How to Convert Text to Handwriting Using Python?

In 2023, Python is considered the most powerful and useful language. Among other things, it can be used in the creation of software, AI chatbots, data analysis, task automation, web and mobile apps, and whatnot. Today we will be focusing on one such use of Python i.e. text to handwriting conversion.

This method is very simple, in which digital text is converted into a format that looks like handwritten. For people like students or professionals, it can be very useful for creating personalized letters or writing academic work.

So, if you want to know how you can convert your simple digital text into a human-written style, then this article is for you. Here, I’m going to discuss various ways through which one can use Python to attain this. I will also include code samples for each approach, explain its strengths, and identify possible limitations.

Methods to Convert Text to Handwriting Using Python

Now, here I’m going to show you some methods that can help you convert your computer text into handwriting style using Python language.

Using Python Libraries

In Python, there are several different libraries are available that allow you to convert your computerized text into a handwritten style. However, there are two different libraries that you can use to convert your text easily. The first one is:

PyWhatKit Library

PyWhatKit is a Python library that comes with some amazing functionalities, and converting text to handwriting is one of them. It is easy to comprehend, which makes it an efficient method that can be used in different areas. If talk about how you can install this library, then it is very simple. You have to use pip, which is a Python package manager, to install PyWhatKit. Here are the steps that you can follow to install it:

Open your command prompt or terminal.
Type pip install pywhatkit and press enter.

Once installed, you can use PyWhatKit to convert text to handwriting. Here’s a basic example:

import pywhatkit as kit
import cv2
kit.text_to_handwriting(“Hope you are doing well”, save_to=”handwriting.png”)
img = cv2.imread(“handwriting.png”)
cv2.imshow(“Text to Handwriting”, img)
cv2.waitKey(0)
cv2.destroyAllWindows()

This will create an image file named “handwriting.png” with your text in handwriting.

OpenCV Library

Another useful library of Python that can help in various ways is the Open CV (Open-Source Computer Vision) library. It is mostly used for image and video handling, although it could still be used to improve the pictures created with PyWhatKit. To install OpenCV, you can use pip:

Open your command prompt or terminal.
Type pip install opencv-python, and press enter.

With OpenCV installed, you can use it to enhance the handwriting image. Here’s a basic example:

import cv2
image = cv2.imread(“handwriting.png”)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray, (0,0), 3)
sharp = cv2.addWeighted(gray, 1.5, blur, -0.5, 0)
cv2.imwrite(“enhanced_handwriting.png”, sharp)

This will create an image file named “enhanced_handwriting.png” with the enhanced version of your handwriting image.

So, these two are the methods that you can use while writing Python code. However, there’s an alternative and easiest method to do this.

Alternative Method to Convert Text to Handwritten Style

However, if the above method doesn’t work, then a simple and accessible way to do that is by using a text-to-handwriting converter. It is an online tool that enables users to change computer text into their handwritten style.

Use an Online Text to Handwriting Converter

There are hundreds of different text-to-handwriting converters available. Finding one tool in such a large number might be difficult. However, to save time, you can use Text to Handwriting Converter by Prepostseo. It is a free online tool where you can convert as many pages as you want without any limitations.

Here’s the step-by-step guide to how to do that:

Open the tool, and there you will be a lining-type page with some options on the top.

Simply click on the notebook page, and start typing your text. If you have already written the text in a .doc file, copy/paste it then.
Then, you need to modify some changes, so that the outcome looks more real and handwritten. For instance, it provides multiple different handwriting styles. Choose the one that matches with your real writing style. Besides, you can also change the page; for example, if you want to create an assignment on a white A4 blank paper, the option is available. Similarly, do the changes in text spacing, color font, and font size.

After you are done, and the output meets your needs, then you can download it in PNG format.

So, this is how you can convert any computerized text to handwritten without using Python.

Conclusion

In summary, Python provides both code-driven and user-friendly approaches to converting digital text into a handwritten style. Utilizing libraries like PyWhatKit and OpenCV offers a customizable solution, while online converters, such as Text to Handwriting by Prepostseo, provide a simpler alternative. These methods enable users to add a personalized touch to their content creation, merging the digital and handwritten realms effortlessly.