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Aspose.Imaging  for Python
WEBP

Use Python for WEBP Images Resize

Create Python Apps to Resize WEBP Images and Photos via Server APIs

How to Resize WEBP Images and Photos with Python

When preparing images and photos for website publication, it’s crucial to consider the specificity of web technologies. A key aspect in this process involves adjusting the sizes of the images. There is often a necessity to scale down images and save files in various resolutions. For instance, gallery pages featuring previews should incorporate small file thumbnails, while pages designated for viewing selected images must offer high-resolution options. Resizing large files can be achieved by reducing the total number of pixels, but the reduction in file size must be done without compromising image quality. During the scaling process, it is important to consider the data compression setting to maintain a balance between image size and quality. Smaller images load faster, a particularly significant advantage on mobile connections, ultimately enhancing the user experience on your website. Automating the bulk file size conversion is easily achievable using the Python library. To resize WEBP images, we will utilize 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. You may install it using the following command from your system command.

The system command line

>> pip install aspose-imaging-python-net

Steps to Resize WEBP via Python

You need the aspose-imaging-python-net to try the following workflow in your own environment.

  • load WEBP file with Image.Load method;
  • resize image;
  • save resized image to disc in the supported by Aspose.Imaging format.

System Requirements

Aspose.Imaging for Python is supported on all major operating systems. Just make sure that you have the following prerequisites.

  • Microsoft Windows / Linux with .NET Core Runtime.
  • Python and PyPi package manager.
 

Resize WEBP images - Python

 
  • About Aspose.Imaging for Python API

    Aspose.Imaging API is an image processing solution to create, modify, draw or convert images (photos) within applications. It offers: cross-platform Image processing, including but not limited to conversions between various image formats (including uniform multi-page or multi-frame image processing), modifications such as drawing, working with graphic primitives, transformations (resize, crop, flip&rotate, binarization, grayscale, adjust), advanced image manipulation features (filtering, dithering, masking, deskewing), and memory optimization strategies. It’s a standalone library and does not depend on any software for image operations. One can easily add high-performance image conversion features with native APIs within projects. These are 100% private on-premise APIs and images are processed at your servers.

    Resize WEBP via Online App

    Resize WEBP documents by visiting our Live Demos website The live demo has the following benefits

      No need to download or setup anything
      No need to write any code
      Just upload your WEBP files and hit "Resize" button
      Instantly get the download link for the resultant file

    WEBP What is WEBP File Format

    WebP, introduced by Google, is a modern raster web image file format that is based on lossless and lossy compression. It provides same image quality while considerably reducing the image size. Since most of the web pages use images as effective representation of data, the use of WebP images in web pages results in faster loading of web pages. As per Google, WebP lossless images are 26% smaller in size compared to PNGs, while WebP lossy images are 25-34% smaller than comparable JPEG images. Images are compared based on the Structural Similarity (SSIM) index between WebP and other image file formats. WebP is a sister project of WebM multimedia container format.

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    Other Supported Resize Formats

    APNG (Animated Portable Network Graphics)
    BMP (Bitmap Picture)
    ICO (Windows icon)
    JPG (Joint Photographic Experts Group)
    CDR (Vector Drawing Image)
    CMX (Corel Exchange Image)
    DIB (Device Independent Bitmap)
    DICOM (Digital Imaging & Communications)
    DJVU (Graphics Format)
    DNG (Digital Camera Image)
    EMF (Enhanced Metafile Format)
    EPS (Encapsulated PostScript Language)
    GIF (Graphical Interchange Format)
    JP2 (JPEG 2000)
    J2K (Wavelet Compressed Image)
    ODG (Apache OpenOffice Draw Format)
    OTG (OpenDocument Standard)
    PNG (Portable Network Graphics)
    SVG (Scalable Vector Graphics)
    TIFF (Tagged Image Format)
    WMF (Microsoft Windows Metafile)