Remove credentials and pronouns from names: strip MBA, PhD, (she/her) and emoji from a lead list
In short: Upload a list, tick the name columns, and credentials, pronouns, emoji and a leading title are stripped, with every change shown. Limit: Only credentials in its list are removed, and only at the end of the name.
Upload a CSV or .xlsx file, or paste it with a header row. Tick the name columns and choose what to remove: emoji, pronouns such as (she/her), credentials at the end such as MBA or PhD, and a title at the start such as Dr. Each change is shown as before and after. Jr., Sr. and III are kept. Download the file.
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
Four example names change 3 cells: Dr. Ava Stone, MBA (she/her) becomes Ava Stone, and Ben Hart PhD with an emoji becomes Ben Hart.
- Cells cleaned
- 3
- Credentials removed
- 3
- Pronouns removed
- 2
What this means for you
A tidy name does not show which addresses exist; a check does.
- MBA, PhD, CPA, PMP
- (she/her) and emoji
- Leading Dr. optional
- Jr. and III kept
- Names
- CSV
By SimpleVerifier Team · Last updated · Runs in your browser; nothing you paste is sent to us
Names cleaned? Check the addresses before you send.
- Download the file, or use the check button under the result, which carries its addresses across.
- 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 clean credentials and pronouns out of names?
- Upload the file as a CSV or .xlsx, or paste the cells with the header row first.
- Tick the name columns; ones with name in the header are ticked for you.
- Choose what to remove: emoji, pronouns, credentials, or a title at the start.
- Check the before and after examples and download the file.
Example
- You enter
- Four names: Dr. Ava Stone, MBA (she/her), Ben Hart PhD with a rocket emoji, Cara Lin - CPA | she/her, and Dev Rao, with every option on.
- You get
- 3 cells cleaned: Ava Stone, Ben Hart and Cara Lin. 3 credentials, 2 pronoun sets, 1 emoji and 1 leading title were removed; Dev Rao was already clean.
- Limits
- Runs in your browser; nothing is uploaded. Credentials are matched with their usual capitals and only at the end, so a surname such as Ma stays.
Why do LinkedIn names carry extra text?
People type their own display name on a profile, and many add MBA, PhD or CPA after it, a pronoun in brackets, or an emoji. Exports from profile tools copy that text straight into the name column, so a mail merge greets someone as Hi Ava Stone, MBA (she/her).
This tool removes those extras and leaves the name. Run it before you split names into first and last, or before you build a greeting line.
What exactly is removed?
Emoji and the joiner marks that go with them. Pronoun sets such as she/her, he/him and they/them, in brackets or after a dash or bar at the end. Credentials at the end of the name, spelled as people usually write them, such as MBA, PhD, CPA, PMP, MD and Esq, including several in a row. And, if you leave the option on, a title at the start such as Dr., Mr., Mrs. or Prof.
Generation suffixes such as Jr., Sr. and III are part of a name and are kept.
What stays untouched?
Credentials are matched with their usual capitals and only at the end, so a surname such as Ma, Do or Pe is never cut. A cell is never emptied: if removing text would leave no letters, the cell is left as it was.
After this, split the result with split full name, fix capitals with the first name cleaner, and build the greeting.
Who uses this tool, and for what?
- SDRs
- Clean a Sales Navigator export before a merge field says Hi Ava Stone, MBA.
- Sales operations
- Strip emoji and pronouns from names before a CRM import.
- Recruiters
- Tidy candidate names exported from profiles before building outreach.
What can’t this tool tell you?
- Only credentials in its list are removed, and only at the end of the name.
- A credential written in lower case, such as mba, is not recognised.
- It cannot tell whether a leading title belongs to the person's real name.
- Only the first sheet of a workbook is read.
Common questions
- Which credentials does it remove?
- Common ones such as MBA, PhD, MD, CPA, CFA, CFP, PMP, JD, Esq, RN, MPH, CISSP and similar, at the end of the name only.
- Will it cut a surname like Ma or Do?
- No. Credentials are only matched in capitals as people write them, so Ma and Do stay.
- Does it remove Jr. and III?
- No. Those are part of a name and are kept.
- What pronoun formats are handled?
- Sets such as she/her, he/him and they/them in brackets, or after a dash or bar at the end of the cell.
- Can it empty a cell?
- No. If removal would leave no letters, the cell is left as it was.
- Is my file uploaded?
- No. It is read in your browser and goes nowhere.
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.