Email Username Extractor

The Email Username Extractor isolates the local part of every email address, meaning the portion that appears before the at symbol. Given john.doe@example.com it returns john.doe, and from sales@acme.io it returns sales, giving you a clean, one-per-line list of usernames pulled out of any block of addresses you paste in.

It is useful for developers, data analysts, community managers, and anyone who needs the identifier rather than the full address. Common uses include suggesting account handles, matching users between systems that key on the local part, studying naming conventions across an organisation, or preparing data for a directory or import where only the username portion is required.

Everything runs locally in your browser using JavaScript, so there is no upload, no account, and no server processing at any stage. Paste your addresses, optionally turn on unique-only mode, and click Extract usernames to get the list along with a few summary stats. Because your data never leaves your device, even confidential lists stay completely private throughout.

Features

• Returns the local part of every address, meaning everything written before the at symbol in each entry.
• Offers an optional unique-only mode that removes repeated usernames and keeps the first occurrence of each.
• Compares usernames case-insensitively when deduplicating so capitalisation differences do not hide repeats.
• Preserves the exact capitalisation and spelling of each username it returns in the output list.
• Accepts lists in any common separator, including new lines, commas, semicolons, spaces, and pipes.
• Returns the usernames as a clean one-per-line list that is easy to copy and reuse elsewhere.
• Reports summary statistics for usernames found, usernames returned, and duplicates removed when deduplicating.
• Lets you copy the result to your clipboard or export it as a TXT or CSV file.

How to use Email Username Extractor

1. Paste your list of email addresses into the input box, using whatever separator format your list already has.
2. Decide whether you want every username or only distinct ones, and enable Unique only if you want duplicates dropped.
3. Click the Extract usernames button to strip the at symbol and domain from each address automatically.
4. Check the stats panel to see how many usernames were found, returned, and removed as duplicates.
5. Review the one-per-line output to confirm the usernames look correct before you use them anywhere.
6. Copy the list to your clipboard, or export it as a TXT or CSV file for import into another system.

Benefits

• Helps developers and admins generate candidate account handles or identifiers directly from a list of emails.
• Lets analysts study naming conventions across an organisation to spot patterns or inconsistencies in addresses.
• Prepares data for systems and directories that key on the username portion rather than the full address.
• Saves time over manually deleting the domain from each address one entry at a time in a spreadsheet.
• Gives community and support teams a quick way to pull handles from a batch of member emails.
• Keeps your list private because the extraction happens locally and nothing is ever uploaded anywhere.

This tool is handy whenever the domain is irrelevant and you only care about who or what comes before the at symbol. For example, when onboarding staff you might derive suggested usernames from their work emails, or when reconciling two datasets you might match records on the local part alone. It also makes it easy to audit how addresses are constructed, such as whether a team uses first.last, initials, or role-based addresses.

Usernames are returned exactly as written, so capitalisation and punctuation in the local part are preserved unchanged. The optional unique-only mode is the only place case is ignored, where it compares usernames case-insensitively so that John and john are treated as the same value and collapsed into one. If you do not enable that mode, every username is returned in its original order, including any repeats.

All extraction runs locally in your browser with JavaScript, so your addresses are never sent to a server and nothing is stored once you close the page, which keeps sensitive lists private. Keep in mind that two different people can share the same local part on different domains, such as info@a.com and info@b.com, so usernames alone are not guaranteed to be unique identifiers across organisations.