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Regex Pattern Matcher

Extract data from text using regex patterns. See every match, every capture group, and every position in a clear, structured output.

Match Pattern

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Extract Structured Data from Unstructured Text

Raw text data is everywhere: log files, CSV exports, HTML source, email headers, server outputs. The information you need is buried in that text, following a pattern you can describe but not easily pull out with basic string operations. Regular expressions give you the precision to describe those patterns, and a pattern matcher shows you exactly what gets extracted so you can validate your approach before writing code.

Our pattern matcher goes beyond simple match/no-match testing. It displays every match found in your text along with its position, length, and any capture group contents. If your pattern has named groups, those names appear in the output. If you have nested groups, the hierarchy is shown. This detailed breakdown turns regex from a black box into a transparent tool you can understand and trust.

Use it to prototype data extraction pipelines, validate parsing patterns, or troubleshoot extraction logic that is not pulling the right data. Paste a sample log file, write a pattern to extract timestamps and error codes, and see immediately whether your groups capture what you expect. When the output looks right, translate the pattern into your language of choice.

Detailed Pattern Matching

See exactly what your regex captures

All Matches Listed

Every match in your text is listed with its position, length, and full match text.

Capture Group Breakdown

Named and numbered groups are displayed with their individual captured content.

Match Highlighting

Matches and groups are highlighted in the source text with distinct colors.

Position Information

Start and end indices for every match and group, useful for text manipulation code.

Export Results

Copy match results as JSON, CSV, or a formatted table for further processing.

Pattern Library

Common patterns for emails, URLs, dates, IPs, and more to use as starting points.

How to Match and Extract

Structured output from raw text

1

Enter Pattern and Text

Write your regex pattern and paste the text you want to extract data from.

2

Review Matches

See all matches highlighted with capture group breakdowns and positions.

3

Export Results

Copy the extracted data as JSON, CSV, or a structured table.

When You Need Pattern Matching

Extracting timestamps and error codes from server logs
Parsing email addresses and phone numbers from text
Pulling URLs and links from HTML or markdown content
Extracting structured fields from semi-structured data
Validating and testing data extraction patterns before coding
Prototyping text processing pipelines for ETL workflows

Pattern Matcher FAQ

Match and Extract Data Now

Structured output from any text

Open Pattern Matcher

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