How to use in python pillow

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by gayathrimohan dot icon Updated: Sep 1, 2023

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The Pillow library in Python uses the method to save images to various file formats. To save images from a web page using Pillow, people use it for image processing tasks.  


You would first need to use a library-like request to fetch the image from the web page's URL. Then, you can open the image using Pillow's Image class. Finally, use the save () method to save the image. You can store the image in your desired location with the appropriate file format. This process allows you to download and save images from web pages. The Python Pillow library provides a save method to save images in various forms.    

Here are the standard image formats you can save using the method:   

  • JPEG (jpg/jpeg): It formats photos and images with many colors. It uses lossy compression, which reduces file size but might result in some quality loss.   
  • PNG (png): It is a lossless compression format. That is suitable for images with sharp edges, transparency, or simple graphics. It supports alpha channels for transparent backgrounds.   
  • GIF: It is a format used for animations and showing images with few colors. It supports transparency and animation by containing many frames in a single file.   
  • BMP (bmp): It is an uncompressed format. That provides high-quality images but results in larger file sizes Than other formats.   
  • WebP (webp): It is a modern image format developed by Google. That offers both lossless and lossy compression. It usually provides smaller file sizes while maintaining good quality.   
  • TIFF (tiff): It is a flexible format often used for high-quality images in print and publishing. It supports lossless compression and many layers.   
  • JPEG 2000 (jp2): It is an advanced image format. That provides better compression and quality than traditional JPEG. It's suitable for images that are high quality and smaller sizes.   

By selecting different options with; you can change how you can save images.   

Some of the key options include:   

  • Filename (filename): You can use the "filename" option to choose the file path and name for the image. Example: "output_image.jpg".   
  • File Type (format): You can specify the format to save the image. Pillow supports JPEG, PNG, GIF, BMP, and TIFF formats. Use format strings like "JPEG", "PNG", and "GIF".   
  • Compression Quality (quality): You can set the compression quality for formats like JPEG. Higher values usually result in better image quality but larger file sizes. It's usually a value between 1 and 95.   
  • Progressive: If you choose "progressive," JPEG format will create an advanced JPEG image. It has the type of JPEG loaded in scans. Show a lower-resolution preview while the image is still loading.   
  • Optimize (optimize): This option is specific to PNG format. When set to True, it uses optimization techniques to reduce the PNG image size.   
  • Transparency: You can specify a transparency color for formats like GIF and PNG. When displayed in the background, it will appear transparent.   
  • Resolution (dpi): You can set the image's resolution using the dots per inch (DPI) value. This can be useful for printing purposes.   
  • Save All (save_all): When saving a multi-frame image (e.g., GIF). If you want to save all frames, not just the first one, use True with the method in the Python Pillow library. It will help reduce the saved image file size.   

Here are some tips:   

  • Choose the Appropriate File Format: Depending on the type of image and your needs. You can choose formats. They are like JPEG for photographs, PNG for transparent images, and WebP for web images. Each format has its compression methods and trade-offs.   
  • Use Compression: Most image formats support compression options. For example, in JPEG, you can specify the quality level using the quality parameter. A lower quality value will result in a smaller file size but potentially loss of image details. Experiment to find the right balance between quality and file size.   
  • Adjust DPI: If the image is for screen display, you can set the DPI to a lower value (e.g., 72 DPI) to reduce the file size. This won't affect the image's appearance on screens.   
  • Resizing Images: If the image is too large for its intended purpose, you can resize it before saving. Smaller dimensions will lead to a smaller file size.   
  • Remove Metadata: Images have metadata, like EXIF data, that may not be necessary for your needs. You can remove this metadata before saving to reduce file size.   
  • Choose Compression Algorithms: Some formats allow you to choose between different compression algorithms. For example, WebP supports lossless and lossy compression. Experiment with these options to find what works best for your image.   
  • Progressive JPEG: When saving JPEGs, consider using the advanced option. This allows the image to load in browsers, giving the impression of faster loading times.   
  • Batch Processing: This ensures consistency in file sizes and quality.   


