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RGX Tools

RGX Tools - Automate regex writing with our AI-powered tool.

RGX Tools Details

RGX Tools Info

Organization:
RGX Tools
Type:
  1. AI Companies
Marked As:
SFW (Safe for Work)
Platform:
  1. Website
Pricing:
  1. Free
From $0
Rating:
4
(27 Likes)

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AI Powered Text to Regex, also known as rgx.tools, is an AI-assisted regular expressions (regex) generator and editor. Harnessing the capabilities of OpenAI’s gpt-3.5-chat, this tool simplifies the creation of efficient and readable regexes.

With its user-friendly interface, rgx.tools allows users to specify the desired pattern, prompting the tool to generate the corresponding regex. This regex can be applied in various scenarios, such as matching URLs with HTTP/HTTPS protocols, identifying phone numbers, dates in specific formats, or validating email addresses, passwords, or social security numbers. Additionally, it aids in finding all instances of a given word within a text.

Unlike the manual creation of regex, which can be complex and error-prone, rgx.tools offers a streamlined and understandable approach. It minimizes the intricacies associated with regex creation, making the process more accessible to users.

Moreover, rgx.tools goes beyond mere generation by providing users with code examples, facilitating comprehension and utilization of the output regex. Developed by Amir Mendelson, this tool is freely available for use, empowering users to effortlessly create and implement regex patterns.

More details about RGX Tools

Is rgx.tools free to use?

Absolutely. rgx.tools is completely free for all users.

Can rgx.tools find all phone numbers in a text?

Indeed. rgx.tools has the capability to locate and extract all occurrences of phone numbers within a given text.

Can I match a date in a specific format using rgx.tools?

Certainly. rgx.tools allows users to specify a particular date format and generate a regex pattern to match dates in that format.

Can rgx.tools help in finding all instances of a word in a text?

Absolutely. rgx.tools assists users in identifying and extracting all occurrences of a specified word within a text.

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