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README.md

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Abraia API client for Python

Python client for the Abraia API, used to smartly transform and optimize (compress) images on-line. Read more at https://abraia.me/docs.

Optimize images for Web with no quality damage based on perception-driven technology.

  • Optimal image compression with our perceptual adjustment to preserve the quality and maximize the compression.
  • Smart crop and resize images with our saliency and aesthetic based model which balances between content and aesthetics.
abraia optimize --width 800 --height 400 https://images.pexels.com/photos/700948/pexels-photo-700948.jpeg images/skater.jpg

Optimized and smart cropped skater

The example takes a 10.1MB image by Willian Was from Pexels with a size of 4865x3321 pixels and automatically generates a 94.4kB header of 800x400 pixels, cropping, resizing, and optimizing the image to directly be used on Web.

Installation

The Abraia python client works in Windows, Mac, and Linux with Python 2 and 3 (python>=2.6.5).

Install the API client and the CLI with a simple command:

pip install -U abraia

Verify that the abraia CLI is correctly installed:

abraia --version

If you get a message of command not found try to uninstall the package and install it again globally:

pip uninstall abraia
sudo pip install abraia

Finally, configure your free API Key using the command bellow:

abraia configure

Command line interface

With the CLI tool you can optimize and resize images by batches.

You can easily compress a folder of images with a simple command:

abraia optimize images

Batch output

To resize an image you just need to specify the width or the height of the image:

abraia optimize --width 500 images/lion.jpg images/lion_500.jpg

Resized lion

To automatically crop and resize specify both the width and height size parameters:

abraia optimize --width 333 --height 333 images/lion.jpg images/lion_333x333.jpg

Smart cropped lion

To filter and image specify some of the available filters:

abraia optimize --width 333 --height 333 --filter desaturate images/lion.jpg images/filtered.jpg

Filtered lion

Moreover, images can be converted from one format to another changing the filename extension for the destination file.

abraia optimize images/jaguar.png images/jaguar.jpg

Fluent API

Abraia fluent API is the easiest way to compress and transform images with python. You just need to define the source of the image, the transformation operation, and the sink for the resultant image.

from abraia import Abraia

abraia = Abraia()

abraia.from_file('images/bird.jpeg').resize(
    width=375, height=375).to_file('images/bird_375x375.jpg')

abraia.from_url('https://api.abraia.me/files/demo/birds.jpg').resize(
    width=750).to_file('images/birds_750.jpg')

abraia.from_store('birds.jpg').resize(
    width=375, height=375).to_file('images/birds_375x375.jpg')

Smart croppend bird Smart cropped birds

Smart cropped image examples

All the operation parameters are automatically chosen to provide the best results balancing quality and file size for a perfectly responsive website.

PNG and WebP images can significantly optimized also.

abraia.from_file('images/jaguar.png').to_file('jaguar_o.jpg')
abraia.from_file('images/jaguar.png').to_file('jaguar.jpg')

PNG Jaguar original PNG Jaguar optimized JPEG Jaguar optimized

Original PNG (45KB) vs optimized PNG (15.8KB) vs optimized JPEG (14.1KB)

License

This software is licensed under the MIT License. View the license.

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