Magika by GoogleContent categorization AI Tool
Detect common file content types with deep learning.
Detect common file content types with deep learning.
Overall
Average of 1 data signal below
3 of 4 content areas filled (features, FAQs, pros/cons, description)
This score is calculated automatically from this listing's available data (community rating, capabilities, pricing transparency, and documentation). It is not a paid or sponsored review.
Pricing & Model
Free
Open Source & API
Proprietary
No Public API
Foundational Model
Proprietary Engine
Key Integrations
Web App Only

Common queries about Magika by Google answered
Magika by Google is designed for detecting and classifying various file content types leveraging the power of deep learning.
Magika differs from traditional file type detection tools by providing enhanced accuracy across a broad range of content types. It uses deep learning, making it more precise and comprehensive in support.
Users can test out Magika's capabilities directly from their browser. It provides a user interface where files can be dropped for classification.
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How Magika by Google stacks up against top competitors
| Feature | Magika by Google | Allclues | categorAIze | Fliki |
|---|---|---|---|---|
| Rating | — | ★ 3 | ★ 3 | ★ 4.8 |
| Visits / month | — | — | — | 692,189 |
| Pricing Model | Free | paid | Freemium | freemium |
| API Access | No | No | No | No |
| Open Source | No | No | No | No |
| Link | Visit Website |
Explore similar AI tools in this category
Security of uploaded files in Magika is ensured by processing them entirely in the user's browser. At no point are the files uploaded to external servers.
Yes, a unique feature of Magika is its availability as a Python package. This feature allows users to run it readily from their command line.
Absolutely. Magika can be easily integrated into both Python and JavaScript codebases, making it a versatile tool in a developer's kit.
Magika can detect and classify a broad range of files including language-specific files, executables, document types, image and video data, and audio bitstream data, among others.
Yes, reports indicate that a similar version of Magika is being used internally at Google, capable of scanning millions of files per second for accurate content-type tagging.
The release of a detailed paper explaining how Magika was trained and its performance on large datasets is planned for the near future.
No, Magika is designed to output a single content type for a file, therefore, it will not map polyglot files to two or more categories.
Users wanting to cite Magika can find a citation guide available on the project's GitHub page.
Magika is designed with a focus on efficiency. Despite offering enhanced accuracy, it operates quickly even on a single CPU.
Key features of Magika include its deep learning-based design for superior performance, browser-side processing for security, and its versatile integration with Python and JavaScript. It can be installed as a Python package and it offers comprehensive support for detecting and classifying a broad range of content types.
Magika achieves an impressive 99%+ average precision and recall, making it highly accurate in detecting and classifying files.
Yes, Magika operates quickly and efficiently even on a single CPU.
Yes, all processing in Magika occurs on the user's browser side with absolutely no uploads to any external servers.
Magika can detect a wide range of content types including language-specific files, executables, document types, image and video data, and audio bitstream data.
Magika offers comprehensive support for various content types. This includes language-specific files, executables, and an array of document types such as Word, PDF, INI, and more.
No, Magika is designed to output a single content type for a file. Therefore, it will not map polyglot files to multiple categories.
Magika can be leveraged in a developer's toolkit by installing it as a Python package for use from the command line and by integrating it into Python or JavaScript codebases.
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