Magika by Google

✓ verified, sync 2026-08-20

9 checks on record, most recent 2026-10-30 (responded).

Community scorenot yet rated

First indexed2026-08-20

Observation record.

What was checked ourselves, with dates. Not vendor copy, not a rating.

Address confidence: low. The URL on file may not be Magika by Google's own domain (for example a marketplace or parked host). The dates below describe checks against that URL; the link between that URL and Magika by Google itself is not confirmed.

Most recent check 2026-10-30

Result: responded.

Checked on 9 distinct dates, since 2026-08-31. Checked roughly every 7.5 nights on this listing's own record.

2026-10-302026-10-242026-10-182026-10-122026-09-302026-09-242026-09-232026-09-182026-08-31

What this means: the 3-miss rule marks a listing discontinued only after three consecutive failed checks; a bot-wall response never counts toward that streak. the methodology

Price events.

auto-diffed on every sync: the changelog other directories don't keep

The price was checked on 2026-09-23 and no change was observed since.

No approved price events on record

No approved price change is on record.

What it does.

The vendor's own description, unedited, not our claim.

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.

registry ID ndock:tool:magika-by-google