Your Company Data Could Be Worth $100K to $2M
AI companies are paying established businesses for real internal data: SOPs, knowledge bases, CRM records, project histories, QA processes and team communications. The documentation you already have can become a new revenue stream. If you want to sell, answer three quick questions to see if your company qualifies.
- Open to every industry
- US companies first, then other Western markets
- No new work, you license what already exists
Check if your company qualifies
Good news. Your company meets the requirements for the Enterprise Data Partnership. Apply below to find out what your data is worth.
Apply for the Data Partnership →Email Extractor — Pull All Email Addresses From Any Text
If you have a long block of text full of email addresses and need to pull them out quickly, this tool does it in one click. Just copy your text from any source, such as a webpage, a document, a spreadsheet, or an email, and paste it into the box below. Click Extract Emails and the tool will find every email address in the text, remove any duplicates, and list them cleanly. You can then copy all the addresses to your clipboard with a single button. No account needed. Nothing is sent to any server. Your text stays in your browser the whole time.
Frequently Asked Questions
What is email extraction used for?
Email extraction is used to pull contact addresses out of large blocks of text, such as a copied webpage, a document, a client list, or an exported report. It saves time compared to reading through the text manually and picking out addresses one by one. Marketers, recruiters, and developers all use email extraction regularly.
Is this email extractor tool free to use?
Yes, it is completely free with no account or sign-up required. There are also no usage limits. The tool runs entirely in your browser, so the text you paste is never sent to a server or stored anywhere.
How do I extract emails from a webpage?
Open the webpage you want to extract from. Press Ctrl+A (or Cmd+A on Mac) to select all the text, then press Ctrl+C to copy it. Paste it into this tool and click Extract Emails. The tool will scan the entire text and pull out every email address it finds.
What counts as a valid email address for this tool?
The tool looks for text that follows the standard email format: one or more characters before an @ symbol, followed by a domain name with at least one dot. Common formats like name@example.com and first.last@company.org are always detected. Very unusual or heavily formatted emails may occasionally be missed.
Does the tool remove duplicate email addresses?
Yes. If the same email address appears multiple times in your text, the tool only includes it once in the results. The count shown reflects the number of unique addresses found, not the total number of times they appeared.
What regex pattern is used to match email addresses?
This tool matches the standard pattern local@domain.tld — one or more valid characters before the @ sign, a domain name, a dot, and a top-level domain of two or more characters. Edge cases like quoted local parts or internationalized domains are not matched by most standard approaches, but the pattern handles the vast majority of real-world addresses.
Can I extract emails from a copied webpage?
Yes. Use Ctrl+A then Ctrl+C on any webpage to copy all visible text, then paste it here. For best results, use View Source (Ctrl+U) to get the raw HTML, since some addresses are in the source code but not visible in the rendered page. The tool strips HTML tags and finds the addresses in the underlying text.
Are the extracted emails validated as real addresses?
No. This tool finds patterns that look like email addresses — it does not verify that the mailbox exists or accepts mail. Checking whether an email is real requires sending a verification message or using an SMTP verification service. Use this tool to collect and deduplicate addresses, then validate deliverability separately if needed.
How It Works
The tool runs a regular expression over your pasted text matching patterns in the format local@domain.tld. Results are automatically deduplicated using a lookup object, so each address appears once regardless of how many times it appears in the source. Processing happens entirely in your browser — nothing is uploaded.
Common Use Cases
Email extraction is used to pull contacts from CSV exports, recover addresses from old newsletters, compile lists from forum threads or copied web pages, and clean up messy exports from CRMs. It saves significant time compared to manually hunting through large documents.
Privacy Notice
Everything runs in your browser. The text you paste and the emails extracted are never sent to any server or stored anywhere. You can safely run confidential documents through this tool — legal contacts, HR data, customer lists — without any data leaving your device.
When to Use This
Use when migrating contact lists between platforms, cleaning up mailing list exports, recovering contacts from exported chat logs or meeting notes, or pulling email addresses from a document before importing into a CRM or newsletter tool.
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