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This online Regex Tester allows you to quickly test, debug, and visualize regular expressions using Javaโs
Pattern
engine. Built with Spring Boot and Thymeleaf, it's perfect for developers working with Java regex.
Regular expressions (regex) are sequences of characters that form search patterns.
They are widely used for input validation, searching, and complex string manipulation.
In Java, regex is powered by the java.util.regex
package.
Choose a pattern from the dropdown or write your own regex, paste your test input, and click Run Test. You'll see both the match results and the equivalent Java code you can use.
Example: Try \\d{3}-\\d{2}-\\d{4}
as a pattern and test it against
123-45-6789
. The tool will highlight the match and generate the corresponding Java code snippet.
Regex is essential for validating input, parsing logs, and text processing. This tool boosts productivity by letting you test and visualize patterns in real-time before integrating into your Java backend.
Instead of trial-and-error inside your Java IDE, you can confirm the correctness of your pattern here and instantly copy the working Java snippet. This saves time and reduces errors in production code.
\\d
โ matches any digit\\w
โ matches letters, digits, or underscore+
โ one or more repetitions*
โ zero or more repetitions?
โ zero or one occurrence(...)
โ capturing group\\.
โ matches a literal dotWith these building blocks, you can create advanced patterns for emails, phone numbers, dates, or custom formats.
import java.util.regex.*;
public class RegexExample {
public static void main(String[] args) {
String input = "Email: test@example.com";
Pattern pattern = Pattern.compile("[a-zA-Z0-9._%+-]+@[a-z0-9.-]+\\.[a-z]{2,}");
Matcher matcher = pattern.matcher(input);
if (matcher.find()) {
System.out.println("Found email: " + matcher.group());
}
}
}
Copy this snippet and replace the regex with your own. The tester below helps ensure your patterns work before pasting them into your Java application.
The tester highlights matching groups and provides clear feedback when your regex is invalid.
This helps you spot missing escapes (\\
) or incorrect quantifiers.
Use this tool to refine complex patterns step by step until they behave as expected.
These real-world scenarios are where regex truly shines in everyday development.
Regex is more powerful than simple wildcards (*
, ?
) or file globs.
While wildcards only match filename patterns, regex can match complex structures like dates, emails, and nested formats.
Example: .*\\.txt
matches all .txt
files but also gives you full control over prefixes/suffixes.
Some regex patterns can be inefficient (catastrophic backtracking). Always test performance with large inputs.
(.+)+
*?
, +?
) when possible^
and $
to reduce scanningThese tips help prevent regex from slowing down or crashing your application.