Instagram Image Splitter

This readme is automated, I didn't even read it

Overview

This Python script, split_image_for_instagram.py, is designed to split any given image into multiple square parts for aesthetically pleasing Instagram posting. It creates a grid of images that, when uploaded in sequence, will display as one large, cohesive image on your Instagram profile.

Features

  • Splits an image into a 3xN grid (3 columns, N rows).
  • Adjusts the number of rows based on the image size.
  • Saves each section of the grid as a separate file for easy posting.

Requirements

  • Python 3.x
  • Pillow Library

Installation

Before running the script, ensure you have Python installed on your system and install the Pillow library using pip:

pip install Pillow

Usage

  1. Place the split_image_for_instagram.py script in the same directory as the image you want to split.
  2. If your image is named differently than bg.png, you'll need to specify the image name when calling the function.
  3. Run the script:
    python split_image_for_instagram.py
    
  4. The script will generate multiple images named instagram_post_1.png, instagram_post_2.png, etc., in the same directory.

Example

To split an image named my_photo.png, edit the main function call at the bottom of the script like this:

if __name__ == "__main__":
    split_image_for_instagram('my_photo.png')

Then run the script.

Troubleshooting

If you encounter any issues, ensure that:

  • The image file is in the same directory as the script.
  • The image file name is correctly spelled in the script.
  • You have the necessary permissions to read the image file and write new files in the directory.

Contributing

Contributions to this script are welcome. Please feel free to fork the repository, make your changes, and submit a pull request.

License

This script is released under the MIT License.


This README.md file should provide a clear understanding of what the script does, how to set it up, and how to use it. Adjust as necessary to fit the specific context or additional features of your script.