What this tool does
Extract Emails scans any block of text and pulls out every email address it contains, returning them as a clean list. Paste a document, a web page, an export or a wall of messy text, and the tool finds the addresses buried in it — deduplicated and ready to copy — without you hunting through the content by hand.
How it finds addresses
The tool uses a pattern that recognizes the structure of an email address — a local part, an @ symbol, a domain and a top-level domain — and collects every match. It pulls addresses out regardless of the surrounding text, so they can be embedded in sentences, separated by commas, mixed with other data, or scattered across many lines. Duplicates are removed automatically so each address appears once.
Common uses
Pull contacts out of a pasted email thread or signature block. Extract addresses from an exported document or report. Collect the emails from a chunk of scraped or copied text. Clean up a messy contact list where addresses are surrounded by names and notes. The output is a plain list, one address per line, ready to paste into a spreadsheet, a mail tool or wherever you need it.
A note on responsible use and privacy
Use extracted addresses responsibly and in line with privacy laws and anti-spam rules — extracting addresses from a document you own is very different from harvesting them to send unsolicited mail. On the privacy side, this tool runs entirely in your browser, so the text you paste and the addresses it finds are never uploaded or stored. You can process a confidential document without it leaving your device.
Pulling email addresses out of text
This tool scans any block of text and extracts every email address it finds, listing them cleanly with duplicates removed. Paste a messy export, a page of contact information, a chat log or a document, and get just the email addresses, one per line, ready to copy. It saves the tedious, error-prone work of hunting through text and copying addresses by hand, and it catches every address that matches the standard email pattern.
Cleaning and de-duplicating contact lists
A frequent use is turning a raw blob of text into a usable contact list. Sales and marketing teams paste exported data or scraped pages and extract the addresses. Researchers pull contacts from documents. The tool automatically removes duplicate addresses, so if the same email appears several times you get it once. From there you can sort the list or remove any remaining duplicates with the related tools, all without the data ever leaving your browser.
A note on privacy and responsible use
Because everything runs locally in your browser, the text and the extracted addresses are never uploaded — important when handling personal contact data. Use extracted addresses responsibly and in line with privacy laws and anti-spam regulations such as GDPR and CAN-SPAM. Extracting addresses from text you have a right to use is legitimate; harvesting addresses to send unsolicited bulk email is not, and is illegal in many places.