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Trace / Correlation ID Extractor

Scan pasted text or logs and extract likely trace, request, and correlation identifiers.

What is Trace / Correlation ID Extractor?

Find common trace, request and correlation identifiers in copied log text. A matching string is a navigation aid; it does not establish parent/child spans or prove that two failures share one cause.

How to use Trace / Correlation ID Extractor?

Step 1

Paste log text, headers, or free-form debugging notes.

Step 2

Run extraction to identify likely unique IDs.

Step 3

Review the deduplicated results and copy the ones you need.

Example input / output

A log excerpt containing requestId=demo-42 can be matched with an HTTP response's X-Request-ID. Keep timestamps and service names alongside the identifier in the incident note.

Example input

requestId=4f5d1e2a-3b44-4d65-9872-0ff13c1fa221 traceparent=00-4bf92f3577b34da6a3ce929d0e0e4736-00f067aa0ba902b7-00 correlationId=01H8XW1ST0G43A3K8T2VSPT8SB

Check the result

  • Custom internal ID formats may not match the built-in patterns.
  • Very short identifiers can be filtered out intentionally to reduce false positives.

Practical developer examples

Check identifier scope

Some IDs belong to a single request, others to an entire workflow. Confirm where your gateway and services create and forward them.

Handle naming differences

trace_id, traceId and traceparent are different formats. Verify extracted values against the original line rather than treating every token as a standard trace ID.

Common developer use cases

Only recognized textual patterns are extracted. Missing results can indicate another logging format, not absence of tracing.

Common issues

Custom internal ID formats may not match the built-in patterns.
Very short identifiers can be filtered out intentionally to reduce false positives.

FAQ

Can this reconstruct a distributed trace?

No. Use an observability backend for span relationships, timings and sampling context.

Can I share an extracted ID?

Review its sensitivity and surrounding metadata first; IDs can identify internal operations.