Bulk Keyword Redaction - Free Online Browser Tool

Find every occurrence of the terms you list and remove the text itself, not just cover it.

Redaction means removing content, not covering it. A black rectangle drawn over text looks like a redaction but the text is still in the file and can be recovered by anyone who knows to look. This tool genuinely removes the matched content from the document.

This bulk keyword redaction utility runs completely inside your web browser. Your document is opened locally and processed on your own device using JavaScript and WebAssembly, so your file is never uploaded to any server. There is no signup, no watermark and no limit on how many documents you can handle.

  • 100% client-side - files never leave your device
  • Instant processing, no upload wait
  • Works on desktop, tablet and mobile
  • Free forever, no account required

Common next steps: Shapes & Redaction Boxes, Sanitize Tracking IDs, Highlight PDF, Flatten / Remove Annotations.

How to Use the Bulk Keyword Redaction Tool

Four steps, and the whole thing runs locally on your own device.

  1. Load the document

    Drop in the PDF containing material that must be removed.

  2. Define what to remove

    Enter search terms — a social security number, a phone number, an account number, a client name — or a regular expression for patterns.

  3. Review every match

    All matches are listed before anything is written. Review the list carefully, because anything included is permanently gone.

  4. Redact and download

    Matched text is removed from the page content and replaced with a black box marking where it was.

Frequently Asked Questions

Is this a real redaction or just a black box?

A real one. The text is removed from the page content, so it cannot be recovered by copying, searching or inspecting the file structure — unlike a drawn rectangle, which hides nothing.

Can I undo a redaction?

No, and this is the one irreversible operation on this site. Always keep your original unredacted file, and check the match list before committing.

What can I search for?

Literal terms, and patterns where they help — a number format such as a social security number or a phone number can be targeted structurally rather than by exact string.

Does it find every instance?

Every match it identifies is listed for review before anything is written, so you can see whether anything was missed. Patterns catch variations that literal terms would miss.

Should I also clean metadata?

Yes. Removing the text does not remove the author, timestamps or tracking identifiers that may identify who created the document. Run Remove / Clean Metadata alongside it.