Email Extractor — Extract Email Addresses from Any Text

📧

Contact Lists

Extract from text dumps

📄

Documents

Parse PDFs & reports

</>

HTML Source

Pull from web pages

📊

Spreadsheets

Clean CSV exports

Input Text

How It Works

1

Paste Your Content

Paste any text containing email addresses — raw text, HTML source, CSV data, log files, or entire documents. There's no length limit.

2

Extract & Filter

Click Extract to find every email address. Toggle duplicate removal and sorting to clean up the results exactly how you need them.

3

Copy or Download

Copy individual emails, copy all at once, export as CSV, or download as a plain text file. Your data never leaves your browser.

Best Practices

✅ Do

Use Remove Duplicates to clean up messy data sources
Sort results alphabetically for easier scanning and comparison
Verify extracted emails before using them in campaigns
Use Download TXT to save results for later processing
Copy as CSV for direct import into spreadsheets or CRMs

❌ Don't

Use extracted emails for unsolicited marketing without consent
Assume all extracted addresses are still active or valid
Scrape emails from websites without checking their terms of service
Skip verification — invalid addresses hurt email deliverability
Ignore privacy regulations like GDPR, CAN-SPAM, and CCPA

What Is Email Extraction?

Email extraction is the process of scanning unstructured text to identify and pull out email addresses. Whether you're processing a messy CSV export, parsing HTML source code, cleaning up a contact list, or pulling addresses from a document, an email extractor saves hours of manual work by finding every valid email address pattern in your input automatically.

How the Extraction Works

This tool uses a regular expression pattern to identify strings that match the standard email address format: a local part (letters, numbers, dots, hyphens, underscores, plus signs), followed by the @ symbol, followed by a domain name with one or more dot-separated segments. The pattern supports all common TLD lengths, including two-letter country codes (.uk, .de), standard TLDs (.com, .org), and newer long TLDs (.online, .museum, .photography). The regex runs entirely in your browser using JavaScript — no server processing is involved.

Common Use Cases

Email extraction is useful in many real-world scenarios. Marketing teams extract addresses from exported contact databases or CRM dumps. Developers parse log files or application data for email references. Recruiters pull contact information from resume collections. Researchers extract participant emails from survey responses. IT administrators identify email addresses in configuration files or audit logs. In each case, the core task is the same: find every email address in a block of text, remove duplicates, and export the clean list.

Duplicate Handling

Real-world data often contains the same email address multiple times — sometimes with different capitalization. This tool's deduplication is case-insensitive: "[email protected]" and "[email protected]" are recognized as the same address. When duplicates are removed, the tool keeps the first occurrence's original capitalization and discards the rest. The summary line shows how many duplicates were removed so you can see how much cleanup was done.

Privacy and Security

This tool runs entirely in your browser. Your text — which may contain sensitive contact information — is never sent to our servers, stored in any database, or shared with any third party. The extraction, deduplication, and sorting all happen locally using JavaScript. You can verify this by checking the Network tab in your browser's developer tools. The tool works fully offline once the page has loaded. This makes it safe for processing confidential documents, internal contact lists, and sensitive data.

Ethical Use

Email addresses are personal data protected by privacy laws in most jurisdictions, including GDPR (EU), CAN-SPAM (US), CASL (Canada), and CCPA (California). Extracting emails from public sources is generally legal, but using them for unsolicited marketing without consent can violate these laws and damage your sender reputation. Always verify that you have the right to contact the people whose addresses you extract, and provide clear opt-out mechanisms in any communications.

Frequently Asked Questions

What types of text does it work with?

The extractor works with any text that contains email addresses — plain text, HTML source code, CSV files, log files, email headers, spreadsheet exports, contact lists, or even entire web pages. Just paste the content and click Extract.

Does it catch all email formats?

The tool uses a robust regex pattern that matches standard email formats including addresses with dots, hyphens, underscores, and plus signs in the local part, and domain names with any valid TLD length (including .com, .co.uk, .museum, .online, etc.). Extremely unusual or non-standard formats may not be matched.

Is my data private?

When you paste text directly, the entire extraction runs in your browser — nothing is sent anywhere. When you use the "Fetch from URL" mode, only the URL is sent to our proxy server to retrieve the page. The page content is returned to your browser where emails are extracted locally. We do not store, log, or share any fetched content or extracted emails.

Is there a text length limit?

There is no hard limit imposed by the tool. It can process very large text inputs — thousands of lines or entire documents. Performance depends on your browser, but modern browsers handle millions of characters without issues.

How does duplicate removal work?

When "Remove duplicates" is enabled (the default), the tool compares emails case-insensitively — so "[email protected]" and "[email protected]" are treated as the same address. It keeps the first occurrence's original casing and removes subsequent duplicates.

Related Tools

@

Need to Extract Emails?

Paste your text, click Extract, and get a clean list of every email address — deduplicated, sorted, and ready to copy or download. No account, no tracking.

✨ Extract Now Browse All Tools →