Convert Text Image to Hand Written Text Image using Python
In this article, we are going to see how to convert text images to handwritten text images using PyWhatkit, Pillow, and Tesseract in Python.
Pytesseract: Sometimes known as Python-tesseract, is a Python-based optical character recognition (OCR) program. It can read and recognize text in photos, license plates, and other documents. To interpret the words from the provided image, we’ll utilize the tesseract software.
pip install pytesseract
Pywhatkit: It is a library that may be used for a variety of things, including sending WhatsApp messages, watching YouTube videos, searching Google, and writing handwritten text.
pip install pywhatkit
Pillow: This module adds more features, operates on all major operating systems, and has Python 3 support. It supports a broad range of image formats, including “jpeg,” “png,” “bmp,” “gif,” “ppm,” and “tiff.” With the pillow module, you can do nearly anything with digital photographs.
pip install Pillow
Note: Visit and Install Tesseract; scroll down to find the latest installers for 32-bit and 64-bit systems; download them as needed.
Step 1: Import the following modules.
Step 2: Navigate to the path where the picture is located, the chdir function in the OS module can be used to alter the directory.
Step 3: Copy the installation path for Tesseract, paste it here, or verify the directory of Tesseract and copy the entire path.
Step 4: First, open the image with the image function, then use pytesseract to get all the image’s data, and store all the text in a variable.
Step 5: Use the text _to_handwriting function from pywhatkit to convert text to the specified RGB color; in this case, the RGB for blue is 0, 0, 250.
Below is the complete implementation: