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Convert Text to Handwriting with Python pywhatkit Library

Updated on Apr 14,2025

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Do you need to convert plain text into realistic handwriting fonts for your projects? Whether it's for a digital invitation, a unique presentation, or simply to add a personal touch to your digital documents, converting text to handwriting can make a significant impact. With Python and the pywhatkit library, this task becomes incredibly simple and efficient. This comprehensive guide will walk you through the process, step by step, using the pywhatkit library and OpenCV to save the output as a PNG image.

Key Points

Introduction to the pywhatkit library for Python.

Detailed steps on how to install required libraries.

Explanation of how to convert text to a handwriting font using Python.

Instructions on how to save the handwriting font as a PNG image.

Utilizing OpenCV for image manipulation and display.

Creating a Python script to automate the text-to-handwriting conversion.

Getting Started with Text-to-Handwriting Conversion

What is the pywhatkit Library?

The pywhatkit library is a versatile Python module designed to simplify various tasks such as sending WhatsApp messages, performing Google searches, and, most importantly, converting text to handwriting. It provides a straightforward interface to generate realistic handwriting fonts from any given text. Combined with OpenCV, an open-source computer vision library, you can display and manipulate the generated Handwriting images easily. Using this combination, you can transform your digital text into a handwritten style, enhancing the aesthetic appeal and personal touch of your documents.

The primary goal is to convert any sort of text or STRING into handwriting Font in Python.

Installing Required Libraries

Before diving into the coding part, it's essential to install the necessary libraries. You’ll need both pywhatkit and OpenCV. Here's how to install them using pip, the Python Package installer:

  1. Install OpenCV: Open your command Prompt or terminal and type the following command:

    pip install opencv-python

    This command installs OpenCV, which is used to display the generated handwriting image. OpenCV is an open-source computer vision library.

  2. Install pywhatkit: In the same command prompt or terminal, type:

    pip install pywhatkit

    This command installs the pywhatkit library, which is the core tool for converting text to handwriting. The pywhatkit library simplifies the process and offers additional functionalities beyond just handwriting conversion.

Make sure that you have correctly installed both of these libraries before proceeding with the coding.

Creating the Python Script

Setting Up Your Project

To begin, create a new directory for your project. This will help in organizing your files and dependencies. Follow these steps:

  1. Create a Project Directory: Open your command prompt or terminal and navigate to your desired location. Create a new directory using the command:

    mkdir handwriting
cd handwriting

    This creates a directory named handwriting and navigates into it.

  2. Open the Directory in VS Code: Launch Visual Studio Code (or your preferred code editor) and open the newly created directory. This can be done by typing code . in the command prompt within the project directory.

  3. Create a Python File: Inside the project directory, create a new Python file named app.py. This file will contain the script for converting text to handwriting.

Writing the Code

Now, let's write the Python code to convert text to a handwriting font and save it as a PNG image. Here’s the complete script:

import pywhatkit as kit
import cv2

text_to_convert = "John Williamson Latham is a New Zealand Cricketer and it plays well"

kit.text_to_handwriting(text_to_convert, save_to="sample.png")

img = cv2.imread("sample.png")
cv2.imshow("Text to Handwriting", img)
cv2.waitKey(0)
cv2.destroyAllWindows()

Let’s break down each part of this script:

  1. Import Libraries: The script begins by importing the necessary libraries. pywhatkit is imported as kit for Brevity, and OpenCV (cv2) is also imported.

    import pywhatkit as kit
import cv2

  2. Define the Text: The text you want to convert to handwriting is stored in the text_to_convert variable. Feel free to replace this with any text you desire.

    text_to_convert = "John Williamson Latham is a New Zealand Cricketer and it plays well"

  3. Convert Text to Handwriting: The text_to_handwriting function from the pywhatkit library is used to convert the text to a handwriting font. The first argument is the text, and the Second argument specifies the file name where the image will be saved.

    kit.text_to_handwriting(text_to_convert, save_to="sample.png")

  4. Read and Display the Image: OpenCV is used to read the generated image and display it in a window. The imread function reads the image, and imshow displays it.

    img = cv2.imread("sample.png")
cv2.imshow("Text to Handwriting", img)
cv2.waitKey(0)
cv2.destroyAllWindows()
    • cv2.waitKey(0) waits indefinitely for a key press.
    • cv2.destroyAllWindows() closes all OpenCV windows.

With just a few lines of code, the pywhatkit library simplifies a complicated task.

Running the Script

To run the script, open your command prompt or terminal, navigate to your project directory, and type:

python app.py

This command executes the Python script. You should see a new window displaying the text converted into a handwriting font. A PNG image named sample.png will also be saved in your project directory.

Frequently Asked Questions

What is pywhatkit?
pywhatkit is a Python library that offers functionalities such as sending WhatsApp messages, performing Google searches, and converting text to handwriting. It simplifies these tasks with easy-to-use functions, making it a versatile tool for various automation and creative projects. It is available through pip using the command pip install pywhatkit.
Can I use this library for commercial purposes?
Yes, you can use the pywhatkit library for commercial purposes. However, ensure you comply with the library's license and any dependencies' licenses. Always check the licensing terms to avoid any legal issues.
What image formats are supported for saving the handwriting font?
The pywhatkit library, in conjunction with OpenCV, primarily supports saving images in PNG format. The script specifies the save_to parameter with a .png extension to ensure the output is saved in this format. Additional formats may require the use of other libraries.
Is an internet connection required to use pywhatkit?
An internet connection is not required to convert text to handwriting, However, if other features within pywhatkit are used -- such as sending WhatsApp messages and Google searches -- an active internet connection will be required.
Can I change the font style of the handwriting?
The pywhatkit library provides a default handwriting style, and there is currently limited support for customizing the font style directly through the library’s functions. Customization might be achieved through using other libraries, such as Pillow.

Related Questions

How can I customize the appearance of the handwriting font?
Customizing the handwriting font involves a few steps beyond the basic conversion provided by the pywhatkit library. You can use other Python libraries like Pillow (PIL) to manipulate the generated image and achieve the desired appearance. Generate the Base Image: Start by generating the handwriting image using the pywhatkit library, as shown in the earlier examples. Load the Image Using Pillow: Use Pillow to open and manipulate the image. from PIL import Image, ImageFont, ImageDraw img = Image.open("sample.png") draw = ImageDraw.Draw(img) 3. **Change the Font Color**: You can change the color of the handwriting by manipulating the pixel values directly or by drawing new text on top of the existing image with a different color. ```python font = ImageFont.truetype("arial.ttf", size=30) #Change to any desired font or size draw.text((x, y), "Your Text", font=font, fill=(0, 0, 255)) # Coordinates, Text, Font, Color(R,G,B) img.save("customized_handwriting.png") By using the ImageDraw and ImageFont classes, you can set the size, and, color of the text
What are some alternative Python libraries for image manipulation?
Besides OpenCV and Pillow (PIL), several other Python libraries can be used for image manipulation: Scikit-image: A powerful library for scientific image analysis, offering tools for image segmentation, feature extraction, and more. Mahotas: A fast computer vision and image processing library, especially useful for bioimage analysis. SimpleITK: A simplified interface to the Insight Toolkit (ITK), designed for medical image analysis. Imageio: A library for reading and writing a wide range of image and video formats.
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