Normalize Company Names in a CSV File

Upload a CSV with messy company names and download a clean version — legal suffixes removed, casing fixed, filler words stripped. Handles 50,000+ rows in seconds.

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Why CSV company data needs normalization

Company names in CSV files come from dozens of sources — CRM exports, lead enrichment platforms, web scraping, government databases, manual entry. Each source has its own formatting conventions, which means the same company appears in multiple variations:

Same company, five formats
ACME CONSULTING LLC
Acme Consulting, LLC
acme consulting solutions
Acme, Inc.
ACME

Without normalization, these five rows are treated as five separate companies in your CRM, email tool, or analytics dashboard. Normalization reduces them all to "Acme" — one clean, consistent name.

How CSV normalization works

1

Upload your CSV

Drag and drop your file or click to browse. The tool accepts .csv, .tsv, and .txt files up to 50,000+ rows.

2

Select the company column

The tool shows all columns from your file. Pick the one containing company names. You'll see an instant preview of the first rows.

3

Preview and configure

See before/after results for every row. Adjust settings like max words, filler word removal, and acronym preservation if needed.

4

Download clean CSV

Export the file with a new "Brand Name" column added. All original columns stay intact. Open in Excel, Google Sheets, or import directly into your CRM.

Before and after normalization

CSV inputNormalized output
Acme Consulting LLCAcme
JOHNSON & JOHNSON, INC.Johnson & Johnson
north star solutions limitedNorth Star
BMW AGBMW
Tata Technologies LtdTata
Fiat S.p.A.Fiat
The Walt Disney CompanyWalt Disney
Ernst & Young Global LimitedErnst & Young

Common use cases for CSV normalization

CRM import

Clean names before importing into Salesforce, HubSpot, or Pipedrive to prevent duplicate records.

Cold email

Normalize Apollo, Clay, or ZoomInfo exports for personalized merge fields in Instantly, Smartlead, or Lemlist.

Data migration

Standardize company names during CRM-to-CRM migrations to start with a clean database.

Deduplication

Use normalized names as matching keys to identify and merge duplicate company records.

Frequently Asked Questions

What CSV formats are supported?
The tool accepts .csv, .tsv, and .txt files. It auto-detects delimiters (comma, tab, semicolon) and handles quoted fields, embedded commas, and multi-line values correctly.
How many rows can the tool process?
The tool handles CSV files with 50,000+ rows. Processing happens in chunks to keep your browser responsive, with a real-time progress indicator during export.
Does normalization change my other columns?
No. The tool adds a new "Brand Name" column with cleaned names. All your original columns remain completely untouched.
What does 'normalization' include?
Three operations: (1) removing legal suffixes like LLC, Inc., Ltd. from the trailing position, (2) removing generic filler words like Consulting, Solutions, Services, and (3) normalizing casing to Title Case while preserving acronyms and known brands.
Can I customize what gets removed?
Yes. The cleaning options panel lets you add custom suffixes, custom filler words, set a max word count, and add acronyms to preserve. You can also save presets for repeated use.
Is the CSV processed on a server?
No. All processing happens entirely in your browser using JavaScript. Your file is never uploaded, transmitted, or stored anywhere. It's completely private.

Normalize your CSV now

Free, no signup, 50k+ rows supported.

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