Normalize messy company names, free
Paste a list, get legal suffixes stripped and casing fixed. 25 names per run, no signup.
Your list
Up to 25 company names per run. Paste a column and it fills the rows, nothing runs until you say so.
Sign up for a free account and get 500 credits, enough to clean 1,000 company names. No card needed.
Get 500 free creditsWhy not just a spreadsheet formula?
“You end up with a massive, nested SUBSTITUTE formula that breaks if it sees a suffix it doesn't recognize.” That's the trap with hand-rolled formulas: they only know the patterns you thought of, and every new format is another edit to something already hard to read. An AI cleaner reads the name in context instead, which is why it copes with a suffix, a casing style or a piece of industry shorthand nobody wrote a rule for.
| Before | After | What it shows |
|---|---|---|
| ACME CORPORATION | Acme | ALL CAPS repaired, suffix stripped |
| müller & söhne gmbh & co. kg | Müller & Söhne | lowercase repaired, compound suffix wins over "GmbH" alone |
| "Tech Company, INC." | Tech Company | wrapping quotes and suffix removed |
| SAP | SAP | acronym allow-list, left exactly as-is |
| 1234567 Ontario Inc. | 1234567 OntarioReview | a real numbered-company format - flagged for review, not guessed at |
Rules handle the common cases well. The last row above is the honest exception: a numbered company name isn't something a suffix list can resolve, which is exactly what Datablist's AI-based Company Name Cleaner enrichment is for.
What it fixes
Legal suffix stripping
About 60 suffix forms across regions - Inc, LLC, Ltd, GmbH, S.A., Pty Ltd, B.V. and more - matched longest-first, so a compound like "GmbH & Co. KG" is handled as one unit instead of leaving a stray "& Co. KG" behind.
Casing repair
ALL CAPS and all-lowercase names are recased to title case, with an allow-list so acronyms like SAP, IBM, KPMG and AWS aren't turned into "Sap" or "Aws".
Whitespace, quotes & punctuation
Collapses doubled spaces, strips wrapping quotes left over from a spreadsheet paste, and cleans up the trailing comma or period a suffix leaves behind once it's removed.
Duplicate detection
Flags a row once it normalizes to the same name as an earlier one, even when the raw text only differed by casing or a suffix - "Acme Inc." and "ACME, INC" are caught as the same company.
Trusted by startups and enterprises
35,000+
companies using Datablist
20M+
rows enriched every month
60+
lead generation tools
How it works
Paste your list
One company name per line, up to 25 per run. Works with data straight out of a CRM export, a scraped lead list, or a spreadsheet column - messy casing and legal suffixes included. The 25 is there because every name costs credits to process, not because the tool struggles past it.
The cleaner normalizes each name
Legal suffixes are stripped across about 60 forms and regions, compound cases like "GmbH & Co. KG" are handled as one unit rather than leaving a stray "& Co. KG", casing is repaired, and duplicates are flagged. Anything it isn't confident about is marked Review instead of guessed at.
Copy or download the result
Copy the normalized names straight to your clipboard, or download the full comparison as a CSV with the original, normalized, and what changed for every row.
Clean more than 25 at a time
A free account starts with 500 credits, enough for 1,000 company names.
Use cases
Normalizing names before they hit your CRM
Catch inconsistent casing and legal suffixes before duplicate "Acme Inc" and "ACME Corporation" records pile up in the same pipeline.
Deduplicating a list you already have
Two rows that only differ by casing or a suffix read as different companies to most tools. Normalize first, then the duplicates become obvious.
Refreshing a stale CRM export
An export pulled from an older system is exactly where inconsistent naming accumulates. Normalize it on the way back in rather than carrying the mess forward.
Normalizing a list before an email send
Company name fields feed into personalization tokens. A name with stray quotes or ALL-CAPS shouting is the kind of detail a recipient actually notices.
Related tools
Need this in bulk?
Company Name Cleaner enrichmentThe same cleaner without the 25-name cap, run directly on a dataset inside Datablist. 0.5 credits per name, and repeat rows are cached rather than charged twice.
Frequently Asked Questions
Yes. It runs Datablist's AI Company Name Cleaner, the same one behind the paid enrichment, which reads context and industry jargon rather than matching a fixed list of suffixes. It is capped at 25 names per run because every name costs credits to process, at 0.5 credits each.
25 per run, with no signup required. Paste more and the extras are left out of that run rather than silently dropped. Cleaning costs 0.5 credits per name, so the 500 credits in a free account cover 1,000 of them.
It means the cleaner was not confident about that row - things like a numbered company name, a stray URL, or unusual symbols. Rather than guess at it and hand you something wrong, it flags the row for you to look at.
They are sent to Datablist to be normalized, because the cleaner is an AI model running on our infrastructure rather than a script in your browser. Nothing runs until you press the button, so you can see exactly what was picked up from your clipboard before any of it is sent.
Same cleaner, different scale. This page runs 25 names at a time with no account. The enrichment runs directly on a dataset inside Datablist with no 25-name cap at 0.5 credits per name, so you do not export and re-paste, and repeated rows are cached rather than charged twice.
Yes - the paid enrichment runs directly on a dataset inside Datablist, so you don't need to export and re-paste. This free tool is for a quick list you have on hand right now.