Magic Regex Generator

Magic Regex Generator is an AI-assisted tool that helps developers, data engineers, and data scientists generate, test, and edit regular expression patterns. By describing in plain English what you want to match, you receive AI-generated regex snippets in an editor where you can test and refine them. The tool aims to simplify regex creation, allowing users to focus on meaningful work rather than the intricacies of regex syntax.

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How It Works

1. Describe your pattern in English. Tell the tool what you want to match or exclude (e.g., emails, dates, HTML tags).
2. AI generates regex. The editor suggests a regex snippet based on your description.
3. Test and refine. Use the built-in tester to verify matches, tweak flags (g, m, i, s, u), and iterate until it fits your needs.
4. Copy and implement. Copy the final regex to your codebase or data pipeline.

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Supported Snippet Library

• Common Email Pattern (matches most email addresses)
• HTML Tags (matches HTML tags and attributes)
• Dates (dd-MM-YYYY format)

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Why Use This Tool

• Streamlines regex creation for patterns, extraction, and validation
• AI-generated regex expedites development and reduces accidental syntax errors
• Useful for data processing, validation, and text manipulation tasks

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How to Use Magic Regex Generator

1. Describe the pattern in plain English. For example: "Match valid email addresses" or "Find dates in dd-MM-YYYY format."
2. Review the AI-generated regex in the editor and adjust any required flags (g, m, i, s, u).
3. Test against sample text to ensure it behaves as expected.
4. Copy the final pattern to your project.

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Safety and Limitations

• AI-generated regex may not be suitable for highly sensitive applications; validate thoroughly in production.
• Ensure patterns do not introduce performance issues or security risks in large-scale data processing.

Core Features

• AI-driven regex generation from English descriptions
• Built-in editor to test and iterate patterns
• Support for flags: g, m, i, s, u
• Predefined common snippets (email, HTML tags, dates) for quick reuse
• Easy copy-to-clipboard for integration into codebases
• Focus on rapid pattern discovery while reducing manual trial-and-error