Email address pattern analyzer: what shapes are the addresses on my list?
In short: Upload a list or paste a column of addresses and see how many follow first.last, f.last, word_word, word-word, one word, have digits or carry a +tag, with an example of each. Limit: It sorts by text shape only and cannot say whether a mailbox exists.
Upload a list or paste a column of addresses and the tool sorts the part before the @ into shapes: first.last, f.last, first.l, word_word, word-word, one word, digits, +tag, and the rest. You see the count, the share and one example of each shape, and you can download the list with its shape in a column.
Price: this tool is free. Checking a whole email list is from $9/mo, and the first 100 checks are free with Google, no card. Check your list free nowSee pricing
Sample result
Ten example addresses in 9 shapes: first.last is the most common, with 2.
- Most common shape
- first.last
- Addresses read
- 10
- Shapes found
- 9
What this means for you
Addresses with digits or odd shapes are the ones to look at first before a send.
- Dotted, underscore and hyphen names
- Digits and +tags
- One example of each
- List with a pattern column
- Patterns
- Lead list
- Hygiene
By SimpleVerifier Team · Last updated · Runs in your browser; nothing you paste is sent to us
You know the shapes, now check the mailboxes.
- Download the list with its pattern column, or use the check button under the result.
- Upload or paste it at /verify. Every address gets a live mailbox check, and the first 100 email checks are free with a Google sign-in, no card.
How do I see which patterns my email list follows?
- Upload the list as a CSV or .xlsx, or paste the cells with the header row first. It needs a column of email addresses.
- Press Find the patterns.
- Read the table of shapes with their counts, shares and an example, and open the shapes you did not expect.
- Download the list with a pattern column, then check it before you send.
Example
- You enter
- Example list of ten addresses on example domains: ava.smith, ben.jones, c.lee, dev_patel, eli-ross, fay, gus1984, hana+news, ivy.k and jo.van.dyke.
- You get
- Ten addresses read in 9 shapes. word.word (first.last) is the most common with 2 addresses (20%), for example ava.smith@example.com; the others have 1 each, from c.lee (letter.word) to gus1984 (has digits).
- Limits
- Runs in your browser. It sorts the text before the @ by shape and says nothing about whether a mailbox exists.
Which shapes does it sort into?
Dotted names split into first.last, f.last (one letter, then a word), first.l (a word, then one letter) and three or more parts. Names joined by an underscore or a hyphen get their own rows. An address with digits, or with a plus tag such as name+news@, is set apart before anything else, and a plain word with no separator is shown as one word.
A shape describes the text only. ana@ could be a first name or a short role name, and the tool does not guess.
Why look at shapes before you send?
A list where nearly every address is first.last at company domains was likely built from a pattern, which is common in scraped or generated lists. Addresses with long digit runs or odd shapes are worth a look first. To pull out the role names, use the role-based email filter; for the plus tags, the plus address checker.
How is each address sorted?
The part before the last @ is lower-cased and tested in a fixed order: plus tag, digits, dotted parts, underscore, hyphen, then one word. Only letters a to z count as a word, so accented names land under anything else. To rebuild addresses from names, see the bulk email format finder.
Who uses this tool, and for what?
- Cold emailers
- See how much of a bought or built list follows one name pattern.
- Data teams
- Find the addresses with digits or odd shapes to look at before an import.
- Newsletter owners
- Spot plus-tagged sign-ups and one-word addresses in a sign-up list.
What can’t this tool tell you?
- It sorts by text shape only and cannot say whether a mailbox exists.
- A one-word address could be a name or a role.
- Names with accents or non-Latin letters are listed under anything else.
- Shape is a hint for where to look first, not proof that an address is fake.
Common questions
- Can it tell me which names are real?
- No. It reads only the text before the @ and sorts it by shape.
- Why is a short name under one word?
- A name with no dot, underscore, hyphen, digit or plus is a single word, whether it is a first name, a surname or a role.
- Where do names with accents go?
- Only the letters a to z count as letters, so a name with an accent is listed under anything else.
- What does the example column show?
- The first address on your list that has that shape.
- Does it check the domain?
- No. It looks at the part before the @ only.
- Is my list uploaded anywhere?
- No. The list is read in your browser.
A tidy list can still be full of dead addresses.
Extracting, deduplicating and syntax checks all work on the text of an address. None of them can tell whether the mailbox exists. Only the server that hosts it can answer that, through an SMTP check, and that is what the paid product does.
- Upload the cleaned file as it is: CSVs up to 100,000 rows
- A real SMTP mailbox check on every row, with catch-all detection
- Small list? Starter at $9/mo covers 2,500 emails a month, cancel anytime
Plans from $9 a month, cancel anytime, no contract. Sign in with Google and your first 100 email checks are free, no card. The free tools stay free either way.