local-transformerRuns in your browser

Log Redactor

Mask tokens, credentials, cookies, and personal data in logs before sharing them.

A short guide to Log Redactor

Turn noisy input into a usable artifact.

Mask tokens, credentials, cookies, and personal data in logs before sharing them. Here is the practical way to prepare the input, read the output, and decide what to check next.

01

When to reach for it

Scans text for the supported bearer, credential-assignment, private-key, JWT-shaped, and email patterns, then replaces matches with redaction markers. It is most useful when you are dealing with shareable logs or credential in output. Start with the smallest example that still shows the behavior.

  • Look for shareable logs, credential in output, PII in logs.
  • Reduce the example until one observation can change the result.

02

How to prepare the input

Paste a focused example in application or infrastructure logs. Leave out unrelated noise so the result stays easy to verify.

  • Use the accepted format: application or infrastructure logs.
  • Keep the facts that make the behavior reproducible.
  • Do not treat missing context as a reason to invent an answer.

Example input

Safe sample

2026-08-04 INFO Authorization: Bearer [DEMO_TOKEN]
user.email=person@example.invalid password=[REDACTED_SECRET]
request_id=abc-123

Run this first to see the shape of the result. Then change one meaningful fact and confirm that the output changes with it.

03

How to read the result

Returns the redacted text and the number of supported sensitive patterns found. Read the finding beside the evidence that produced it. The result narrows the next check; it does not claim to have changed your system.

  • Separate the observed fact from the suggested next check.
  • Prefer the smallest reversible experiment that can confirm or reject the finding.
  • Save the output when it belongs in an incident note, review, or handoff.

04

Know the boundary

Cleaning or decoding changes the presentation of the input; it does not repair the underlying system that produced it.

Use the tool

Run it against the evidence.

Paste a focused example below. The result is derived from your input and stays within the privacy boundary shown above.

Runs in your browser. Raw input is not sent to analytics.

At a glance

Accepts application or infrastructure logs. Runs in your browser. The result is evidence from your input, not a change to your systems.