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Find All Email Addresses in Your Text Extract all email addresses from text and list unique results.

Email Extractor illustration
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Email Extractor

Extract all email addresses from text and list unique results.

1

Paste Text

Paste text containing email addresses.

2

Review Extracted Emails

All email addresses are found and listed.

3

Copy Email List

Copy the unique list of extracted emails.

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What Is Email Extractor?

A Email Extractor is a text processing tool that scans input strings to find and extract email addresses in a structured format. Developers and data analysts use it to quickly identify and collect contact information from unstructured text data, such as documents, web pages, or user feedback. One specific problem it solves is the tedious manual process of searching for emails in large blocks of text, which can lead to errors and omissions.

The tool uses a regular expression pattern with a character class that matches alphanumeric characters, dots, hyphens, underscores, and plus signs in the local part of an email address, as well as multi-level domain names. This allows it to accurately identify most common email formats and extract them from the input text. What makes this implementation different is its ability to remove duplicate emails using a Set data structure, ensuring that each extracted email address appears only once in the output list.

When you use the tool to extract emails online free, it processes the input text and returns a clean list of unique email addresses, making it easier to find emails in text and build contact lists. This is particularly useful for tasks like extracting contact information from user feedback or building email lists from web pages. The extracted emails can then be used for various purposes, such as sending newsletters or follow-up messages, and the tool's output format makes it easy to copy and paste the list into other applications.

Why Use Email Extractor?

  • Extract email addresses from documents and web content
  • Automatic deduplication of found emails
  • Handles complex email formats with subdomains
  • Quick extraction from large text blocks

Common Use Cases

Contact List Building

Extract email addresses from documents or web content.

Data Mining

Pull emails from text dumps or log files.

Content Analysis

Find all email references in articles or reports.

Compliance

Identify email addresses in text for data privacy audits.

Technical Guide

The Email Extractor tool relies on a regular expression pattern to identify email addresses within input strings, using React's useCallback hook to memoize the processing function and prevent unnecessary re-renders. This regex pattern, /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/g, is designed to match most common email address formats by allowing alphanumeric characters, dots, hyphens, underscores, and plus signs in the local part, as well as multi-level domain names. When a match is found, JavaScript's String.prototype.match method returns an array of matches, which can then be processed further.

To remove duplicate emails from this array, the tool uses a Set data structure, specifically the spread operator [...new Set(matches)], to create a new array containing only unique email addresses while preserving their original order. This deduplication step is crucial for ensuring that each extracted email address appears only once in the output list. The count of unique emails is then displayed in the output header using template literals, providing users with a clear indication of how many email addresses were extracted from the input text. Under the hood, the tool utilizes React's TextToolLayout component to handle user input and display the extracted emails in a clean and readable format.

In terms of browser APIs, the Email Extractor does not rely on any specific external libraries or frameworks beyond what is provided by React and JavaScript itself. The use of TypeScript, as indicated by the .tsx file extension, provides additional type safety and helps catch errors at compile-time rather than runtime. By combining these technologies and techniques, the tool is able to efficiently extract email addresses from input strings and display them in a user-friendly format, making it easier for developers and data analysts to work with unstructured text data. The output of the tool is a plain text list of unique email addresses, one per line, which can be easily copied and pasted into other applications or used for further processing.

Tips & Best Practices

  • 1
    Duplicates are automatically removed from the results
  • 2
    Works with emails containing + tags (like user+tag@domain.com)
  • 3
    Handles multi-level subdomains (user@mail.company.co.uk)
  • 4
    The count shows unique emails found

Related Tools

Frequently Asked Questions

Q What email formats does the email extractor find?
It matches standard email formats. Very unusual formats (with quoted local parts) may not be matched.
Q Are duplicate emails removed?
Yes, each unique email address appears only once in the output.
Q Does the email extractor validate addresses?
It checks the format but does not verify that email addresses actually exist or are deliverable.
Q Can the email extractor pull addresses from HTML source?
Yes, it searches the entire input text regardless of format, including within HTML tags.
Q Does the email extractor support international characters?
Standard ASCII email characters are matched. Internationalized email addresses may not be fully captured.

About This Tool

Email Extractor is a free online tool by FreeToolkit.ai. All processing happens directly in your browser — your data never leaves your device. No registration or installation required.