One of the best is AI Regex, which converts natural language context into custom regex patterns. It uses machine learning algorithms to analyze data patterns and generate optimized regular expressions. The tool can handle a variety of data types, including text, numbers, dates, and custom patterns, so it's a good option for developers and data analysts who want to avoid errors and save time.
Another good option is Regex.ai, which can be used to automate data extraction tasks by generating and solving regular expressions. It's geared for developers, data analysts and researchers who need to extract specific information from large data sets. It can generate AI-produced regex patterns for specific data extraction tasks and also has a solver feature to refine patterns, so you can be sure you're getting what you want and getting it efficiently.
rgx.tools is another tool worth checking out, using GPT-3.5 Turbo to generate regex patterns from text prompts. It's free to use and generates formatted and readable code, along with examples for common use cases like matching URLs, phone numbers and dates. It's good for developers who want a quick way to automate and maintain regex patterns without having to do the heavy lifting themselves.