Data Engineering
Regex Tester
Enter a regex pattern and test string to see all matches highlighted with capture group extraction. Includes a data engineering pattern library for common formats.
No data is transmitted — everything runs locallyTool
About this tool
Regex Tester
The Regex Tester evaluates regular expressions against test input with match highlighting, capture group extraction, and a data engineering pattern library.
• Test a log parsing regex before adding it to a Spark or Pandas pipeline
• Extract structured fields from unstructured log data with named capture groups
• Validate an email or UUID regex pattern against a sample of real data
• Debug a regex replacement with backreference preview
Next step
JSONPath Tester — Test JSONPath expressions against a JSON document with real-time results.
Open JSONPath Tester →
FAQ
What does this tool tell you?
The Regex Tester evaluates regular expressions against test input with match highlighting, capture group extraction, and a data engineering pattern library.
What affects the result most?
Tests JavaScript-compatible regex against multi-line input with real-time match highlighting. Capture group extraction: named and numbered groups shown as a structured table. Data engineering pattern library: email, phone, IP address, UUID, ISO date, semantic version, credit card (detection only).
How should I use the result?
Use the result as a planning baseline. It is generated from the inputs you provide, so varying the inputs shows you the sensitivity of the calculation. Your actual situation may include factors this tool does not model; treat the output as one input to your decision.
Related tools