Python PIL Saving Files with Datetime Names

In this article, we’ll see how to use Python’s PIL to save image files with datetime names.

Required Modules:

PIL: This library provides extensive file format support, an efficient internal representation, and powerful image processing capabilities.

pip install Pillow

datetime . This module helps us work with dates and times in Python.

pip install datetime

os: This module provides a portable way to use operating system-dependent functionality. The os and os.path modules include many functions for interacting with the file system.

Step by Step:

Step 1: Open the image using the _Image _ module and provide the path.

img = Image.open(path)

Step 2: Get the current datetime using datetime.now() and format the date and time using strftime().

curr_datetime = datetime.now().strftime('%Y-%m-%d %H-%M-%S')

Step 3: Use os.path.splitext(path) to split the path into root and extension.

splitted_path = os.path.splitext(picture_path)

Step 4: Add the current date and time between the root and extension directories and concatenate them.

modified_picture_path = splitted_path[0] + curr_datetime + splitted_path[1]

Step 5: Use the _Image _ module to save the image using the modified path.

img.save(modified_picture_path)

Below is the complete implementation.

# Import the required modules
import os
from PIL import Image
from datetime import datetime
  
  
# Main function
if __name__ == '__main__':
  
Picture_path = "image.jpg"
  
# Open the image using image module from PIL library
img = Image.open(picture_path)
  
# Get the current date and
# time from system
​​# and use strftime function
​ # to format the date and time.
curr_datetime = datetime.now().strftime('%Y-%m-%d %H-%M-%S')
  
​ # Split the picture path
# into root and extension
Splitted_path = os.path.splitext(picture_path)
  
# Add the current date time
# between root and extension
Modified_picture_path = splitted_path[0] +
    curr_datetime + splitted_path[1]
  
    # Save the image with modified_picture_path
    img.save(modified_picture_path)

Output: