Texterfly

Text Extractor

Extract text from various formats with ease.

Choose Content Type

What is Text Extractor?

Text Extractor is a tool that helps you extract specific types of content from text. It's useful for data analysis, content organization, and information gathering.

Content Types Explained

  • Emails: Extracts email addresses (e.g., "example@domain.com")
  • URLs: Extracts web addresses (e.g., "https://example.com")
  • Phone Numbers: Extracts phone numbers in various formats
  • Dates: Extracts dates in different formats (e.g., "01/01/2023", "2023-01-01")
  • Numbers: Extracts standalone numbers from text
  • Hashtags: Extracts hashtags from social media content (e.g., "#example")
  • Mentions: Extracts user mentions from social media (e.g., "@username")
  • IP Addresses: Extracts IPv4 addresses (e.g., "192.168.1.1")
  • Credit Cards: Extracts credit card numbers in various formats
  • Postal Codes: Extracts postal/zip codes in various formats
  • Domains: Extracts domain names (e.g., "example.com", "sub.example.com")
  • File Paths: Extracts file and directory paths (e.g., "C:\Users\Documents\file.txt", "/home/user/docs/")
  • HTML Tags: Extracts HTML tags (e.g., "<div>", "<p class='text'>")
  • CSS Selectors: Extracts CSS selectors (e.g., ".class", "#id", "div > p")
  • Hex Colors: Extracts hexadecimal color codes (e.g., "#FF0000", "#F00")
  • MAC Addresses: Extracts MAC addresses (e.g., "00:1A:2B:3C:4D:5E")
  • ISBN: Extracts ISBN numbers (e.g., "978-3-16-148410-0")
  • Crypto Addresses: Extracts cryptocurrency addresses (e.g., "0x742d35Cc6634C0532925a3b844Bc454e4438f44e")
  • Time: Extracts time formats (e.g., "14:30", "2:30 PM")
  • Currencies: Extracts currency values (e.g., "$100.00", "€50,000", "100 USD")

Common Use Cases

  • Extracting contact information from documents
  • Gathering URLs from web content
  • Finding dates in historical documents
  • Analyzing social media content
  • Data mining and information gathering
  • Content organization and categorization
  • Extracting structured data from unstructured text
  • Finding specific patterns in large text documents

Best Practices

  • Choose the appropriate content type for your needs
  • Verify the accuracy of extracted content
  • Use multiple content types for comprehensive extraction
  • Consider privacy when extracting sensitive information
  • Use the copy button to easily save extracted content

Tips and Tricks

  • Combine with other text tools for more complex analysis
  • Use the count feature to track the number of items found
  • Experiment with different text inputs to see various results
  • Use the clear button to start fresh with new text
  • Try different content types to find the most relevant information