There’s an incredible technique that makes it possible to convert Pillow images to NumPy arrays with just two memory copies! Wait, what do you mean “with only two memory copies”? Isn’t it possible to convert …
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Alex Karpinsky
An image processing engineer at Uploadcare, the author of the fastest image-resizing algorithm for x86 processors, one of the core developers of Pillow, and the author of Pillow-SIMD, its high-performance fork.
Vulnerability in HTML Design: The Script Tag
TL;DR This article covers one of the ways to avoid the by-design <script> HTML element vulnerability. Long story short, unlike any other HTML tag, <script> implies different rules of escaping its content. The proper escaping …
Continue readingUploadcare Closed a Potential Security Breach Involving Text/HTML Files
TL;DR: We’ve completely disallowed inlining text/html files on our CDN and thus closed a potential security breach. Please check if your application relies on that capability. At Uploadcare, we always take security seriously, and that’s …
Continue readingHow to Accelerate Image Resizing Without Screwing Up
With so many devices on the market, it’s a challenge to make on-site images match each screen size. This is what happens (hopefully) in milliseconds before a visitor sees the actual webpage. The faster the …
Continue readingThe fastest production-ready image resize out there, part 1: general optimizations
In the introductory article, I provided a comprehensive summary of the challenge. The story turned out to be rather long and a bit half-baked: it did not contain a single line of code. However, it’s …
Continue readingThe fastest production-ready image resize out there, part 0
Hi there. Name’s Alex. I made the fastest image resize for modern x86 processors. And, I’d like to share my experience hoping I might motivate and inspire you to go optimize things. My warmest thanks …
Continue readingImage Resize in Browsers Is Broken
t’s been through a grinder or something. We at Uploadcare have rebelled against the unattractive thing and decided to deal with it.
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