Tag files by data sensitivity
Before you file, share, or archive a document, get a quick read on what sensitive data it actually contains. FileX scans for the same patterns the Anonymize tool detects — emails, phone numbers, card numbers, Aadhaar, PAN, SSN, IBAN — and suggests a classification level, all locally in your browser.
Open in FileX (Pro) →How it works
- Open the Classify tool (a FileX Pro feature) and drop in a file — plain text, CSV, JSON, PDF, or Word (.docx) — or paste text directly.
- FileX extracts the text (for PDF and Word, entirely in your browser) and scans it for personal and financial data patterns.
- Get a suggested classification (Public, Internal, Confidential, or Restricted) and download a summary report as .txt, .html, or .pdf.
A starting point, not a certification
Classification here is heuristic pattern matching — the same detectors the Anonymize tool already uses, with checksum validation where the format allows it (Luhn for card numbers, Verhoeff for Aadhaar, mod-97 for IBAN). It is a fast, useful starting point for triage, not a legal or compliance certification. Always review the result against what you actually know about the document.
How the levels are decided
Restricted: any financial account or government-ID pattern (card, Aadhaar, PAN, SSN, IBAN) is present. Confidential: personal contact information (email, phone, IP address, a date pattern) is present, with none of the above. Internal: something was detected (e.g. a bare URL) but nothing personal or financial. Public: nothing matched.
Frequently asked questions
Is my file uploaded to classify it?
No. The file is read and scanned entirely in your browser using the same pattern-matching engine as the Anonymize tool. Nothing is uploaded.
What file types are supported?
Plain text (.txt, .md, .log, .csv, .json), PDF, and Word (.docx) — or pasted text directly. PDF and Word files have their text extracted locally in your browser before scanning; nothing is uploaded.
Can I act on the classification directly?
The report is a summary for your own records. To actually remove the detected data, use the Anonymize tool, which redacts, masks, or pseudonymizes the same patterns.