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EditText.app

Text Extractor — Extract Emails, URLs & Numbers

Extract email addresses, URLs, phone numbers, and numbers from any text. Free pattern extractor — paste and copy matches instantly.

🔒 Your text stays in your browser — nothing is sent to our servers
Text to Extract From
Paste text above to extract patterns
How to Use

Three steps to get started

1

Paste your text

Paste any text containing emails, URLs, phone numbers, or numbers into the input area — documents, web pages, CSVs, or any raw text.

2

Select a pattern type

Choose from Email Addresses, URLs, Numbers, or Phone Numbers tabs. The count for each type is shown on the tab.

3

Copy results

Copy individual items with the per-row button, or use "Copy all" to get the full list as newline-separated text.

About This Tool

Extract structured data from unstructured text

A huge amount of valuable data is trapped in unstructured text: email addresses in a PDF contact list, URLs in a forum thread, phone numbers in a scanned document, prices in a product description. Manually finding and copying these patterns is tedious and error-prone.

This tool uses carefully crafted regular expressions to automatically find and extract each pattern type, saving you significant manual effort when dealing with large texts.

Common applications

  • Marketing — extract email addresses from an exported contact list or newsletter archive
  • Web scraping — pull all links from pasted HTML source code
  • Data cleaning — isolate numeric values from mixed text for spreadsheet import
  • Sales — collect phone numbers from a CRM export or business directory
  • Research — extract citations (URLs) from a research paper or web article
  • Development — find all API endpoints (URLs) mentioned in documentation

All extraction runs in your browser. No data is ever sent to a server.

FAQ

Frequently Asked Questions

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