Magika

Magika is a tool that leverages cutting-edge deep learning to enhance file type detection. It operates with over 99% average precision and recall, and quickly processes files even on a single CPU. It supports over 120 content types and offers a superior accuracy boost compared to traditional tools. A demonstration is available that showcases classification happening entirely in the user's browser, ensuring privacy. It's available for command line use by installing a Python package, and can be integrated with Python or JavaScript code. A related paper will be released with details on its training and dataset performance.

Key Features

file type detection
deep learning
high precision
content classification
browser-based processing

Pros

  • High precision and recall (99%+)
  • Runs efficiently on a single CPU
  • Supports over 120 content types
  • Browser-based processing for privacy
  • Integrates with Python and JavaScript

Cons

  • Only predicts a single content type (no polyglot detection)
  • Dependent on having some computational resource
  • Currently in version 1.0
  • Documentation primarily online
  • Advanced users might require more customization

Frequently Asked Questions

What is Magika?

Magika is a deep learning-based tool for detecting file content types with high accuracy.

How accurate is Magika?

Magika boasts over 99% precision and recall on its test dataset across 120+ content types.

Where can I find the Magika project?

The Magika project can be viewed on GitHub.

Does Magika process files in the cloud?

No, Magika processes files entirely in the browser, ensuring no files are uploaded.

How can I integrate Magika with my coding projects?

You can install Magika as a Python package or integrate it with your JavaScript code.

What are the performance metrics of Magika?

Magika achieves high precision and recall across numerous file types, with precision often at 99% or higher.

What are the limitations of Magika?

Magika can only predict one content type per file, and might have limitations concerning polyglot files.

How fast does Magika process files?

Magika runs its underlying model inference in 5/6ms, even on a single CPU.

Is there further reading material about Magika?

Magika's team will release a detailed paper on the model's training and performance.

What is the licensing of Magika?

Magika is licensed under Apache-2.0.

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