In this article, you’ll learn how to convert image to an ASCII symbols.
Prerequisites:
What is ASCII?
ASCII, acronym of American Standard Code for Information Interchange.
ASCII is a character encoding standard for electronic communication. ASCII codes represent text in computers, telecommunications equipment, and other devices.
Install Necessary Modules:
Open your Anaconda Prompt and type and run the following command (individually):
pip install pywhatkit
pywhatkit
is a Python library with various helpful features. It is an easy-to-use library that does not require you to do some additional setup.- This module has lots of other cool features as well. Feel free and go-ahead to explore them or if you wish I can write an article about them.
Once Installed now we can import it inside our python code.
Source Code:
''' Python Program to Convert Image to ASCII ''' # Import the necessary module! import pywhatkit as kt ############################################### # Method 1: # Display welcome msg print("Let's convert image to ASCII symbols!") # Capture source and target path source_path = "rose.png" # source location target_path = "ascii_img" # store location # Call the 'image_to_ascii_art' method kt.image_to_ascii_art(source_path, target_path) ############################################### # Method 2: # Import pywhatkit as kt # kt.image_to_ascii_art("rose.png", "ascii_img")
Output:
Let's convert image to ASCII symbols!
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Code language: PHP (php)

pip install opencv Note: you may need to restart the kernel to use updated packages.
ERROR: Could not find a version that satisfies the requirement opencv ERROR: No matching distribution found for opencv
# install # pip install opencv-python import cv2 image = cv2.imread("rose.png") cv2.imshow("rose", image) cv2.waitKey(0) gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) cv2.imshow("rose", gray_image) cv2.waitKey(0) inverted_image = 255 - gray_image cv2.imshow("rose Inverted", inverted_image) cv2.waitKey() blurred = cv2.GaussianBlur(inverted_image, (21, 21), 0) inverted_blurred = 255 - blurred pencil_sketch = cv2.divide(gray_image, inverted_blurred, scale=256.0) cv2.imshow("rose Sketch", pencil_sketch) cv2.waitKey(0) cv2.imshow("rose original image", image) cv2.imshow("rose pencil sketch", pencil_sketch) cv2.waitKey(0)
Output:
................................................................................
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.......................................:*%@@@&&&&&&@$!:.........................
..............................:::::!*%$@&@@@@&&&#####&@*........................
...........................:*$@&#####&&@@@@@@&&&#####&&@%:......................
.........................:$&###SSS#&&&&&@&#&&&###&&###&&&%:.....................
.........................!####SS#&&####@&#S#&&####&&&&&&&&$*!:..................
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.................:*@#SS***SS&#SSS&#SS#&SSSSSSSSSS#&##&&&&&@&&&&@*:..............
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.................!#SSSS****SS##&#S####SS###@@@##&@@&S#&&@&&&&&&@*...............
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............................&*S##&&&#SSSS#####&&&%***********%$%!...............
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Code language: PHP (php)