Tool Information
Magika is a deep learning-based tool for detecting and classifying various file content types. Developed by Google, it's designed to outperform traditional file type detection tools by providing enhanced accuracy across a broad range of content types. Magika is designed for efficiency, allowing for quick operation even on a single CPU. Users can test out Magika's capabilities from their browser. Uploaded files remains secure as the processing is entirely performed browser-side with no uploads to external servers. A unique feature of Magika is its installability as a Python package, allowing users to run it readily from their command line. It can also be leveraged in Python or JavaScript codebases, making it a versatile tool in a developer's kit. Magika is a game-changer that allows precise file content type detection with comprehensive support including language-specific files, executables, document types, image and video data, and audio bitstream data, among others. Reports indicate that a similar version of Magika is in use at Google, scanning millions of files per second for accurate content-type tagging. Plans are underway to release a detailed paper explaining how Magika was trained and its performance on large datasets.Despite its capabilities, users should note that Magika is designed to output a single content type for a file, therefore polyglot files will not be mapped to two or more categories. Despite this, it remains a powerful tool in content type detection using deep learning. For users wanting to cite Magika, a citation guide is available on the project's GitHub page.
F.A.Q (20)
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.
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.
Pros and Cons
Pros
- Outperforms traditional tools
- Enhanced accuracy
- Efficient operation
- Operates on single CPU
- Browser-side file processing
- High file security
- Installs as Python package
- Command-line operation
- Python or JavaScript integration
- Comprehensive file type support
- Scans millions files/second
- Language-specific file support
- Executable
- document
- image
- video support
- Audio bitstream data support
- 99%+ average precision
- 99%+ average recall
- Demo option in browser
- Detailed performance paper
- Citable with citation guide
- Faster file-type identification
- Commands to install
- Example outputs provided
- JavaScript library usage
- Single content output
- Model details disclosed
- Model owners clarified
- Detailed performance metrics
- Limitations specified
- Use cases identified
- Outputs file total size
- Content type probability displayed
- Outputs individual file precision
- Outputs individual file recall
- Detailed quantitative analysis
- Can process large datasets
- Designed for developer usage
- Deep learning-based precision
- Output compatible with data tagging
- Can process polyglot files
- Comprehensive support for executable types
- Scaled successfully at Google
- Optimized for Python and JavaScript
- Processed in client-side browser
- Consistently updated and maintained
- Fast even on single CPU
- Handles document files effectively
- Support for audio and video data
- Recognizes language-specific files
Cons
- Single content-type output limitation
- Browser-side-only processing
- No support for external servers
- Lack of detailed training documentation
- Python and JavaScript only
Reviews
You must be logged in to submit a review.
No reviews yet. Be the first to review!
Similar Tools
Transform your face into anything imaginable.
TBD
Free + from $5.99/mo
