How Redactorr Came to Be

It started with a simple observation.

A small tech team. Big client base. Tight deadlines. When something broke in production, developers needed answers fast. So they started copying server logs into ChatGPT and Claude to debug issues.

It worked. The AI understood the context, spotted the patterns, and helped solve problems in minutes instead of hours.

But there was a catch: those logs contained sensitive data. Customer emails. API keys. Internal hostnames. Session tokens.

The informal rule became: “Just make sure there are no passwords or secrets before you paste.”

That's not a security policy. That's a gamble.

We went looking for tools that could help. What we found was either:

• •Enterprise solutions that cost more than the entire team's software budget
• •Complex systems with multiple moving pieces, training requirements, and IT overhead
• •AI-based tools that required sending data to yet another third party

None of it fit. We needed something simple, fast, and trustworthy.

Then it clicked:

AI doesn't need to see your sensitive data. It just needs to understand the context.

A log file with user@email.com replaced by [EMAIL_1] is just as useful for debugging. A support ticket with the customer's name replaced by [PERSON_1] still makes sense to the AI.

The problem wasn't AI. The problem was sending raw data to AI.

Redactorr detects and masks sensitive information before it leaves your browser.

• ✓No uploads. Your data never touches our servers.
• ✓No AI training. Nothing gets sent anywhere.
• ✓Works offline. Once loaded, it runs entirely on your device.

You can verify this yourself. Open DevTools. Watch the Network tab. Paste sensitive data. You'll see zero outbound requests.

We built the tool we needed. Now we're sharing it with everyone who faces the same problem—developers, lawyers, healthcare workers, customer support teams, anyone who wants to use AI without risking a data breach.