Magika

AI file type detection tool developed by Google security team

Google Document processing

https://securityresearch.google/magika/

Visit Website

In-depth Report

Magika is an AI-driven file type detection tool developed by Google's security research team that uses deep learning technology to achieve high-precision file identification. This tool can accurately determine the file type only by the file content without knowing the file extension, with an average accuracy of about 99% in the test set. As part of Google's internal security infrastructure, Magika processes tens of billions of file samples every week and is integrated into core products such as Gmail and Google Drive.
Developed by the Google security research team, Magika is the file type detection infrastructure used internally by Google. The project was first made public in February 2024, with a technical paper published at the IEEE/ACM ICSE 2025 conference. The core value of this tool is to solve the problem of traditional file type detection methods relying on file extensions. It uses a deep learning model to directly identify file types from file content, providing more reliable detection capabilities for security scanning.
Core capabilities include high-precision detection: models are trained and evaluated on a dataset containing approximately 100 million samples, over 200 content types, with an average test set accuracy of 99%, and support for recognition of binary and text formats. High-speed inference is another highlight: after model loading (a one-time overhead), inference time per file is about 5 milliseconds, making it efficient even when running on a single CPU. It also adopts a lightweight design: the customized optimization model is only a few MB in size and does not place additional burden on the system. There is also the property of constant inference time: independent of file size, only a limited subset of the file content is used for processing. In terms of intelligent features, the adaptive threshold system fine-tunes the threshold for each content type, deciding whether to return specific prediction results or generalized labels. Error tolerance can be controlled through different prediction modes. Application scenarios include Gmail attachment detection, Google Drive file scanning, Safe Browsing security scanning, and integration into malware detection platforms such as VirusTotal and abuse.ch, processing tens of billions of samples every week. Provides multiple interface support: command line tools (Rust), Python API, JavaScript/TypeScript (experimental npm package), Rust API, GoLang API is under development.
Magika is an open source project of the Google security research team and is free to use. As a tool software, it is mainly targeted at developers and security researchers.
As a security tool used internally by Google, Magika has leading technical advantages in the field of file type detection. The main comments come from the technical community: the deep learning-driven detection method is more reliable than the traditional extension-based method; the high-speed reasoning capability is suitable for large-scale file scanning scenarios; the open source version is easy for developers to integrate into their own projects.
Magika has received positive attention in the security research community. Compared with traditional file type detection tools, its core technical advantage is that it uses a deep learning model instead of simple file signature matching to identify obfuscated or damaged files. Technical papers published at IEEE/ACM ICSE 2025 further demonstrate its academic value.
No major disputes or risks have been identified so far. As a Google security research project, Magika is mainly used to improve file security detection capabilities and does not involve privacy issues such as user data collection.
Recommended usage scenarios include: security researchers who need reliable malicious file detection tools; developers who need to integrate file type detection functions in their applications; and enterprise-level users who need to process large amounts of files for batch scanning. Scenarios that are not recommended include: simple file management needs (the operating system's built-in functions are sufficient); projects with limited budgets (you can find free alternatives); non-technical users (requiring a certain technical background to integrate and use).
Magika is a professional file type detection tool launched by the Google security team. It is technologically advanced and open source and free. Its deep learning method has significant advantages in accuracy and efficiency, and is suitable for enterprises and individual developers who have high requirements for file security. For developers who need integrated file detection capabilities, this is an option worth considering.

User Reviews

Nic_ole932

—

Google's open source file type detection tool is indeed powerful. The 99% accuracy rate is not a boast. After testing several obfuscated files, it can be correctly identified.

史娜磊

—

The inference speed of 5 milliseconds is too fast, and batch processing of thousands of files is like playing.

ChloeLord

—

It has been integrated into our security scanning process and the effect is much better than the previous tool.

莲花858

—

The model is only a few MB, so it is so lightweight that it can also be run on embedded devices.

JClark_886

—

It can be identified without the file extension. This feature is so practical because many malware will disguise the extension.

Carolyn.Cruz_2020

—

The Python API is easy to use, it can be integrated in just a few lines of code, and the documentation is clear.

Raymond.Brown_Plus

—

With products that process tens of billions of samples every week, Google is trustworthy.

EvaLi

—

The adaptive threshold system is smart and the detection results can be configured according to needs.

piic9jnu

—

ICSE 2025 has published papers and their academic value is also very high.

Judy_Long007

—

The Rust command line tool is easy to use and is cross-platform and stress-free.

Thomas_Parker_88

—

Web Demo is very convenient, you can try it directly without installation.

OClin

—

Integrated with VirusTotal, the security ecosystem is very strong.

BGutierrez_2020

—

Supports over 200 file types, giving you a wide range of coverage.

KathleenEdwards_77

—

The deep learning model is much stronger than traditional signature matching, and obfuscated files can also be identified.

Evelyn.Ruiz_66

—

Batch processing uses the -r parameter to scan directories recursively, which is very convenient.

NusretSprangers

—

It’s open source, free, and maintained by the Google security team, so you can rest assured.

MrCameronZhang_2024

—

Has replaced our previous file command with better performance.

AndreaFoster_99

—

The detection speed has nothing to do with the file size. Only a subset of the content is used, which is very efficient.

SColeman_Pro

—

The Go API is under development and we look forward to integrating it into the Go project in the future.

Magika

In-depth Report

User Reviews

Similar Products