In this blog post, we explore a popular open source project called Spectrum, a cross-platform image processing library. We cover this open source project using the ELI5 style of explaining things in simple terms in the shortest amount of time.
If you prefer to learn by watching, we also have an accompanying video about Spectrum on our Meta Open Source YouTube channel.
Spectrum is a client-side image transcoding library. It means developers can easily integrate Spectrum into an Android or iOS project to perform common image operations efficiently.
This library allows developers to upload high-quality images while reducing their size. Smaller image size means lower data consumption and improved upload reliability for you and your users.
While it might sound complex at first, Spectrum focuses on developer experience to make the learning curve less steep. Spectrum's API is declarative, so you only need to define the image's output characteristics, and Spectrum does the complicated orchestration for you!
Spectrum was first open sourced in early 2019. Since Meta first implemented the project, Spectrum has significantly improved the reliability and quality of image uploads that our apps handle on a large scale.
To learn more about Spectrum, visit their website. It has a getting started guide, sample apps and documentation on contributing back to the project. For troubleshooting, feel free to ask a question on the project's GitHub page.
In a series of short videos (~1 min in length), one of our Developer Advocates on the Meta Open Source team explains a Meta open source project in a way that is easy to understand and use.
We will write an accompanying blog post (like the one you're reading right now) for each of these videos, which you can find on our YouTube channel.
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