RGX Tools

RGX Tools is a developer tool. An AI regex generator that accepts a plain English description of what you want to match and returns an expression with a code example, targeting JavaScript, Python, Java, C#, Ruby, PHP, Go, Rust, Kotlin, Swift or SED.

RGX Tools is a browser based regex generator that turns a plain language description of a pattern into a working regular expression. The homepage frames the problem bluntly: people are bad at writing regex by hand, and the results are hard to read and hard to maintain. The tool puts an AI model in front of that chore. You type what you want to match or extract, such as a URL with an http or https protocol, a date in MM/DD/YYYY format, or a password requiring at least eight characters with mixed case and a digit, and the service returns an expression plus a code example. The output is aimed at a specific language rather than being a generic one size fits all string. A selector on the page lists JavaScript, Python, Java, C#, Ruby, PHP, Go, Rust, Kotlin, Swift and SED, so the generated regex and its surrounding example are presented in the syntax and conventions of whichever target you pick. A code panel below the input shows the result, and an empty state placeholder appears until a pattern has been generated. Under the hood the interface is a wrapper around OpenAI's gpt-3.5-chat model, as the page states directly. That matters for expectations: this is a prompt layer over a general purpose language model rather than a purpose built regex engine, so accuracy depends on how clearly the requirement is phrased. The site also ships a set of one click examples, covering phone numbers, email validation, hexadecimal colour codes, social security numbers and finding every occurrence of a word in a body of text, which double as a way to see the typical output quality before writing your own prompt. It suits developers who reach for regex occasionally and do not want to reconstruct the syntax each time, plus anyone reviewing a pattern someone else wrote. The value is speed of first draft. For complex, nested or performance sensitive expressions, the result still needs testing against real input before it goes into production code.