RegExr

Enter a regex pattern for email validation (e.g., `^[\w-\.]+@([\w-]+\.)+[\w-]{2,4}$`) into the 'Expression' field.

Input various email addresses into the 'Text' field.

Observe which email addresses are flagged as matches, indicating valid formats.

Adjust the regex pattern as needed to refine the validation criteria.

Enter a regex pattern for phone number extraction (e.g., `\d{3}-\d{3}-\d{4}`) into the 'Expression' field.

Paste the text containing phone numbers into the 'Text' field.

Review the matches highlighted in the text, representing the extracted phone numbers.

Use the 'Tools' panel to list or replace the extracted numbers.

Enter a regex pattern to match specific log entries (e.g., `ERROR:\s.*`) into the 'Expression' field.

Paste the content of the log file into the 'Text' field.

Examine the matches to identify error messages or relevant events.

Use capture groups to extract relevant data from the log entries.

Enter a regex pattern to match the target text format (e.g., `(\d{4})-(\d{2})-(\d{2})`) into the 'Expression' field.

Use the replace tool to transform data.

Use capture groups to reformat the matched text as desired (e.g., `$2/$3/$1`).

Apply the replacement to format the text data according to the new pattern.

Enter a regex pattern that describes the allowed data format (e.g., `^[A-Z]{2}\d{3}$`) into the 'Expression' field.

Input various data strings into the 'Text' field.

Observe which strings match the pattern, indicating valid data.

Add tests to ensure different validation needs are met.

Enter a regular expression designed to find URLs (e.g., `https?:\/\/(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*)`) in the 'Expression' field.

Copy and paste the body of text into the 'Text' input area.

Examine the highlighted matches which will show the extracted URLs.

Export URLs as needed.