Privacy Risk Scanner
Scan your PDF for hidden author names, GPS data, and metadata before sharing. Strip and download clean.
Drop a PDF to scan for metadata
Scanning...
About Privacy Scanner
PDFs quietly carry metadata — author names, software versions, timestamps, and even GPS coordinates — that can reveal more than you intend. ILikePdf Privacy Scanner inspects a file locally and reports the embedded metadata so you know exactly what is inside before sharing. Pair the scan with the Flatten tool to strip discovered data and produce a clean copy. The scan never uploads your document, which makes it safe even for sensitive files.
How to scan a PDF for hidden data Privacy Scanner
Common use cases for Privacy Scanner
- Check documents for hidden author names before sending to clients.
- Find GPS coordinates embedded in scanned photos inside PDFs.
- Verify that exported PDFs contain no leftover editing history.
- Audit documents as part of a privacy review process.
Pro tips
- Metadata like "Created by" and "Last modified by" often persists unnoticed.
- Scan any PDF received from third parties before redistributing it.
- The scan is fully local — nothing is uploaded.
Frequently Asked Questions
The scanner analyses your PDF for hidden metadata: author names, document revision history, hidden layers, embedded files, comments and annotations, form data, geolocation tags, and invisible text or images.
Yes. After scanning, you can selectively remove each risk category — strip all metadata, delete hidden layers, remove annotations, and purge embedded files with one click.
Yes. All scanning and sanitization runs locally in your browser. Your document never leaves your device, ensuring maximum privacy during the privacy check itself.
Most PDFs contain author name, software version, creation/modification timestamps, and sometimes document serial numbers. Corporate PDFs often include editor names from tracked changes.
Yes. Upload multiple PDFs and scan them simultaneously. Each file gets a detailed privacy risk report with severity levels for each type of hidden data found.