magika

We have hosted the application magika in order to run this application in our online workstations with Wine or directly.

Quick description about magika:

Magika is an AI-powered file-type detector that uses a compact deep-learning model to classify binary and textual files with high accuracy and very low latency. The model is engineered to be only a few megabytes and to run quickly even on CPU-only systems, making it practical for desktop apps, servers, and security pipelines. Magika ships as a command-line tool and a library, providing drop-in detection that improves on traditional �magic number� and heuristic approaches, especially for ambiguous or short files. The project documentation highlights how the model is trained and optimized, and how its inference path enables millisecond-level classification. It also emphasizes reproducibility and developer ergonomics with clear install and usage instructions for common platforms. A public site complements the repo with background, examples, and guidance for integrating Magika into existing workflows.

Features:

• Tiny deep-learning model that runs in milliseconds on CPU
• CLI and library APIs for easy integration
• High accuracy on tricky or ambiguous file samples
• Works across binary and textual content types
• Reproducible installs with clear usage examples
• Practical replacement for heuristic magic-based detectors

Programming Language: Python.
Categories: