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Text Pattern Stats

Statistics and frequency analysis of text patterns (numbers, emails, URLs, etc.)

Required when "Custom Regex" is selected. Can include flags like /pattern/gi

Key Facts

Category
Text Processing
Input Types
textarea, select, text, checkbox, number
Output Type
json
Sample Coverage
4
API Ready
Yes

Overview

Text Pattern Stats is a utility tool that performs frequency analysis on text to identify and count patterns such as numbers, email addresses, URLs, and more. It helps users extract statistical insights from unstructured text data quickly and accurately.

When to Use

  • •When you need to count occurrences of specific patterns like numbers or emails in a large text document.
  • •When analyzing logs, reports, or datasets to find common elements such as phone numbers or dates.
  • •When preparing text data for further processing by extracting structured information based on patterns.

How It Works

  • •Input your text into the text area provided.
  • •Select a pattern type from the dropdown, such as numbers, emails, or URLs, or choose 'Custom Regex' to define your own.
  • •Configure optional settings like case sensitivity, show distribution, and maximum results.
  • •The tool scans the text and returns a JSON output with statistics, including frequency counts and distribution details if enabled.

Use Cases

Extracting all email addresses from customer feedback forms for contact list generation.
Counting the number of URLs in web scraping data to analyze link density.
Analyzing a document to find and tally all dates mentioned for timeline or event tracking.

Examples

1. Extracting Numbers from Financial Reports

Financial Analyst
Background
A financial analyst has a text-based report with scattered numerical data on revenues and expenses.
Problem
Need to quickly identify and count all numerical values to summarize financial metrics without manual review.
How to Use
Paste the report text into the text input, select 'Numbers' as the pattern type, and set max results to 200.
Outcome
The tool returns a JSON list of all numbers with their frequencies, enabling efficient data aggregation for analysis.

2. Auditing Email Addresses in Server Logs

System Administrator
Background
Server logs contain entries with email addresses from user activities and notifications.
Problem
Need to find all unique email addresses for security auditing and compliance checks.
How to Use
Input the log text, choose 'Email Addresses' as the pattern type, and enable case sensitivity if required.
Outcome
A JSON output with all email addresses and their occurrence counts, facilitating quick audit and monitoring.

3. Custom Pattern Search in Code Documentation

Software Developer
Background
A developer has documentation with code snippets and function names.
Problem
Want to find all instances of a custom pattern, such as function names starting with 'get', for code review.
How to Use
Paste the documentation text, select 'Custom Regex', and enter the pattern '\bget\w*\b' in the custom regex field.
Outcome
The tool identifies and counts all matches, providing insights into code usage and helping with refactoring decisions.

Try with Samples

text, regex
Regex Pattern Alternatives
Multiple ways to write the same regex pattern with different trade-offs in readability, performance, and accuracy
title token pattern
regex
Regex Named Capture Groups
Collection of regex patterns using named capture groups for extracting structured data from text. Named groups make patterns more readable and maintainable by assigning meaningful names to captured portions.
preferred input family regex
regex
Regex Replace Samples
Collection of common and useful regex replacement patterns for text transformation and data cleaning
preferred input family regex
regex
Web String Processing TypeScript Samples
Web TypeScript string processing examples including string manipulation, pattern matching, and text transformation
preferred input family regex
regex

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FAQ

What pattern types are supported?

Numbers, uppercase words, capitalized words, email addresses, URLs, phone numbers, dates, and custom regex patterns.

Can I use my own regex pattern?

Yes, select 'Custom Regex' from the pattern type dropdown and enter your pattern in the custom regex field.

What does the 'Show Distribution' option do?

It includes a frequency distribution chart in the JSON results, showing how often each pattern appears in the text.

Is there a limit to the text length or number of results?

The tool can handle large texts, but you can set a maximum number of results (10 to 500) to control output size and performance.

How are the results formatted?

Results are returned in JSON format, detailing each pattern found, its count, and distribution if enabled.

API Documentation

Request Endpoint

POST /en/api/tools/text-pattern-stats

Request Parameters

Parameter Name Type Required Description
textInput textarea Yes -
patternType select Yes -
customPattern text No Required when "Custom Regex" is selected. Can include flags like /pattern/gi
caseSensitive checkbox No -
showDistribution checkbox No -
maxResults number No -

Response Format

{
  "key": {...},
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
JSON Data: JSON Data

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-text-pattern-stats": {
      "name": "text-pattern-stats",
      "description": "Statistics and frequency analysis of text patterns (numbers, emails, URLs, etc.)",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=text-pattern-stats",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]