Magika is an AI-powered file type detection tool developed by Google. It leverages deep learning to accurately identify content types, supporting over 200 formats including binary and textual files. It boasts high accuracy (~99%) and fast inference times, making it suitable for security, data processing, and development workflows. The current version is 1.0.2, and it receives active development and regular updates.
pip install magikaVerified import paths — ran on the pinned version, not inferred.
Instantiate the `Magika` class and use `identify_bytes` or `identify_path` to determine the content type of a file or byte string. The `output.label` field provides the identified content type. For optimal performance with large files, `identify_path` or `identify_stream` are recommended as they avoid loading the entire content into memory.
Manually load `.env` files using `python-dotenv` if needed, before initializing Magika, or explicitly pass configuration to Magika if such options become available.
Consult the official documentation and changelogs for specific migration paths and updated API usage when upgrading from 0.x versions. Review `Magika` class constructor arguments and identification methods.
Prefer `magika.identify_path(path)` or `magika.identify_stream(file_stream)` for large files, as these methods are optimized to read only necessary portions of the file by seeking, reducing memory footprint.
Ensure you have a compatible `onnxruntime` version for your Python environment and operating system. In case of installation issues, check `onnxruntime`'s official documentation for troubleshooting.
Run `pip install magika` in your terminal to install the library.
Ensure the latest Microsoft Visual C++ Redistributable is installed. Consider upgrading `onnxruntime` (`pip install --upgrade onnxruntime`) or verifying that the necessary DLL directories are correctly added to your system's PATH.
This is a warning and typically does not halt program execution. It can often be safely ignored. If desired, you can suppress it by adding `import warnings; warnings.filterwarnings('ignore', category=DeprecationWarning)` to your code. Library maintainers may address internal handling in future versions.This is an internal library concern and generally requires a fix from the `magika` maintainers. Users typically cannot resolve this directly, but reporting the specific `ImportError` traceback if encountered can help developers prioritize a fix.