Regex.ai

Regex.ai

Regex.ai builds regular expressions from highlighted text samples in your browser. You paste a block of text, drag the cursor to mark the strings you want to match, and the site returns candidate regex patterns instead of making you write them by hand. It turns messy real-world strings into reusable search patterns for log parsing, data cleanup, and validation scripts in automation workflows.

Most regex generators ask you to describe the pattern in words or pick from templates. Regex.ai runs four separate agents on the same highlights, each with a different strategy: Agent A generalizes like a human would, Agent B finds a pattern from highlights and surrounding text, Agent C handles adjacent single characters, and Agent D focuses on character counts and types. You compare four outputs side by side and pick the one that fits your data.

The tool is built for developers, data analysts, and QA engineers who hit regex walls during extraction or validation work. Paste sample rows from a CSV, log file, or email list, highlight the parts that repeat, and walk away with a pattern you can drop into Python, JavaScript, or your ETL pipeline. A built-in documentation section covers metacharacters and special sequences for anyone still learning regex syntax.

Top Features:
  1. Four agents (A through D) each return a different regex pattern from the same highlighted text

  2. Paste up to 4,000 characters of sample text and highlight multiple strings with a drag cursor

  3. Agent B returns lookbehind patterns like (?<=\s)\w+@\w+.(?:com|net) for .com and .net email matching

  4. Agent D adds broader matches such as \w+@\w+.(?:com|net) that include addresses like [email protected]

  5. Built-in documentation page lists 11 metacharacters and 12 special sequences with worked examples

  6. Discord community at discord.com/invite/AZPWnBUGmP linked from the about page for regex help

Pros:
  1. Four agent outputs let you compare different valid patterns for the same highlights

  2. Drag-to-highlight interface is faster than writing regex from scratch for unfamiliar data

  3. No account or signup required to run the solver

  4. Documentation page covers metacharacters and special sequences with examples

  5. Free with no listed usage caps or paid tiers on the site

Cons:
  1. Sample text is capped at 4,000 characters per run

  2. No API or batch mode for processing large files outside the browser

  3. Four agents can return overlapping patterns, so you still need to pick the best fit

  4. Browser-only tool with no desktop or CLI version listed

FAQs:

Is Regex.ai free to use?

Yes, Regex.ai is free. The site has no pricing page or paid tier listed, and you can paste text and run the regex solver without creating an account.

How does Regex.ai generate regex patterns?

Regex.ai analyzes the text block you paste and the strings you highlight with the cursor. It then runs four agents that each propose a different regular expression pattern matched to your selections.

What are the four Regex.ai agents?

Regex.ai uses Agent A to generalize highlights like a human, Agent B to find a pattern from highlights and surrounding text, Agent C for adjacent single characters, and Agent D for character counts and types.

What is the text limit on Regex.ai?

Regex.ai accepts sample text up to 4,000 characters in the input field. The interface shows a character counter so you can see how much space remains as you paste.

Does Regex.ai require an account?

No account is required to use Regex.ai. You open the site, paste your text, highlight the strings you want to match, and click Run to see pattern suggestions from all four agents.

Does Regex.ai include regex learning resources?

Yes, Regex.ai has a documentation page that explains metacharacters like [], \d, and {}, plus special sequences such as \b and \w with examples. It is linked from the main navigation.

Category:

Pricing:

Free

Tags:

Regex Generator
Pattern Matching
Data Extraction
Text Highlighting
Developer Tool
Log Parsing
Regular Expression Solver
User-Friendly Interface

Tech used:

Next.js
Ant Design
Vercel
Google Cloud
Google Tag Manager
Vercel Analytics
Google Fonts
Ruby
Webpack
Styled Components

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