand.display import display
# Open an image file
with Image(filename='image.jpg') as img:
    # Apply a blur effect
    img.blur(radius=5, sigma=3) # can also use flip function, circle function etc
    img.save(filename='blurred_image.jpg')
    # Display the image
    display(img)

from wand.image import Image  # import image class
from wand.display import display
# Open an image file
with Image(filename='image.jpg') as img:
    # Apply a blur effect
    img.blur(radius=5, sigma=3) # can also use flip function, circle function etc
    img.save(filename='blurred_image.jpg')
    # Display the image
    display(img)

The above code uses blur function to blur the input image. The below image shows the input and the blurred image.

Output

Introducing IronPDF

IronPDF is a robust Python library designed to handle the creation, editing, and signing of PDF documents using HTML, CSS, images, and JavaScript. It prioritizes performance efficiency and operates with minimal memory usage. Key features include:

• HTML to PDF Conversion: Convert HTML files, HTML strings, and URLs into PDF documents, leveraging capabilities like rendering webpages using the Chrome PDF renderer.
• Cross-Platform Support: Compatible with Python 3+ across Windows, Mac, Linux, and various Cloud Platforms. IronPDF is also accessible for .NET, Java, Python, and Node.js environments.
• Editing and Signing: Customize PDF properties, enforce security measures such as passwords and permissions, and apply digital signatures seamlessly.
• Page Templates and Settings: Tailor PDF layouts with features like headers, footers, page numbers, adjustable margins, custom paper sizes, and responsive designs.
• Standards Compliance: Adheres strictly to PDF standards such as PDF/A and PDF/UA, ensures UTF-8 character encoding compatibility, and adeptly manages assets such as images, CSS stylesheets, and fonts.

Installation

pip install ironpdf 
pip install scikit-image

Generate PDF Documents using IronPDF and Wand.

Prerequisites

1. Make sure Visual Studio Code in installed as code editor
2. Python version 3 is installed
3. Install Imagemagick
4. Make sure environment variable MAGICK_HOME is set to installation path.

To start with, let us create a python file to add our scripts

Open Visual Studio Code and create a file, wandDemo.py.

Install the necessary libraries:

pip install wand
pip install ironpdf

Then add the below python code to demonstrate the usage of IronPDF and Wand python packages

from wand.image import Image  # import image class
from wand.display import display
from ironpdf import * 
# Apply your license key
License.LicenseKey = "key"
# Open an image file
with Image(filename='image.jpg') as img:
    # Apply a blur effect
    img.blur(radius=5, sigma=3)
    img.save(filename='blurred_image.jpg')
    # Display the image
    display(img)
    img.savefig('ironPdf-wand.png')
    ImageToPdfConverter.ImageToPdf("ironPdf-wand.png").SaveAs("ironPdf-wand.pdf")

from wand.image import Image  # import image class
from wand.display import display
from ironpdf import * 
# Apply your license key
License.LicenseKey = "key"
# Open an image file
with Image(filename='image.jpg') as img:
    # Apply a blur effect
    img.blur(radius=5, sigma=3)
    img.save(filename='blurred_image.jpg')
    # Display the image
    display(img)
    img.savefig('ironPdf-wand.png')
    ImageToPdfConverter.ImageToPdf("ironPdf-wand.png").SaveAs("ironPdf-wand.pdf")

Code Explanation

This Python script demonstrates image processing and PDF generation using the `Wand` and `IronPDF` libraries:

1. This script first applies a blur effect to an image (`image.jpg`) using `Wand`
2. Saves the resulting blurred image, displays it,
3. Saves it again as a PNG file (`ironPdf-wand.png`), and
4. Then converts this PNG image to a PDF (`ironPdf-wand.pdf`) using IronPDF.

It showcases integration between image processing and PDF generation libraries in Python.

Output PDF

IronPDF License

IronPDF license key to allow users to check out its extensive features before purchase.

Place the License Key at the start of the script before using IronPDF package:

from ironpdf import * 
# Apply your license key
License.LicenseKey = "key"

from ironpdf import * 
# Apply your license key
License.LicenseKey = "key"

Conclusion

Wand is a versatile and powerful library for image processing in Python. Its integration with ImageMagick and NumPy makes it a valuable tool for developers and data scientists. Whether you need to perform simple image manipulations or complex transformations, Wand provides the functionality you need in a Python and easy-to-use package.

IronPDF is a Python library designed for creating, manipulating, and converting PDF documents programmatically. It offers features such as generating PDFs from various sources (like images and HTML), merging PDFs, adding security features, and more. IronPDF is versatile, supports cross-platform development, and integrates well with Python applications, making it a robust tool for handling PDF-related tasks efficiently.

Together, these libraries can be used for image processing and storing results in standard PDF format for archiving purposes.