Email Extractor

Extract all email addresses from text or HTML content, automatically detect standard email formats and remove duplicates for a clean list.

Text or HTML Content

Remove duplicate emails

Result

Please check your inputs.

📖 How to Use This Tool

Paste or type your text or HTML content into the input box. This could be an email body, a webpage source, or a list of contacts.

Click the 'Extract Emails' button. The tool will automatically scan the entire content for standard email patterns (e.g., [email protected]).

Review the extracted email addresses displayed in the results area. Duplicates are removed automatically, giving you a clean, unique list.

Copy the list to your clipboard or download it as a CSV file for easy use in your email marketing software or CRM.

📝 What Is Email Extractor?

An Email Extractor is a web tool that scans text or HTML content to find and collect all valid email addresses. It uses pattern recognition to identify standard email formats such as [email protected], while ignoring invalid or malformed entries. Once extracted, the tool automatically removes duplicates, saving you time and ensuring a clean dataset.

This matters because manual email collection is error-prone and time-consuming. Whether you are a marketer building a mailing list, a recruiter sourcing candidates, or a researcher analyzing contact data, an email extractor helps you gather accurate information quickly. It also eliminates the risk of mixing up similar addresses or missing emails buried in long documents. For educators and students, it simplifies data extraction tasks in projects involving large text corpora or web scraping exercises.

🧮 Formula

The Email Extractor uses a regular expression (regex) pattern to match standard email addresses:

**Pattern:** `[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}` **Explanation:** - `[a-zA-Z0-9._%+-]+` matches the local part (username) — letters, digits, dots, underscores, percent, plus, and hyphen. - `@` matches the literal 'at' symbol. - `[a-zA-Z0-9.-]+` matches the domain name — letters, digits, dots, and hyphens. - `\.` matches the dot before the TLD. - `[a-zA-Z]{2,}` matches the top-level domain (like .com, .org, .edu) with at least two letters. After matching, the tool stores all found emails in a set data structure to automatically discard duplicates, then outputs the unique list.

💡 Tips for Best Results

✨🔍 Always clean your input content first — remove unnecessary line breaks or special characters to improve extraction accuracy.

✨📁 Use the CSV download option to save your list directly into a spreadsheet for further sorting or filtering.

✨🚫 If you extract from HTML, check for 'mailto:' links — the tool captures both plain text emails and those in link attributes.

✨📋 Copy the result to your clipboard quickly by using the 'Copy All' button to paste into your email client or CRM.

❓ Frequently Asked Questions

Can this tool extract emails from a PDF or image?

No, this tool works only with text and HTML content. To extract emails from PDFs or images, you would first need to convert them to plain text using OCR software, then paste the text here.

Will it catch international email domains like .co.uk?

Yes, the regex pattern supports multi-part domain extensions such as .co.uk, .com.au, and .ac.uk because it allows dots and hyphens in the domain part and requires at least two characters for the final TLD segment.

How does the tool handle duplicate email addresses?

The tool automatically removes duplicates by storing all found emails in a set during processing. This means you receive only the unique email addresses, ensuring your list is clean and ready for use without manual dedup work.