Is this free tool AI-based?

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 10 names per run because every name costs credits to process, at 0.5 credits each.

How many names can I normalize for free?

Up to 10 per run, within a daily allowance of 5 credits per browser session and IP. Each submitted name reserves 0.5 credit; any unused reservation is released when the run finishes. The allowance resets at midnight UTC.

Does the cleaner return confidence scores?

No. It returns a cleaned company name. The table shows whether the returned name differs from your input. Review important or ambiguous names before using them.

Where do the names I paste go?

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.

What's the difference between this and the paid enrichment?

Same cleaner, different scale. This page runs 10 names at a time with no account. The enrichment runs directly on a dataset inside Datablist with no 10-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.

Can I normalize names I've already imported into Datablist?

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.

Normalize messy company names, free

Paste a list, clean up casing, and choose whether to keep legal suffixes. 10 names per run, no signup.

Your list

Paste up to 10 company names to clean their casing and legal forms.

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Your inputs and results are available in this browser for 24 hours. Datablist keeps task data longer to complete and support the run.

Paste or type a company name to get started

Get 500 free credits

Why 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 Ontario	a numbered-company format; review the cleaned name before using it

Illustrative examples. The AI cleaner returns a cleaned company name; it does not return confidence scores or explanations. Review important names before using them.

What it fixes

Legal suffix stripping

The AI cleaner can remove legal forms such as Inc., LLC, Ltd., GmbH and SAS while retaining the recognizable company name.

Casing repair

The cleaner normalizes inconsistent casing and can preserve recognizable names and abbreviations.

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.

Compare before and after

Compare the original and cleaned names before copying results or downloading a CSV.

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 10 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 limit is there because every name costs credits to process, not because the tool struggles past it.

The cleaner normalizes each name

The AI cleaner returns a cleaned name so you can compare it with the original. It does not return confidence scores or explanations.

Copy or download the result

Copy the normalized names straight to your clipboard, or download the full comparison as a CSV with the original name, cleaned name, and result status for every row.

Clean more than 10 at a time

A free account starts with 500 credits, enough for 1,000 company names.

Create a free account

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.

How To Normalize Company Names

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.

How To Dedupe Company Names

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.

Clean, Enrich & Refresh CRM Data

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.

Email List Cleaning Guide

Normalize your list free

Related tools

Need this in bulk?

Company Name Cleaner enrichment

The same cleaner without the 10-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