There are also ways to pass an IoByte object instead of a file path.
heic if self.original_filename.split('.') = 'heic': heif_file = pyheif.read(pdf_src_path) image = ombytes(heif_file.mode, heif_file.size, heif_file.data, "raw", heif_file.mode, heif_file.stride) else: # assume "normal" image that pillow can open image = Image.open(file_path) # Continue your workflow below from PIL import Pillow import pyheif def work_with_image(file_path) # Check if image format is. pip install pyheifīelow is an example of a function that can handle opening images of “normal” Pillow formats as well as. The library is called pyheif and can be installed using pip from the terminal. Luckily there is a library that does exactly what we need to easy integrate it with your normal Pillow workflow. It has been requested many times to be added in the Pillow library but as of February 2021, Pillow still does not support the format.
This is a rather common problem as it became the standard iPhone image format in iOS 11 released in 2017. It can handle almost all image formats, except for a few, among which High Efficiency Image File Format (HEIC), is one of them. The most common python library for image modification is Pillow (PIL).
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