Detect file types quickly and accurately using AI technology.
From the README
pipx install magika
- Trained and evaluated on a dataset of ~100M files across 200+ content types.
- On our test set, Magika achieves ~99% average precision and recall, outperforming existing approaches -- especially on textual content types.
- After the model is loaded (which is a one-off overhead), the inference time is about 5ms per file, even when run on a single CPU.
- You can invoke Magika with even thousands of files at the same time. You can also use -r for recursively scanning a directory.
- Near-constant inference time, independently from the file size; Magika only uses a limited subset of the file's content.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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magika has 17.3k stars on GitHub. It has been forked 1.1k times. magika is written mainly in Python. It has been in active development since 2023. magika is available under the Apache-2.0 license. Its main topics are ai, deep-learning, filetype, keras-classification-models.
What is magika?
Fast and accurate AI powered file content types detection
Is magika open source?
magika is an open-source project. It is released under the Apache-2.0 license.
Is magika free?
Yes. magika is free and open source — you can use, modify and self-host it.
What license does magika use?
magika is available under the Apache-2.0 license.
What language is magika written in?
magika is written mainly in Python.
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