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Text Extraction

Extract text fragments based on patterns, delimiters, or from markup formats. All processing happens locally in your browser.

Extract text using regular expressions. Use the pattern field to specify what to extract.
g: global, i: case-insensitive, m: multiline, s: dotall

How to Use the Text Extraction Tool

Regular Expression Extraction

  1. Select the "RegExp" extraction method
  2. Enter or paste your text in the input area
  3. Specify a regular expression pattern (e.g., \w+ for words)
  4. Set appropriate flags (e.g., g for global, i for case-insensitive)
  5. The tool will extract all matching patterns from your text

Between Delimiters Extraction

  1. Select the "Between Delimiters" extraction method
  2. Enter or paste your text in the input area
  3. Specify the start delimiter (e.g., <)
  4. Specify the end delimiter (e.g., >)
  5. The tool will extract all text found between these delimiters

HTML, XML, and JSON Extraction

  1. Select the appropriate format (HTML, XML, or JSON)
  2. Enter or paste your formatted text in the input area
  3. For HTML and XML: The tool will extract plain text by removing all tags
  4. For JSON: The tool will extract all text values from the JSON structure
  5. View the extracted text in the output area

Tip: For complex regular expressions, you might want to test them in a dedicated regex tester first.

About Text Extraction

Text extraction is the process of identifying and pulling out specific information from a larger body of text. This is particularly useful when working with structured or semi-structured data, where you need to isolate certain patterns or content.

Common use cases for text extraction include:

  • Extracting email addresses, phone numbers, or URLs from documents
  • Pulling content from between HTML or XML tags
  • Isolating specific data fields from JSON responses
  • Extracting text between specific delimiters in log files
  • Mining text data for analysis or processing

Our Text Extraction tool provides multiple methods to handle different extraction needs:

  • Regular Expressions - For pattern-based extraction with powerful matching capabilities
  • Between Delimiters - For simple extraction of text between specific markers
  • HTML/XML/JSON - For extracting plain text from common markup and data formats

Whether you're a developer working with APIs, a data analyst processing text data, or just need to extract specific information from a document, this tool provides a simple way to accomplish your text extraction tasks.