Text Anonymizer & PII Scrubber redacts names, emails, and IDs from text. Paste content, review masked output, copy on ToolYour. REST API and MCP supported.
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- No signup
- Fast
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Text Anonymizer & PII Scrubber
Anonymize sensitive text
Remove names, emails, phone numbers, and other PII before sharing documents or prompts.
Text is extracted in reading order, including tables in Word files.
What to redact
Free · API · MCPToolYour platform
Use Text Anonymizer & PII Scrubber three ways
The free Text Anonymizer & PII Scrubber on this page works in your browser. The same workflow is available via REST API for apps and via MCP for Cursor, Claude, and other agents — one API key, one plan, one quota. This tool is part of the text-intelligence module under AI Tools.
- Free in browserUse Text Anonymizer & PII Scrubber here — no account required.
- REST APICall from your server with
X-Api-Key. - MCP for agentsConnect Cursor or Claude to ToolYour MCP with the same key.
- 1. Get an API keySign in and open Dashboard → API Keys (works for REST and MCP).
- 2. Call or connectUse the REST API from your server, or paste the MCP URL into your agent config.
- 3. Same qualityOutput matches the free web tool across all three surfaces.
What is Text Anonymizer & PII Scrubber?
Before you share client notes, support tickets, or internal documents with colleagues or online tools, run them through this anonymizer. It finds personally identifiable information (PII) such as email addresses, phone numbers, and names, then replaces them with readable tokens like [EMAIL] and [NAME]. Paste text directly or upload a PDF, TXT, or DOCX file. You get scrubbed text ready to copy plus a report listing every item that was removed. Useful for support teams, developers cleaning sample data, researchers sharing interview excerpts, and freelancers redacting client details from case studies.
What are common questions about Text Anonymizer & PII Scrubber?
What types of personal information are detected?
Email addresses, phone numbers, SSN-style patterns, credit-card-like number sequences, IP addresses, and person names.
Can I upload a PDF or Word document?
Yes. Switch to Upload file and attach a PDF, TXT, or DOCX up to 10 MB. Text is extracted from the file, then personal details are redacted.
Will every name always be caught?
Most common PII is detected automatically, but no tool is perfect. Review the entity report and scrubbed output before sharing highly sensitive data.
Do I need an account?
No signup is required. Complete the bot check, run the tool, and copy your anonymized text.
How are redacted values replaced?
Detected items are replaced with tokens like [EMAIL], [PHONE], and [NAME] so the sentence structure stays readable while identifiers are removed.
What is the file size limit?
Uploaded files can be up to 10 MB. For very large documents, paste the relevant section instead.
What are the key features of Text Anonymizer & PII Scrubber?
Paste or upload
Anonymize pasted text or upload PDF, TXT, and DOCX files in one place.
Safe to share
Redact personal details before sending text to teammates, vendors, or public tools.
Entity report
See every detected item, its type, and the replacement token applied.
One-click copy
Copy scrubbed text instantly for tickets, documentation, or drafts.
Fast processing
Results appear in seconds for typical documents and paste jobs.
How do you use Text Anonymizer & PII Scrubber?
Choose paste or file
Paste sensitive text, or upload a PDF, TXT, or Word document.
Run the scrubber
Complete the bot check and click Scrub PII.
Review and copy
Check the entity report, then copy the anonymized text for safe use elsewhere.
Who uses a PII scrubber?
Support teams sanitizing tickets before escalation. Developers cleaning logs or sample data. Researchers sharing interview excerpts. Freelancers removing client details from portfolio write-ups. Anyone who wants a quick privacy pass before text leaves their desk.
Tips for best results
Use text-based PDFs when possible. Scanned image PDFs may not extract well. Review the entity list for false positives, such as product names flagged as people. For critical data, combine automated scrubbing with a quick manual review.
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