Paste a raw email list, remove duplicates, flag invalid rows, and split warnings before your next CRM, ESP, or outbound import.
Rows that pass syntax checks and are not duplicates.
Run the validator to build a clean export list.
Invalid rows, role accounts, typo domains, and duplicate notes.
Issue report will appear here.
Useful for merge audits before an import job.
Duplicate rows will appear here when found.
Quick distribution view for list composition.
A bulk email validator is a pre-import cleanup tool. Its job is not to promise deliverability magic. Its job is to catch structural problems before those rows hit your CRM, outbound sequencer, or newsletter platform. In real operations, that first layer matters more than many teams admit. One malformed CSV export, one duplicated campaign list, or one pile of typo domains can create unnecessary bounce risk and waste review time across sales, marketing, and support.
The useful version of this tool is not a fake score box that always prints the same advice. A useful validator separates clean rows from invalid rows, shows duplicates clearly, and surfaces warnings that deserve human review. That is why this page breaks the output into valid exports, issues, and duplicates instead of hiding everything behind a single pass or fail label.
This browser-side approach fits ToolPortal well because the user intent is immediate and practical. People come here wanting to paste a list, clean it, and move on. They do not need a long theory lesson before they act. They need a trustworthy workflow with visible logic, copy-ready exports, and enough context to know what should be reviewed manually.
That is also why warnings are separate from invalid rows. A role account like support@ is not the same as a broken address, but teams often treat it differently. Keeping those categories apart improves downstream decision making.
In practice, the cleanest workflow is to treat list hygiene as a sequence. First remove syntax failures. Then remove duplicates. Then review warnings. After that, if the campaign matters enough, send the remaining list into a deeper mailbox or consent verification system. This staged approach is faster than jumping directly into a paid validator with a messy raw file.
The advantage of an in-browser pass is speed. You can run it while preparing a CSV, fixing a scraped list, or reviewing hand-collected leads from multiple sources. Because the rules are visible, the output is easy to defend when another teammate asks why a row was excluded.
A team exports subscribers from an old ESP and notices repeated rows after a merge. They paste the list here, copy the clean export, and review the duplicate bucket before the new import.
A sales operator pastes a sourced lead list and spots typo domains like gmal.com and several sales@ role accounts. Those rows move into a warning review queue instead of the final sequence.
A support team receives a spreadsheet with emails mixed into notes and multiple delimiters. The parser extracts the email-like tokens, helping the team clean the file before it reaches production tooling.
It checks formatting, duplicate rows, typo domains, disposable domains, and role-account prefixes. It is meant for list hygiene, not final deliverability scoring.
No. Browser-side validation cannot confirm mailbox existence. Use it to clean the list structure before deeper verification.
Yes. You can paste raw columns or mixed text. The parser extracts email-like tokens from the block.
Because many teams still use them, but they are often shared inboxes. The right action depends on your workflow and outreach policy.
No. The data stays in the browser session. This page is designed for local cleanup without a remote verification API.
Import the valid rows, keep duplicates for audit reference, and review warnings or invalid rows before the final campaign or migration.