To use the function in the Python Pillow library to save images for later use. To include saving images to a USB drive or a cloud storage service, follow these steps:  

  • Import the necessary modules: Start by importing the required modules, which are PIL. Also, use any other relevant modules like OS for file operations.   
  • Open and manipulate the image: Open the image using the function. Then, perform any required manipulation or processing.   
  • Save the image: Use the function to save the image to a specified location. Provide the desired file path and the image format you want to save (e.g., JPEG, PNG).   
  • Saving to a USB drive: To save the image to a USB drive, ensure that you have mounted and can access the USB drive.   
  • Using a cloud storage service: First, sync your cloud storage folder. Once synced, you can save the image in the synced folder, and the cloud service will upload it.   
  • Handling cloud storage APIs (optional): To automate uploading images to a cloud storage service via API, you'll need to use the respective service's API (e.g., Dropbox, Google Drive.). Follow their documentation to authenticate and upload files. 


In Python, using from the Pillow library to save images is crucial. This is for preserving image quality and consistency. Also, especially when dealing with web pages visited. This function ensures that it stores images in a standardized format and compression.  

Reducing loading times for users and maintaining visual integrity achieves it. By incorporating, you enhance user experience. Also, you can contribute to the performance of your web pages.    

Fig : Preview of the output that you will get on running this code from your IDE.


In this solution we are using pillow library of Python.


Follow the steps carefully to get the output easily.

  1. Download and Install the PyCharm Community Edition on your computer.
  2. Open the terminal and install the required libraries with the following commands.
  3. Install Pillow - pip install Pillow.
  4. Install image - pip install image.
  5. Create a new Python file on your IDE.
  6. Copy the snippet using the 'copy' button and paste it into your Python file.
  7. Add this line at the end of the code "".
  8. Run the current file to generate the output.

I hope you found this useful.

I found this code snippet by searching for 'How to use in python pillow' in Kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. PyCharm Community Edition 2022.3.1
  2. The solution is created in Python 3.11.1 Version
  3. Pillow v9.1.0 Version
  4. image v1.5.33 Version

Using this solution, we can able to use in python pillow with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to use in python pillow.

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                                          You can search for any dependent library on 'Pillow' and 'image'.


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                                          1. What is a display utility, and how does it work with pillow image save?    

                                          A display utility is a software tool that helps visualize and manage images. When you use the Pillow library in Python for image-processing tasks. You can use a display utility to view the images you are working with. The Pillow library itself doesn't include a built-in display utility. But you can use third-party libraries like matplotlib. They are like the default image viewer on your operating system to display the images.   


                                          When you save an image using Pillow (e.g., using the method), it writes the image data to a file on your storage. The display utility doesn't interact with the image-saving process. Instead, you can use the display utility to open and view the saved image file after saving the image. This helps you verify your changes to the image using Pillow and check the result.    


                                          2. What type of image data can the Python tutorial for pillow image save import?    

                                          In a Pillow image, save a tutorial for Python. You can import various image data types, including JPEG, PNG, GIF, BMP, and more formats. Pillow is a powerful library that supports a wide range of image formats. You can work with different types of images in your Python code.   


                                          3. How do you import an Image into the Pillow library using Python?    

                                          You would use the Image module from the PIL package to import an image into the Pillow library using Python.  


                                          Here's a simple example:    

                                          from PIL import Image   

                                          # Open an image file    

                                          image ="your_image.jpg")   

                                          # You can now work with the 'image' object    


                                          Replace "your_image.jpg" with the actual path to your image file.   


                                          4. How do you save images in the Pillow library using the Image module?    

                                          To save images using the Pillow library's Image module in Python, you can follow these steps:   

                                          Import the necessary modules:   

                                          from PIL import Image   

                                          Open the image you want to save:   

                                          image ="input_image.jpg")    

                                          Perform any necessary operations on the image (optional).    

                                          Save the image using the save method:   


                                          You can specify the file format and more options when saving:    

                                "output_image.png", format="PNG")    

                                          Remember to replace "input_image.jpg" with the image path you want to save. Use "output_image.jpg" with the desired name and path for the saved image.   


                                          5. What is the best way to convert an image in JPEG format for pillow image saving?    

                                          To save an image in JPEG format using the Pillow library in Python, follow these steps:  

                                          Open the image using Pillow:   

                                          from PIL import Image   

                                          image ="input.jpg")   

                                          Convert the image to the desired format (JPEG) using the convert () method:   

                                          image = image.convert("RGB")    

                                          # Ensure the image is in RGB mode for JPEG   

                                          Save the image in JPEG format using the save () method:   

                                "output.jpg", "JPEG")    

                                          Remember to replace "input.jpg" with the actual filename of your input image. Use "output.jpg" with the desired filename for the output image.   

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