Text Anonymizer
Automatically remove and anonymize sensitive personal information from text. Protect emails, phone numbers, credit cards, SSN, addresses, and names with privacy-safe replacement. Perfect for sharing documents, research data, or any text requiring anonymization.
Continue Your Text Journey
What is Text Anonymizer?
The Text Anonymizer scans text for personal identifying information and replaces it with descriptive placeholders. It detects email addresses, phone numbers, credit card numbers, Social Security numbers, IP addresses, and URLs. Each detected item is replaced with a label like [EMAIL], [PHONE], or [CARD]. The tool runs entirely in the browser, so your text never leaves your device.
How does Text Anonymizer work?
This tool applies regex-based pattern matching to find common formats of personal data in text. When a match is found, it replaces the sensitive value with a bracketed label indicating the type of data that was removed. You can choose which categories to detect and whether to replace or simply remove the matches.
Key Features
- Detects emails, phones, credit cards, SSNs, IPs, URLs
- Replaces matches with descriptive placeholders
- Replace or remove modes
- Toggle each detection category on or off
- Shows count of items detected per category
- Preserves text structure
- Runs in the browser, no uploads
- Works with text of any length
Common Use Cases
Anonymizing research data
Remove participant emails, phone numbers, and IDs from interview transcripts before sharing with co-researchers.
Preparing documents for external sharing
Strip personal information from contracts, reports, or case files before sending them to outside parties.
Creating anonymized test data
Generate a version of production data with personal information replaced by placeholders for development and QA.
Compliance with privacy regulations
Anonymize text content to satisfy GDPR, HIPAA, or other data protection requirements before distribution.
How to Use This Tool
Paste your text
Copy and paste text containing personal information into the input area.
Choose categories
Toggle which types of data to detect: emails, phones, credit cards, SSNs, IPs, URLs.
Process
Click the button. The tool detects and replaces all matching items.
Review and copy
Check the statistics showing how many items were found per category, then copy the anonymized text.
Pro Tips
- 1
Review the statistics to see what was detected before copying the output.
- 2
Name and address detection is not included because it produces too many false positives.
- 3
The tool uses US-centric phone and SSN patterns. International formats may not be detected.
- 4
For truly irreversible redaction in PDFs, use a dedicated PDF redaction tool.
Frequently Asked Questions
What types of personal data are detected?
The tool detects email addresses, phone numbers (US format), credit card numbers, Social Security numbers, IP addresses, and URLs. You can toggle each category on or off.
Is my text uploaded to a server?
No. All detection and replacement happens in your browser using JavaScript. The text never leaves your device.
Does it detect names and addresses?
Not currently. Name and address detection requires NLP models that would add complexity and false positives. The tool focuses on pattern-based detection of structured data like emails and phone numbers.
What are the placeholders like?
Detected items are replaced with bracketed labels: [EMAIL], [PHONE], [CARD], [SSN], [IP], or [URL]. This makes it clear what type of information was removed.
Can I choose which categories to detect?
Yes. Each detection category can be toggled on or off individually, so you only anonymize the types of data you need to remove.