AutoRegex

AutoRegex is a developer tool that turns plain English into regex patterns with AI. AutoRegex converts plain English instructions into regular expressions using AI. A minimal two panel web tool for drafting regex patterns without memorizing syntax, with a caution to verify outputs before use.

AutoRegex is a web tool that translates written English descriptions into regular expressions. The homepage presents a two panel layout: one side accepts an English sentence such as "a string that starts with a letter and ends with a digit," and the other returns the corresponding regex pattern. The conversion is powered by natural language processing, so users do not need to memorize metacharacters or build expressions character by character. The generated pattern appears immediately and can be copied into code, a text editor, or a search field. The tool is aimed at developers, data analysts, and anyone who occasionally writes regex but does not do it often enough to recall the exact syntax. It is also useful for people who understand a matching rule in words but struggle to translate it into a formal pattern. The workflow is intentionally minimal: type the rule, press GO, and review the output. There is no visible project management, pattern library, or debugging view on the homepage. In practice, AutoRegex fits between hand written regex and full regex testers. Testers help you verify a pattern you already have, while AutoRegex helps you create one from a description. That makes it a quick drafting aid rather than a complete regex environment. The site itself cautions users to verify outputs before use, which is important because generated patterns can be subtly wrong for edge cases. Alternatives include general purpose AI chat assistants that can also write regex, and dedicated regex testers that focus on validation rather than generation. AutoRegex keeps the task narrow and the interface fast, which is its main advantage. The homepage does not state pricing, platform availability beyond the web, or integration options, so those details should be confirmed before relying on the tool in a production workflow.