Images, Audio & Video

ImageIO

The universal adapter that lets Python open just about any image or video format without a fuss.

Install it: pip install imageio

What does it do?

ImageIO’s whole job is reading and writing visual files, photos, GIFs, video frames, even specialized scientific formats like microscope scans or 3D volumetric data, through one consistent interface. Instead of learning a different tool for JPEGs, another for TIFFs, and another for video, you use the same handful of commands regardless of format. It’s less about editing images creatively and more about reliably getting pixel data in and out of a program. It’s the universal power adapter for images: the plug always fits, no matter which format’s outlet you’re dealing with.

See it in action

This reads an image file into the program and then saves it back out again as a different file format.

import imageio.v3 as iio

image = iio.imread("path/to/photo.jpg")
iio.imwrite("path/to/photo.png", image)

Why would a non-developer care?

Anyone building software that accepts files from many sources, a hospital imaging system, a scientific lab, a photo-sharing app, benefits from not writing separate code for every possible format. It matters because format compatibility headaches are exactly the kind of invisible plumbing that, when it works, nobody notices.

Real-world examples

Scientific imaging pipelines studying microscopy or medical scans often use imageio to read specialized volumetric formats that ordinary photo apps can’t open at all. It’s also commonly used to build animated GIFs programmatically, frame by frame. Data scientists processing large batches of images from mixed sources rely on it to avoid writing format-specific loading code for each dataset.

Who uses it

Scientists and researchers handling microscopy, medical, or volumetric imaging data, plus developers who need reliable, format-agnostic image loading.

How it compares to alternatives

ImageIO focuses purely on reading and writing files reliably across formats, whereas Pillow and OpenCV add substantial editing and analysis features on top, and many scientific Python projects reach for imageio specifically because it handles obscure formats those other libraries don’t touch.

New to Python and want to actually try libraries like this yourself?

Find a beginner-friendly course

Related libraries