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Used for

    Data analysisContent managementSoftware developmentContent type detectionData privacy assuranceIntegration into file scanning workflowsEnhancing existing file management systemsResearch and development in file type recognitionFile type classificationSecurity scanning

Features

    Comprehensive documentationDeep learning-based detection99%+ precision and recallSupports 120+ content typesFast processing on single CPUBrowser-based file processingCommand line usagePython and JavaScript librariesSmall model size (~1MB)Open source (Apache-2.0 license)High accuracy with 99%+ precision and recallSupports a wide range of content typesEfficient single CPU operationBrowser-based file classification ensuring data privacyAvailable as Python and JavaScript librariesSeamless command line interface integrationFast processing speed, scanning millions of files per secondIn-browser demo for quick testingOpen-source project available on GitHubModel details provided for in-depth understandingDeep learning-based file content type detectionOver 99% precision and recallEfficient performance on a single CPUBrowser-based processing for privacyCommand line integration via PythonJavaScript library for Node and client-side useCapable of scanning millions of files per secondDemo functionality for testing files in the browserUpcoming research paper detailing model training and performance

What is Magika?

Magika is a file content type detection tool utilizing deep learning for high accuracy in detecting various file types.

How accurate is Magika?

Magika boasts an average precision and recall of over 99%.

Can Magika be used on a single CPU?

Yes, Magika is designed to run efficiently on a single CPU while maintaining high processing speeds.

Is Magika available for free?

No, Magika is not a free tool.

How can I use Magika in my command line?

You can install Magika as a Python package and execute it using the command line interface.

Does Magika require uploading files for detection?

No, Magika processes files directly in your browser without uploading, ensuring data privacy.

What languages does Magika support?

Magika provides libraries for both Python and JavaScript.

Is there a demo available for Magika?

Yes, you can test Magika using an in-browser demo to classify files.

Where can I find the source code for Magika?

Magika's source code is available on GitHub as part of an open-source project.

Who can benefit from using Magika?

Professionals like data scientists, software developers, system administrators, cybersecurity experts, and IT professionals can greatly benefit from using Magika.

What is Magika?

Magika is a tool developed by Google for detecting common file content types using deep learning, offering high accuracy and efficiency.

How accurate is Magika?

Magika provides over 99% precision and recall in detecting file content types.

Can I use Magika in my browser?

Yes, Magika runs entirely in your browser for privacy and does not upload your files anywhere else.

How can I integrate Magika into my projects?

Magika can be integrated into projects via command line using Python or through its JavaScript library for Node and client-side use.

Is there a demo available for Magika?

Yes, you can test Magika by dropping files into the demo on the website, where the processing happens entirely in your browser.

What file types can Magika detect?

Magika supports a wide range of file content types and offers detailed classification.

Is Magika fast?

Yes, Magika is designed for efficiency and can scan millions of files per second, even on a single CPU.

Is there any documentation or research available on Magika?

A paper detailing the training and performance of the Magika model will be released later this year.

Can Magika be used for security purposes?

Yes, Magika can be used in security scanning to classify and identify file types accurately.

How do I install Magika for command line use?

You can install Magika as a Python package using the command 'pip install magika' and run it using the command 'magika' followed by the file path.

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