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  4. Magika AI
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Magika AI

Free AI file-type detector — 99% accurate, 5ms per file, by Google Security

Developed by Google Security Team

Try Model
~1M (tiny CNN)Params
YesAPI
stableStability
Magika 0.5+Version
Apache 2.0License
Keras / ONNXFramework
YesRuns Local

Playground

Implementation Example

Example Prompt

user input
magika suspicious_attachment.dat

Model Output

model response
suspicious_attachment.dat: PE32 executable (Windows EXE) [confidence: 0.998] — Magika correctly identifies the disguised executable that traditional magic-byte tools might miss, flagging it as a potential malware risk in <5ms.

Examples

Real-World Applications

  • Malware detection
  • email attachment scanning
  • content management
  • digital forensics
  • file conversion pipelines
  • content moderation.

Docs

Model Intelligence & Architecture

What is Magika AI?

Magika is an open-source AI-powered file type detection tool developed by Google's Security Team, released in February 2024. It uses a custom-trained deep learning model to identify file types from binary content with ~99% accuracy in under 5 milliseconds per file — far more accurate than traditional magic-byte-based tools like the Unix file command.

It's released under the Apache 2.0 license, free for any commercial use.

Why Magika Is Trending in 2026

Magika is used internally at Google for scanning billions of files in Gmail, Drive, and Safe Browsing. Its public release made enterprise-grade file type detection available to everyone — critical for malware detection, forensics, and content-management systems.

Key Features and Capabilities

Magika supports 200+ file types including PDFs, executables, archives, images, code files, and obscure formats. It runs as a Python library, command-line tool, or web service via onnxruntime for cross-platform deployment.

Who Should Use Magika?

Magika is built for security engineers, malware researchers, digital forensics teams, content moderation systems, file storage services, and DevOps engineers.

Top Use Cases

Real-world applications include malware detection (catching disguised executables), email attachment scanning, content management systems, digital forensics, file conversion pipelines, and content moderation workflows.

Where Can You Run It?

Magika runs on any system with Python (Linux, macOS, Windows), Node.js (via WASM), and even browsers. The tiny ONNX model is ~1 MB.

How to Use Magika (Quick Start)

Install: pip install magika. Use the CLI: magika suspicious_file.dat. Programmatically: from magika import Magika; m = Magika(); print(m.identify_path('file.dat').output.label).

When Should You Choose Magika?

Choose Magika whenever you need accurate, fast file-type detection, especially when content might be disguised. It's far superior to magic-byte tools for security-critical applications.

Pricing

Magika is completely free under Apache 2.0.

Pros and Cons

Pros: ✔ Apache 2.0 license ✔ 99% accuracy ✔ <5ms per file ✔ 200+ file types ✔ ~1MB model ✔ Powers Google's security infrastructure

Cons: ✘ Specialized scope (file detection only) ✘ Less detail than libmagic for some formats ✘ Smaller community than file/libmagic

Final Verdict

Magika AI is the gold standard for AI-powered file detection in 2026 — essential for security and content workflows. Discover more security AI at FreeAPIHub.com.

Evaluation

Advantages & Limitations

Advantages
  • ✓ Apache 2.0 license
  • ✓ 99% accuracy
  • ✓ <5ms per file inference
  • ✓ 200+ file types supported
  • ✓ ~1MB model size
  • ✓ Powers Google's security infrastructure
Limitations
  • ✗ Specialized scope (file detection only)
  • ✗ Less detail than libmagic for some formats
  • ✗ Smaller community than file/libmagic

Important Notice

Verify Before You Decide

Last verified · Apr 29, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Try the Model Official Website Source Code

Technical Details

Architecture
Custom CNN trained on binary file signatures
Stability
stable
Framework
Keras / ONNX
License
Apache 2.0
Release Date
2024-02-15
Signup Required
No
API Available
Yes
Runs Locally
Yes

Rate Limits

No limits self-hosted

Pricing

Completely free under Apache 2.0

Best For

Security engineers and DevOps teams needing accurate file type detection at scale

Alternative To

Unix file command, libmagic, TrID

Compare With

magika vs file commandmagika vs libmagicai file type detectionfree malware file detectorgoogle magika

Tags

#Malware Detection#File Detection#Magika#Google#Security AI#Open Source AI

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