Email Extractor

Extract email addresses from text.

Text

The Email Extractor scans any block of text and pulls out all email addresses into a clean, deduplicated list. Whether you are mining contact information from a web page, processing a database export, cleaning up a mailing list, or auditing where email addresses appear in a document, this tool saves you from tedious manual searching. Paste your text, click Extract, and get a unique list of email addresses with a count — ready to copy in one click. All processing runs client-side in your browser, so your text is never uploaded to any server. This makes it safe for sensitive documents, customer data, and proprietary content.

About Email Extractor

Manually finding email addresses in large blocks of text — from web pages, documents, exported data, or email threads — is time-consuming and error-prone. This tool uses a regular expression pattern to identify strings that match standard email address formats (local-part@domain.tld) and returns a deduplicated, sorted list. It handles emails embedded in HTML, CSV, JSON, and plain text. The extraction runs entirely in JavaScript in your browser, meaning your data stays on your device and is never transmitted to any external service. This privacy-first approach makes it suitable for processing customer lists, internal documents, and other sensitive materials.

How to Use Email Extractor

  1. Paste your text into the input box — it can be plain text, HTML, CSV, or any text format.
  2. Click Extract emails. A unique list of found email addresses appears with the total count.
  3. Use Copy all to copy every found email to your clipboard (one per line).
  4. If no emails are found, check that the text contains valid email address formats.

Key Features

  • Extracts all email addresses from any text format (plain text, HTML, CSV, JSON)
  • Automatic deduplication — each email appears only once in the results
  • Shows the total count of unique emails found
  • One-click "Copy all" for easy export to spreadsheets or mailing tools
  • 100% browser-based — your text never leaves your device
  • Handles large text blocks with thousands of emails efficiently

When to Use This Tool

  • Building contact lists from copied web page content or documents
  • Cleaning and deduplicating email lists from database exports
  • Auditing documents for email address exposure (data privacy reviews)
  • Extracting emails from email threads or support ticket exports
  • Processing bulk text data without writing a custom script

Technical Details

The tool uses a regular expression pattern that matches standard email address formats: a local part containing alphanumeric characters and common special characters (., +, -, _), followed by @, followed by a domain with at least one dot. While no regex can perfectly match the full RFC 5322 email specification, the pattern used here covers the vast majority of real-world email addresses. Results are deduplicated using a JavaScript Set and presented in the order they first appear. Processing is O(n) in text length, making it fast even for large inputs.

Conclusion

The Email Extractor is a fast, privacy-respecting tool for pulling email addresses out of any text. With automatic deduplication and one-click copying, it streamlines contact extraction workflows — all running entirely in your browser.

Frequently Asked Questions

Is my text sent to a server?
No. The email extractor runs entirely in your browser. Your text never leaves your device.
What format of emails are detected?
The tool matches standard email formats (local-part@domain.tld). Unusual or technically valid but rare formats may not be detected. It covers the vast majority of real-world email addresses.
Can I extract emails from PDF or Word files?
Copy the text from your document and paste it into the input box. The tool only processes plain text that you paste — it does not read files directly.
Does it remove duplicates?
Yes. The results are automatically deduplicated. Each email address appears only once in the output list, regardless of how many times it occurs in the input text.