Data Anonymizer & PII Redactor

Strip and mask personal data (emails, phones, credit cards, names, SSNs, API keys) before sharing text with AI or third parties. 100% private in-browser processing.

Data De-Identification & PII Masking 101

Sharing customer support logs, employee performance appraisals, or medical research datasets with external AI APIs creates compliance exposures under regulations like GDPR, HIPAA, and CCPA. Uploading unmasked datasets can leak credit card numbers, personal emails, or proprietary corporate secrets.

Our free client-side Data Anonymizer operates as a secure in-browser sanitizer. It scrubs Personally Identifiable Information (PII) before documents leave your device, ensuring complete privacy with zero server uploads.

HIPAA Safe Harbor & GDPR

Under HIPAA Safe Harbor guidelines and GDPR Article 4(5), stripping direct identifiers (names, SSNs, medical record numbers, full dates, phone numbers) enables compliant sharing of health and operational data for research and analysis.

Deterministic Entity Mapping

When anonymizing narrative text, consistent mapping ensures that every mention of "Dr. Sarah Connor" is replaced by the same identifier (e.g. [PERSON_1]), preserving grammatical coherence and logical relationships across the document.

100% In-Browser Isolation

All entity recognition, regex parsing, and replacement algorithms execute locally in your browser memory via JavaScript. Sensitive client data, API credentials, and internal memos never touch external networks.

AI-Ready Synthetic Pseudonymization

Replacing real names and emails with realistic synthetic aliases (e.g. "David Miller", "david@example.com") preserves natural syntactic flow, making sanitized datasets ideal for training custom machine learning and LLM workflows.

Discover What You Can Anonymize Today!

Scrub customer service chat logs, clean payroll spreadsheets, sanitize server error logs with API tokens, and prepare HIPAA-compliant clinical case notes for academic publication with confidence.

Frequently Asked Questions

The data anonymizer runs 100% locally inside your browser using client-side JavaScript regex and heuristic parsing engines. Your text, patient records, customer lists, and financial logs are never uploaded to any remote server or cloud API.

The tool automatically detects and redacts email addresses, phone numbers, credit card numbers with CVV, Social Security Numbers (SSN), UK National Insurance Numbers, personal names, IP addresses, MAC addresses, API keys/tokens, street addresses, and dates of birth.

Tag Replacement swaps sensitive entities with numbered placeholders like [EMAIL_1] or [PERSON_1]. Redaction blackouts text using solid blocks (████) or [REDACTED]. Synthetic Pseudonymization replaces real sensitive details with realistic fake names and emails, preserving readability for LLM training.

Yes. If a person's name or email appears five times in different paragraphs, the tool maps all occurrences to the exact same replacement tag or synthetic alias throughout the entire document.

Yes. You can download a secure JSON mapping file linking each placeholder tag back to the original value, allowing authorized compliance teams to reverse the de-identification process when required.

Yes. By removing the 18 HIPAA Safe Harbor identifiers and GDPR direct identifiers locally before sharing text with AI models or third-party contractors, you safeguard confidential records.

Yes. You can specify custom words, project code names, or specific regular expressions in the Custom Blacklist field to redact proprietary company terms.

Yes. Once the page is loaded, you can disconnect from the internet and anonymize gigabytes of confidential documents offline.

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