abraia 0.6

Abraia Python SDK

Abraia API client for Python

Python client for the Abraia API, used to smartly 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

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 and CLI works in Windows, Mac, and Linux with Python 3, and can be installed 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

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

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

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

Image editing

Using templates images can be easily edited and consistently branded. You just need to use or create a template in the web editor to edit a batch of images from the command line.

abraia optimize --action test.atn --width 333 images/lion.jpg images/branded.jpg

As a result you get a perfectly branded and optimized image ready to be used on your website, ecommerce, marketplace, or social media.

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 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')

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.