Magika is a deep learning tool developed by Google for detecting and classifying various file content types. This advanced AI solution offers superior accuracy compared to traditional file type detection tools, covering a wide range of content types. Designed for efficiency, Magika operates swiftly even on a single CPU, and users can experience its capabilities directly from their browser. The tool ensures file security by performing all processing locally in the browser, with no data uploads to external servers. A standout feature of Magika is its availability as a Python package, allowing easy installation and use from the command line. It can also be integrated into Python or JavaScript codebases, making it a versatile addition to any developer's toolkit. Magika excels in precise file content type detection, supporting a wide array of files, including language-specific files, executables, documents, images, videos, and audio bitstreams. Reports suggest that a similar version of Magika is used internally at Google, scanning millions of files per second for accurate content-type tagging. A detailed paper explaining Magika’s training process and performance on large datasets is planned for release. While Magika is designed to output a single content type for each file, and thus cannot categorize polyglot files into multiple categories, it remains a powerful tool for content type detection using deep learning. For citation purposes, a guide is available on the project's GitHub page. Magika stands out as an essential tool for developers, combining deep learning with robust content type detection capabilities, ensuring efficient and accurate results.