Processors

The “pilkit.processors” module contains several classes for processing PIL images, which provide an easy to understand API:

from pilkit.processors import ResizeToFit

img = Image.open('/path/to/my/image.png')
processor = ResizeToFit(100, 100)
new_img = processor.process(img)

A few of the included processors are:

• ResizeToFit

• ResizeToFill

• SmartResize

• Adjust

• TrimBorderColor

• Transpose

There’s also a ProcessorPipeline class for executing processors sequentially:

from pilkit.processors import ProcessorPipeline, ResizeToFit, Adjust

img = Image.open('/path/to/my/image.png')
processor = ProcessorPipeline([Adjust(color=0), ResizeToFit(100, 100)])
new_image = processor.process(img)

Utilities

In addition to the processors, PILKit contains a few utilities to ease the pain of working with PIL. Some examples:

prepare_image

Prepares the image for saving to the provided format by doing some common-sense conversions, including preserving transparency and quantizing.

save_image

Wraps PIL’s Image.save() method in order to gracefully handle PIL’s “Suspension not allowed here” errors, and (optionally) prepares the image using prepare_image

Utilities are also included for converting between formats, extensions, and mimetypes.