Through Python, you can automate image resizing and optimizations. You may use two libraries:
Step 1: Pillow - Python Imaging Library is Python's way of dealing with images.
Install it with the following command:
pip install pillow
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Step 2: Tinify - Tinify API allows for efficient compression of images.
Install it with the following command:
pip install --upgrade tinify
With these libraries at hand, you can proceed to create a Python script.
Step 3: Import the Necessary Modules
import os
from PIL import Image
import tinify
Step 4: Set up Tinify with your API Key.
tinify.key = "YOUR_API_KEY"
Step 5: Define the Function to Resize the Image
def resize_image(input_image\_path,
output_image_path,
size):
original_image = Image.open(input_image\_path)
width, height = original\_image.size
print(f'The original image size is {width} wide x {height} tall')
resized_image = original_image.resize(size)
width, height = resized\_image.size
print(f'The resized image size is {width} wide x {height} tall')
resized\_image.show()
resized_image.save(output_image\_path)
Step 6: Call the Function with the Needed Values
Finally, we call the function with the necessary parameters.
resize_image(input_image\_path='input.jpg',
output_image_path='output.jpg',
size=(800, 800))
Step 7: Optimize image using Tinify API
def compress_tinify(input_image_path, output_image\_path):
source = tinify.from_file(input_image\_path)
source.to_file(output_image\_path)
Call the function with the needed values:
compress\_tinify('input.jpg', 'output.jpg')
Please replace 'input.jpg' and 'output.jpg' with the path to your original image and the path where the program will save the resized image respectively.
Ensure 'YOUR_API_KEY' is replaced with your unique API key. You can get this by registering on the Tinify website.
Please note that you will need Python installed on your machine to run these scripts.
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