Pillow
Friendly PIL fork for image processing in Python
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Pillow?
Pillow is a powerful and easy-to-use library that extends the functionality of Python's Imaging Library (PIL), providing extensive file format support, an efficient internal representation, and fairly complete image processing capabilities.
Key differentiator
“Pillow stands out with its comprehensive support for various image file formats and efficient handling of image data, making it a go-to library for Python developers working on image-related tasks.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Pillow lacks some advanced features found in specialized libraries like OpenCV, such as complex computer vision algorithms and deep learning-based image analysis.
Processing very large images or a high volume of images can lead to memory issues and slow performance due to the library's reliance on Python's memory management.
While Pillow has extensive documentation, it may not cover all edge cases or advanced usage scenarios in sufficient detail, leading to a steeper learning curve for complex tasks.
Fit analysis
Who is it for?
✓ Best for
Developers working on Python-based image processing tasks who need a comprehensive library with good performance and extensive file format support.
Data scientists preprocessing images for machine learning models.
✕ Not a fit for
Projects requiring real-time video processing, as Pillow is primarily designed for static images
Applications that require heavy GPU acceleration for image processing
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Next step
Get Started with Pillow
Step-by-step setup guide with code examples and common gotchas.