Secret & Sensitive Data Redaction Tool

PopularSecurity & Privacy

Redact API keys, passwords, bearer tokens, credit cards, emails, IP addresses, and PII from log files, code snippets, and support tickets.

100% In-Browser Privacy
Zero Server Uploads
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Target Sensitive Patterns to Mask

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Who Is Secret & Sensitive Data Redaction Tool Built For?

Developers sharing debug logs and stack traces in public GitHub issues, Discord, and Slack
Customer support teams sanitizing sensitive customer screenshots and ticket transcripts
DevOps engineers cleaning environment variables and server configs before sharing with contractors

Key Benefits & Core Capabilities

Automatic Secret Detection Patterns

Detects AWS keys (AKIA...), JWT tokens, OpenAI API keys, GitHub tokens (ghp_...), Stripe keys (sk_...), passwords, and private keys.

PII & Financial Data Redaction

Automatically masks Social Security Numbers (SSN), credit card numbers, email addresses, phone numbers, and IPv4/IPv6 addresses.

Custom Redaction Masking Styles

Choose replacement styles: [REDACTED_API_KEY], [SECRET_***], or solid black block symbols (████████).

100% In-Browser Privacy

Sanitize confidential logs safely in your browser; zero secrets are ever transmitted across the network.

Step-by-Step Guide: How to Use Secret & Sensitive Data Redaction Tool

  1. 1
    Paste Logs / CodePaste raw logs, configuration files, or code snippets.
  2. 2
    Choose Target PatternsToggle detection for API keys, JWTs, IP addresses, and emails.
  3. 3
    Copy Clean OutputCopy the sanitized code with masked credentials.

How It Works & Technical Architecture

The Secret Redaction Tool applies an extensive regex dictionary of over 50 high-confidence credential and PII patterns.

It scans strings for known provider prefixes (e.g. sk-proj-, ghp_, Bearer eyJ...), high-entropy hexadecimal strings, and Luhn-valid credit card patterns.

Matches are replaced with semantic redacted tokens while preserving the surrounding log structure and formatting.

Practical Use Cases & Applications

Sharing Server Logs in GitHub Issues

Redact production database passwords and API tokens from server error logs before posting on public repositories.

Sanitizing AI Chat Prompts

Mask company employee names, email addresses, and proprietary credentials before sending prompts to external LLMs.

Customer Support Debugging

Scrub customer credit card numbers and personal addresses from support tickets.

Compliance & GDPR Data Masking

Anonymize personal identifiers from application test datasets and QA staging logs.

Supported Formats & Input Options

Server Log FilesJSON / YAML ConfigsEnvironment (.env) FilesRaw Code SnippetsStack Traces

Frequently Asked Questions

What types of secrets does this tool automatically detect?

It automatically detects AWS keys, OpenAI keys, GitHub personal access tokens, Stripe secret keys, JWT bearer tokens, SSH private keys, passwords in connection strings, credit cards, emails, and IP addresses.

Can I add custom words or patterns to redact?

Yes. You can enter custom keywords, internal server hostnames, or regex patterns to redact alongside default rules.

Are my sensitive logs uploaded to any server during redaction?

No. All secret detection and string masking execute 100% locally in your browser memory.

Will redaction break the formatting of my JSON or log file?

No. The tool preserves line breaks, indentation, and structure, replacing only the secret values themselves.

Can I copy the sanitized output with one click?

Yes. Softnag includes a one-click copy button and a direct file download for redacted log files.

Why is client-side redaction critical?

Sending unmasked logs containing live API keys to an external server risks credential leakage. Softnag processes all redactions locally in your browser.