However, in this tutorial, you will learn to reduce image file size in Python using the Pillow library. You're free to use the code for this tutorial. For instance, you can make an API around it to reduce image sizes in batches instead of using a third-party API that may cost you money. I made the code for this tutorial as flexible as possible. You can compress the image and resize it with a scaling factor or exact width and height.

August 27, 2022 - from turtle import width import PIL from PIL import Image #open the image with Image.open('original.jpg') as my_image: #new widht and height in px width = 400 height = 700 print("The original size of Image is: ", round(len(my_image.fp.read())/1024,2), "KB") #compressed the image my_image = my_image.resize((width,height),PIL.Image.NEAREST) #save the image my_image.save('compressedResized.jpg') #open the compressed image with Image.open('compressedResized.jpg') as compresed_image: print("The size of compressed image is: ", round(len(compresed_image.fp.read())/1024,2), "KB") ... We can also download an image from the web and compresses it using the Python pillow library.

September 13, 2024 - To compress and crop images without losing quality in Python, you can use the Pillow library. Here's an example code snippet that demonstrates how to achieve this: ... if name == "main": input_image_path = "input.jpg" output_image_path = ...

July 15, 2025 - # run this in any directory # add -v for verbose # get Pillow (fork of PIL) from # pip before running --> # pip install Pillow # import required libraries import os import sys from PIL import Image # define a function for # compressing an image def compressMe(file, verbose = False): # Get the path of the file filepath = os.path.join(os.getcwd(), file) # open the image picture = Image.open(filepath) # Save the picture with desired quality # To change the quality of image, # set the quality variable at # your desired level, The more # the value of quality variable # and lesser the compression pi

June 12, 2025 - import os from PIL import Image import zstandard as zstd import piexif def optimize_jpeg(input_path: str, temp_path: str): image = Image.open(input_path) if "exif" in image.info: piexif.remove(input_path) image.save(temp_path, format="JPEG", quality=85, optimize=True) print(f"[1] Optimized JPEG: {temp_path}") def compress_zstd(input_path: str, output_path: str, level: int = 19): with open(input_path, "rb") as f: jpeg_data = f.read() cctx = zstd.ZstdCompressor(level=level) compressed = cctx.compress(jpeg_data) with open(output_path, "wb") as f: f.write(compressed) print(f"[2] Zstd Compressed: {

Compress JPG via Python library. Set level, percentage, or target size to shrink files while preserving visual quality for web, email, and storage.

A Python program that compresses an image using singular value expansion - evgenyneu/image_compressor_python

How to Compress Images in Python with tutorial, tkinter, button, overview, canvas, frame, environment set-up, first python program, etc.

As different social media platforms often require different image and width formats, resizing images automatically with python can definitely save you time. To learn how to resize a single image. To learn how to resize multiple images within the current working directory. from PIL import Image import PIL import os import glob · As well as compressing an image, we can also re-size the image to be either: A specific base width. A specific base height. base_width = 360 image = Image.open('example-image.jpg') width_percent = (base_width / float(image.size[0])) hsize = int((float(image.size[1]) * float(width_percent))) image = image.resize((base_width, hsize), PIL.Image.ANTIALIAS) image.save('resized_compressed_image.jpg')

January 7, 2025 - How to Compress Images using Python We will see how we can compress our images using Python. For this, I am using the pillow library and also tkinter for selecting an image from the system. Let’s …

July 20, 2023 - from PIL import Image import io ... Image Info:") print(f"Dimensions: {original_img.size}") # Method 1: Resize the image width, height = original_img.size new_size = (width//2, height//2) resized_img = original_img.resize(new_size) ...

Simple python code to compress (jpeg/png) images uploaded to S3. In this use case I want to compress down all images that are over 500 KB down to 80% quality which brings the images down to about 100KB. Feel free to muck with the values. - compress_s3_images.py

Compression of images with JPEG algorithm using python and Huffman codes.

1 month ago - Achieving a balance between file size and image quality requires a careful selection of algorithms and compression levels. To compress images in JPEG format, we’ll employ Aspose.Imaging for Python via .NET API which is a feature-rich, powerful and easy to use image manipulation and conversion API for Python platform.

November 7, 2025 - With Tinify, a Python package for compressing and optimizing JPEGs and PNGs by means of the Tinify API.

August 29, 2025 - In the beginning, there was PIL, an open-source Python Imaging Library. It works with Python version 2, which was discontinued in 2020. It offers methods to open, manipulate (including resizing and compression) and save image files.

July 7, 2023 - The following code sample shows how to compress an image in Python. To compress images of other formats, we will use the respective ImageOption class. For example, to compress JPG images, we will use JpegOptions and for Tiff images, we will use TiffOptions class.

June 10, 2026 - Next, we used AbstractAPI's Free Image Processing endpoint to perform lossy compression on a hosted image file. The easiest way to lower image resolution in Python is to use Pillow. First, use the PIL Image object to open the image file.

May 8, 2025 - Set the environment to use Aspose.Imaging for Python via .NET to shrink a JPG file · Import the desired classes and objects from various modules in the API · Load the input JPG file into the Image object using the load() method · Instantiate ...