Paste the original text
Drop in the raw note, contract snippet, support ticket, log excerpt, or AI prompt that needs a privacy check.
Split-screen review, consistent placeholders, and zero-upload processing for AI prompts, legal summaries, HR notes, and support escalations.
Paste raw text on the left, review the highlighted entities, and copy a clean redacted version on the right. Everything is processed locally in the browser and wiped when you refresh.
Local processing keeps sensitive text in memory on this device. No request is sent to a server when you redact, review, or copy output.
Detect, inspect, and replace sensitive entities without sending text to a backend.
Review what will be masked before you copy the cleaned output.
Paste text to see highlighted emails, phones, SSNs, cards, URLs, API keys, and IP addresses.
Copy a clean version with stable placeholders such as [EMAIL_1] and [PHONE_1].
Turn entity types on or off based on the workflow. Leave only the rules you need for the current review.
Load plain-text PDFs into the editor without uploading the document to a server.
A quick audit trail of what the current pass found.
No entities detected yet.
Your redacted output will appear here as soon as the selected rules find a match.
Repeated values keep the same token so reviewers can follow the narrative without seeing the original data.
Mappings appear after the tool finds at least one sensitive entity.
This version focuses on high-confidence, heuristic detection. It is designed for fast operational scrubbing, not as a substitute for legal review or a full NER compliance engine.
Drop in the raw note, contract snippet, support ticket, log excerpt, or AI prompt that needs a privacy check.
Use the entity filters to control what gets masked, then confirm the highlighted source preview matches your expectations.
Use the clean output for legal review, cross-team sharing, vendor escalations, or AI prompts without exposing raw PII.
quickSteps.step4.description
quickSteps.step5.description
quickSteps.step6.description
quickSteps.step7.description
quickSteps.step8.description
Privacy-sensitive teams need auditability, not a black-box masker.
A boutique legal team pastes internal case notes, verifies every email and phone number in the highlighted preview, and shares a cleaned summary with outside counsel.
HR teams remove direct contact fields and other personal identifiers before forwarding candidate notes for panel review.
Support leads redact customer emails, URLs, and signed links before escalating incidents to external vendors or AI assistants.
Security teams scrub IP addresses, API keys, and account references from bug reports before posting them to tickets or internal threads.
Operations managers use stable placeholders so reviewers can follow the same person, card, or URL reference across a multi-paragraph narrative.
The most common questions about local redaction and privacy-first sharing.
A local PII redaction tool detects and replaces sensitive information directly in your browser so the raw text does not need to be sent to a server.
Stable placeholders such as [EMAIL_1] and [PHONE_1] preserve the structure of the conversation. Reviewers can follow repeated references without seeing the original values.
Yes. This is one of the main workflows for the page. You can clean prompts, notes, and transcripts before sending them to an external AI service.
No. The page is designed as a browser-based PII redaction tool with local processing. Redaction happens on the client side.
The first version focuses on practical, high-confidence patterns such as URLs, email addresses, API keys, payment card numbers, SSNs, phone numbers, and IP addresses.
Yes. Each entity type has its own toggle so you can redact only the categories relevant to the current workflow.
It is a free operational helper for daily privacy hygiene. It supports compliance-oriented workflows, but it does not replace legal review or formal policy controls.
After the page is loaded, the redaction logic runs locally in the browser. In practice that gives you a free text anonymizer offline experience for the current session.
It works best for plain text such as emails, support tickets, case notes, exported logs, and AI prompt drafts.
A zero-upload workflow reduces the risk of leaking raw customer, employee, or internal operational data to external systems before you have verified what the text contains.
If this tool saves your team time before legal review, vendor handoff, or AI prompting, support more privacy-first utilities built without ads or forced sign-ups.