Select the information to redact, then import your document. Get the first page free by email. No account required.
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To remove phone numbers from a PDF, upload it to Redact PDF AI. The AI recognises international and national formats — with or without country codes, spaces, or parentheses — across every page and scanned image. You confirm the detections, then export a flattened PDF with the numbers permanently redacted and no recoverable text underneath.
Phone numbers appear in dozens of formats: +41 21 555 12 34, (021) 555-1234, 021/555.12.34, even split across columns or footers. A "find and replace" approach misses most of them. Our detector validates against international (E.164) and national formats for major regions before masking.
Phone numbers are personal data under GDPR and often a direct contact channel that bad actors target.
Beyond regex pattern matching, we validate detected numbers against country-specific formats. This dramatically reduces false positives (e.g., 4-digit page numbers or zip codes that look phone-shaped).
Single file, batch, or scanned documents.
Combine with other categories for one-pass processing.
For edge cases (extension numbers, unusual formats), draw quick manual masks.
Numbers are permanently rasterized over — no recovery possible.
Tenant background packs often contain landlord, employer, and reference phone numbers. Redact them before archiving or sharing with third parties.
Yes — common European national formats are supported alongside E.164. Phone validation reduces false positives.
The base number is detected; the extension may or may not be included depending on layout. Add a manual mask in Studio if needed.
Not automatically — but you can review detections in the Studio and remove the masks you do not want.