One is Regex.ai, an AI-powered information retrieval system that can automate data extraction jobs by constructing and solving regular expressions. It's a powerful tool for constructing and managing regular expressions, letting you match, find and manipulate text. Regex.ai constructs and debugs regular expressions, which can be a time-consuming and error-prone process, and has documentation to help you learn about regex building blocks.
Another good option is MonkeyLearn, a no-code text analytics tool that lets you clean, label and visualize customer feedback with artificial intelligence. It comes with prebuilt and custom machine learning models for text classification and data extraction, and integrates with many apps and business intelligence tools. With MonkeyLearn, you can automate text analysis and take control of your data without having to write any code, making it a good option for business intelligence and data visualization.
For a more direct and simple approach, AI Regex is an AI-powered tool that turns natural language context into custom regex patterns. It can handle a wide variety of data types and formats and can learn from feedback and examples to improve its performance. The tool can help developers and data analysts save time and reduce errors, since generated expressions are tested and validated for accuracy and reliability.