Image Resizer - Automatic Image Resizing Tool

A Python tool that downloads images from URLs, resizes them to 600x600 pixels with a white background, and automatically hosts them on GitHub.

---

How It Works

1. Add image URLs to the images.csv file
2. Run the script
3. Each image is downloaded, resized, and uploaded to GitHub
4. The new public URLs are saved in processed_images.csv

---

Features

• Resizes images to 600x600 pixels while preserving the original aspect ratio
• Automatic white background (including transparent PNG images)
• Output format: WebP (maximum quality, optimized for the web)
• Free hosting via GitHub (direct public URLs)
• Skips images already present in processed_images.csv

---

Installation

Requirements

• Python 3.x
• A GitHub account with a Personal Access Token (scope: repo)

Python Dependencies

pip install requests Pillow

Configuration

Set your GitHub token as an environment variable:

export GITHUB_TOKEN=your_github_token

---

Usage

1. Prepare your images.csv file

image_url
https://example.com/image1.jpg
https://example.com/image2.png

If the URL contains a comma in the filename, wrap it in quotes: "https://example.com/image,name.webp"

2. Run the script

python image_resizer.py images.csv

3. Retrieve the URLs

Resized image URLs are available in processed_images.csv:

image_url,resized_image_url
https://example.com/image1.jpg,https://raw.githubusercontent.com/...

---

File Structure

/
├── image_resizer.py        # Main script
├── check_urls.py           # Checks accessibility of generated URLs
├── cleanup_csv.py          # Removes duplicates and invalid CSV entries
├── verify_images.py        # Verifies image dimensions and background color
├── push_to_github.py       # Exports source code to GitHub
├── images.csv              # Source URLs to process
├── processed_images.csv    # Output: original URLs + resized URLs
└── resized_images/         # Local cache of processed images

---

Additional Tools

Script	Description
check_urls.py	Verifies that all URLs in processed_images.csv are accessible
cleanup_csv.py	Removes duplicates and rows with missing resized URLs
verify_images.py	Checks dimensions (600x600) and background color (pure white)
push_to_github.py	Pushes project files to your GitHub repository

---

Technologies

• Python — core language
• Pillow (PIL) — image processing and resizing
• Requests — image downloading and GitHub API calls
• GitHub API v3 — hosting for resized images

---

Known Limitations

• GitHub API has rate limits for large volumes of images
• Some websites block automatic downloads (SSL errors or access denied)
• For CSV files with commas in filenames, wrap the URL in double quotes