Paste a list of email addresses and get back every unique domain they use, ranked by how often each appears — a quick way to see the real shape of a contact list before you segment, audit or import it.
Rather than validating or extracting the addresses themselves, this tool focuses specifically on the domain half — pulling every unique domain out of a pasted list, counting how many addresses use each one, and showing what percentage of the total list each domain represents. For a contact list built from event sign-ups, a webinar registration export, or a sales prospecting tool, this quickly reveals patterns that aren't obvious scrolling through hundreds of individual rows.
A list dominated by gmail.com and yahoo.com, for instance, looks very different from a list where the top domains are all distinct company names — the first suggests a mostly consumer or personal-email audience, the second suggests a business-to-business contact base concentrated among a handful of target accounts.
Sales and marketing teams use this kind of breakdown to spot which target accounts have the most contacts already in a list, or to identify how much of a list is personal/consumer email versus company domains before running a B2B campaign. It's also a useful sanity check after merging several contact sources — a domain that suddenly dominates the combined list can be a sign of accidental duplication from importing the same source twice.
No — it only extracts and counts the domain portion of whatever text you paste, without checking whether the domain has active mail servers. Use the MX Record Lookup for that on individual domains of interest. That two-step approach — extract domains here, then verify the ones you actually care about — is generally faster than running a full MX check against every single email in a large raw list. It's also a useful health check right after a bulk import — if a domain you didn't expect suddenly shows up with a large share of the total, that's often a sign of accidental duplicate rows or a mismatched source file rather than a genuine pattern in your audience.
Yes — a copy button appears alongside the results, giving you the full unique domain list (one per line) ready to paste elsewhere.
Yes — the percentage shown for each domain reflects its share of the total number of valid email-shaped entries found in your pasted text.
Yes — like the Email Extractor, this tool pattern-matches email addresses anywhere in the text you paste, so extra columns, names, or formatting around the addresses don't interfere with domain extraction.
Yes — once you have your domain breakdown, cross-reference the top domains against the Free vs. Business Email Checker to quickly see how much of your list sits on consumer webmail versus company domains.