Roman numeral detector

Published on Tue Mar 01 2022

Detects valid Roman numerals (up to 3999), and splits into 4 capture groups: thousands, hundreds, tens, and units.

Additional matching regexes for
Roman numeral detector

Roman numeral detector

Detects valid Roman numerals (up to 3999), and splits into 4 capture groups: thousands, hundreds, tens, and units.

SFTP or FTP url

Parse an SFTP or FTP url and brak it into named capture groups.

grub options matching

Trying to match grub options in capture groups, some of which are known

intl numbers

Good for valid numbers for international currencies - checks for accepted variations for thousands and decimal separators http://docs.oracle.com/cd/E19455-01/806-0169/overview-9/index.html

Split address line into street name and house number

This regular expression splits an address line like for example "1117 Franklin Blvd" into the street name and house number. It also supports addresses where street name and house number are the other way around (e.g. "Mustermannstr. 1"). Furthermore, this regular expression also supports address lines where additional information is given that is neither a street name nor a house number (e.g. "3940 Radio Road, Unit 110", "Pallaswiesenstr. 57 App. 235", "Suite 1500, 802 Docklands Street"). The regular expression has 8 capture groups in total. The first 4 capture groups get used when the house number precedes the street name. The names of these capture groups are prefixed with "A_". If the house number succeeds the street name, the last 4 capture groups are used. These are prefixed with "B_".

North American Phone Number

Validate **North American** **phone numbers** with capture groups for the **Area Code**, **Exchange Code**, **Line Number**, and **Extension**.

IPv6 detection

It's too large to match with all which seems like an IPv6. It's not perfect, but it's detects more valid IPv6 than some others regex.

UUID 4

Detects any UUID 4 strings

Grabify URL Detector

Detects any Grabify IP tracker links

test for binary number divisible by 3

it detects binary numbers divislbe by 3