Extract email addresses from text

What each Extract choice finds

The list shows up to 2,000 items under a line saying how many were found. It always reads the whole text, whatever is selected, and updates as you edit. Copy the list copies every item, one per line, even beyond the first 2,000.

With Each once off, the list keeps every match in the order it appears in the text. To collect two kinds, emails and links for example, copy one list, then pick the other from Extract and copy again.

Getting a clean list

• Capitals. Each once compares items exactly, so Bob@Example.com and bob@example.com are both listed. With the list open, select all, choose lower in Case, copy the list, then press Ctrl Z to get your text back as it was.
• Order. Paste the copied list into Text Studio and sort it A to Z, or run Remove duplicates, ignoring case as a second pass.
• Disguised addresses such as “anna at example dot com” are not found. Turn them into real addresses with find and replace first.
• Full stops at the end of a sentence are left off, because an address has to end in a domain of at least two letters.
• International addresses such as josé@correo.es are found as they are, since letters from any alphabet count.

Where addresses hide, and using them well

Common sources are an email thread with many people in To and Cc, a sign-up sheet exported as CSV, a saved web page's .html file, a contact list in a document, or notes from an event. Text Studio reads every plain text format it opens, from .txt and .csv to .html and .json, and finds addresses anywhere in them, in any column of a CSV. The list holds the addresses alone, so for a sign-up sheet with names in one column and emails in the next, keep the CSV itself when you need the two side by side.

The copied list goes straight into a spreadsheet, one address per row, or into the To box of a mail program. Only write to people who expect to hear from you: laws such as the GDPR in Europe and CAN-SPAM in the United States set rules for marketing email, and unexpected mail tends to end up marked as spam.

Links, numbers, phone numbers and tags

• Links must start with http://, https:// or www., so a bare example.com in a sentence is not listed. Brackets, quotes and a full stop after a link are left out.
• Numbers use a point for decimals and commas for thousands. A European 1.234,56 comes out as two numbers, a hyphen in front of digits is read as a minus sign, and a comma right after a number stays with it.
• Phone numbers are found by shape: at least eight digits and separators, starting and ending with a digit. Dates such as 2026-10-08 and long order numbers fit that shape too, so read the list before you use it.
• Hashtags and mentions are words that start with # or @; the @ inside an email address does not count. Turn off Each once and the list shows every use, so the number found is the total for a set of posts.