Is my raw data uploaded to your server?

No. The TechAlmirah AI Data Anonymizer processes all text entirely within your local browser. Your data never leaves your machine, making it completely safe for proprietary code and sensitive logs.

What types of PII does it detect?

Currently, the tool detects and masks Email Addresses, IPv4 and IPv6 addresses, MAC addresses, Credit Card numbers, Phone numbers, and common API Tokens (like AWS Keys and JWTs).

Why does it use numbered placeholders like ?

If we replaced every email with [REDACTED], the AI would lose the context of whether two log lines belong to the same user. By using consistent placeholders (like ), the AI can track the flow of data without knowing the actual email address.

Does this guarantee 100% anonymization?

No tool can guarantee 100% anonymization. While our regex catches standard formatted PII, it cannot catch custom secrets, hardcoded passwords that look like normal text, or proprietary company names. You should always manually review the output before pasting it into an LLM.

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100% Secure — Your data stays on your system only

AI Data Anonymizer

Paste your JSON, logs, configs, or any text, and this tool automatically detects and masks sensitive values — emails, passwords, JWT tokens, AWS keys, and more — so you can safely share it with AI tools without exposing production secrets.

Active Detectors

Your Sensitive Data

Anonymized Output

Highlight changes

Anonymized output will appear here…

Protect Your Data Before Using AI Chatbots

AI assistants like ChatGPT, Claude, and GitHub Copilot are incredible tools for debugging code and analyzing server logs. However, pasting a raw Kubernetes log file or database dump into a public LLM often violates company compliance policies (GDPR, HIPAA) because those logs contain Personally Identifiable Information (PII) and internal secrets.

Our AI Data Anonymizer acts as a secure middle-man. You paste your raw data into our offline tool, we automatically mask the sensitive parts, and you paste the safe, anonymized text into the AI.

How This Tool Works

Paste the Data: Paste your unredacted code, JSON, or log files into the input editor.
Local Regex Scanning: The tool uses powerful client-side regular expressions to scan the text for common sensitive patterns (Email addresses, IPv4/IPv6, MAC addresses, API Tokens, Credit Cards, and Phone Numbers).
Masking: It replaces the sensitive values with safe placeholders (e.g., `<email_1>`, `<ip_v4_2>`). Crucially, it maintains a consistent mapping so the AI can still understand the logic flow (e.g., every instance of `user@gmail.com` is replaced with `<email_1>`).
Safe to Share: You copy the sanitized output and safely paste it into ChatGPT without leaking company secrets.

Key Benefits

100% Client-Side Privacy: We cannot anonymize your data if we steal it first! This tool executes strictly in your browser. Disconnect your Wi-Fi, and it will still work perfectly.
Maintains Context: Unlike simple redaction tools that replace everything with `[REDACTED]`, our tool uses numbered placeholders so the LLM can still trace variable assignments and data flow.
Instant Processing: Bypassing the server means the masking process happens instantly, even on large log files.

Common Use Cases

Developers use the Anonymizer to:

Debug Production Logs: Safely ask ChatGPT why an Nginx access log is throwing a 500 error without exposing the real IP addresses of your users.
Share Code Snippets: Post a block of configuration code to StackOverflow without accidentally leaving a hardcoded AWS token inside.
Database Query Optimization: Ask an LLM to optimize a SQL query without exposing real email addresses or credit card formats stored in the test data.

Related Engineering Tools

Protect your workflow with our other browser-based developer utilities:

Frequently Asked Questions

Is my raw data uploaded to your server?: No. The TechAlmirah AI Data Anonymizer processes all text entirely within your local browser. Your data never leaves your machine, making it completely safe for proprietary code and sensitive logs.
What types of PII does it detect?: Currently, the tool detects and masks Email Addresses, IPv4 and IPv6 addresses, MAC addresses, Credit Card numbers, Phone numbers, and common API Tokens (like AWS Keys and JWTs).
Why does it use numbered placeholders like <email_1>?: If we replaced every email with [REDACTED], the AI would lose the context of whether two log lines belong to the same user. By using consistent placeholders (like <email_1>), the AI can track the flow of data without knowing the actual email address.
Does this guarantee 100% anonymization?: No tool can guarantee 100% anonymization. While our regex catches standard formatted PII, it cannot catch custom secrets, hardcoded passwords that look like normal text, or proprietary company names. You should always manually review the output before pasting it into an LLM.