Free, browser-based PII redaction for logs, documents, and network captures. Your data never leaves your device.
Launch LogScrubPaste text or upload a file (PDF, DOCX, JSON, logs, PCAP, and more)
Review detected PII, enable or disable rules, and check suggestions
Generate your cleaned file with sensitive data replaced or redacted
Paste text directly or upload files. LogScrub handles a wide range of formats.
Paste any text, log files, or configuration files directly into the editor.
JSON, CSV, XML, YAML, and TOML files with syntax-aware processing.
PDF, Word (.docx), Excel (.xlsx), and OpenDocument formats (.odt, .ods).
PCAP/PCAPNG files for anonymizing network packet captures.
Multiple detection methods work together to find sensitive data others miss.
Pre-built patterns for emails, IPs, credit cards, API keys, SSNs, phone numbers, and more. Enable only what you need.
Machine learning detection of person names, locations, and organizations using a pre-trained NER model running entirely in your browser.
Analyzes JSON keys like "password", "token", "api_key" to find secrets that patterns might miss.
Add your own regex patterns or plain text matches for company-specific data.
Choose how sensitive data gets replaced to fit your needs.
Replace with descriptive labels like [EMAIL-1], [IP-2]. Consistent mode ensures the same value always gets the same label.
Generate realistic fake replacements — fake emails, IPs, names, and addresses that maintain data structure. Keep Country mode preserves phone country codes, IBAN prefixes, and domain TLDs.
Replace with solid blocks (████████) for complete visual redaction of sensitive content.
Define your own replacement format with templates like {TYPE}-{n} or REDACTED_{original}.
Protect sensitive data across a wide range of scenarios.
Clean sensitive information before sending documents to ChatGPT, Claude, or other AI services. Get insights without exposing PII.
Safely share application logs with external developers, support teams, or forums without exposing user data or secrets.
Anonymize personal data in documents before archiving, sharing, or processing to meet privacy regulations.
Clean customer emails and support tickets before using them for training, documentation, or analysis.
Prepare realistic but anonymized data for demos, presentations, or screenshots without revealing real customer information.
Redact credentials and API keys from configuration files and logs before sharing with auditors or consultants.