100% private – data never leaves your browser

Turn messy data into clean sheets

Upload CSV, Excel or JSON – clean with 14+ tools – export in your preferred format. 100% private processing. Pay only for the rows you clean.

.csv .xlsx .json
From 9€/month
Cancel anytime
14+ cleaning tools
GDPR compliant
contacts.csv
8 issues
Before
email name
john@example.com John Doe 
JOHN@EXAMPLE.COMJohn Doe
jane@gmial.comjane smith
mike@company.orgMike Wilson
Recipes
After
3 rows
first last
John Doe
Jane Smith
Mike Wilson
-1 dup 3 space 1 typo 3 dates 3 num 1 text split
0
Cleaning tools
0
Input formats
0
Export formats
0
Data sent to servers
14 Powerful Tools

Everything you need to clean your data

From duplicates to date formats – clean any CSV, Excel or JSON file with our comprehensive toolset.

Remove Duplicates

Find and remove duplicate rows based on any column. Case-insensitive options.

Email Validation

Validate email syntax, fix common typos (gmial→gmail), flag invalid domains.

Date Normalization

Convert dates to ISO 8601 (YYYY-MM-DD) from 30+ formats. Auto-detect US/EU dates.

Number Cleaning

Remove 35+ currency symbols, convert formats (US/EU/Swiss), round decimals.

Whitespace Cleaning

Trim leading/trailing spaces, remove tabs, normalize line breaks, collapse multiple spaces.

Text Case

Convert to uppercase, lowercase, title case, or sentence case. Smart capitalization.

Split Columns

Split "First Last" into separate columns by space, comma, or custom delimiter.

Merge Columns

Combine multiple columns into one with custom separators (space, comma, dash).

Country Codes

Convert country names to ISO codes (US, DE, GB) and vice versa. 195 countries supported.

Find & Replace

Search and replace text across all columns. Supports regex patterns.

Filter Rows

Keep or remove rows based on column values. Supports multiple conditions.

Remove Empty Rows

Delete rows with all empty cells or rows missing critical data.

Clean Headers

Normalize column names: lowercase, remove spaces, convert to snake_case.

Column Reordering

Drag and drop to reorder columns. Delete unwanted columns.

Why neatcsv?

Better than Excel formulas

Compare neatcsv with traditional tools.

neatcsv Excel Google Sheets
Remove duplicates Manual Manual
Email validation
Date normalization Complex formulas Complex formulas
Privacy (no upload)
Speed (10k rows) < 1 sec Slow Very slow
Price from 9€/mo $70/yr Free (limited)
Simple Pricing

Choose your plan

Pay only for the rows you clean. Limits reset monthly. Upgrade or downgrade anytime.

Starter

9€ /month

Perfect for small projects

10,000 rows/month
All 14 cleaning tools
CSV, Excel, JSON
Email support
Get Started
Popular

Professional

29€ /month

For growing teams

100,000 rows/month
All 14 cleaning tools
CSV, Excel, JSON
Priority support
Get Started

Business

79€ /month

For high-volume users

500,000 rows/month
All 14 cleaning tools
CSV, Excel, JSON
Premium support
Get Started

All plans include 100% private processing. Your data never leaves your browser.

Flexible Formats

Import anything. Export everything.

Upload your data in any common format. After cleaning, download it exactly how you need it.

CSV

Comma-separated values

Import Export

Excel

.xlsx and .xls files

Import Export

JSON

Array of objects

Import Export
14 Cleaning Tools

Everything you need to fix messy data

No formulas. No scripts. No Python. Upload, click, and download clean data.

Data Quality

Remove Duplicates

Case-insensitive matching across one or multiple columns.

A@B.com = a@b.com

Clean Whitespace

Trim, reduce, remove BOM, zero-width and invisible characters.

" John Doe " → "John Doe"

Remove Empty Rows

Delete rows that are completely empty or have blank key fields.

,,, → removed

Filter Rows

Multi-condition filters with AND/OR logic, regex, and numeric comparisons.

age > 18 AND status = active

Validation

Validate Emails

Format check, domain typo fix (gmial→gmail), disposable email detection. Adds is_valid_email column.

user@gmial.com → user@gmail.com

Clean Numbers

Remove currency symbols (35+ codes), normalize thousand separators (1'234 / 1.234 / 1,234), handle accounting negatives (500) and rounding.

CHF 1'234.56 → 1234.56

Formatting

Normalize Dates

Auto-detect 10+ formats including 2-digit years, text months (EN/DE), and ordinal suffixes.

5. Jan 2024 → 2024-01-05

Text Case

UPPER, lower, Title Case or Sentence case with smart handling of hyphens and apostrophes.

JANE SMITH → Jane Smith

Country Codes

Standardize country names to ISO codes (Germany → DE, United Kingdom → GB).

Germany → DE

Split Columns

Split one column into multiple by any separator (space, comma, pipe, etc.).

"John Doe" → "John" + "Doe"

Merge Columns

Combine multiple columns into one with a custom separator.

"John" + "Doe" → "John Doe"

Find & Replace

Search and replace text across all or selected columns, with regex support.

"N/A" → ""

Structure

Normalize Headers

Convert headers to snake_case or camelCase, remove special characters and deduplicate.

"First Name" → first_name

Reorder & Select Columns

Drag-and-drop column reordering. Remove columns you don't need.

A, B, C → C, A (B removed)
Testimonials

Trusted by data professionals

See what our users say about cleaning their data with neatcsv.

"Saved me hours of manual work! The email validation caught 300+ typos in our Mailchimp list. Worth every cent."

SK
Sarah K.
Marketing Manager

"Finally, a tool that handles mixed date formats! Converted 50k rows from 5 different formats to ISO dates in seconds."

MR
Michael R.
Data Analyst

"Privacy-first data cleaning! Love that my Shopify exports never leave my browser. GDPR compliant and fast."

EW
Emma W.
E-Commerce Owner
Privacy & Security

Your data never leaves your browser

All processing happens 100% client-side using JavaScript. We can't see your data – even if we wanted to.

No Server Upload

Files stay on your device. Processing happens in-browser using PapaParse & SheetJS.

GDPR Compliant

No cookies, no tracking, no analytics. Privacy by design. Safe for sensitive data.

Open Source

Built with trusted libraries (PapaParse, SheetJS). No proprietary black boxes.

Stripe Payments
SSL Encrypted
EU-hosted
Cancel Anytime
Use Cases

Built for your workflow

Clean your email lists

Upload your Mailchimp or HubSpot export. Remove duplicates, validate emails, fix typos, flag disposable addresses – and download a clean list ready to import.

  • Email validation & typo fix
  • Disposable email detection
  • Case-insensitive deduplication
  • Name formatting (Title Case)
Example: newsletter_contacts.xlsx
JOHN@EXAMPLE.COMduplicate
john@example.comvalid
jane@gmail.comfixed typo
temp@mailinator.comdisposable

Fix product & order data

Clean messy product exports from Shopify, WooCommerce, or Amazon. Normalize prices across currencies, fix date formats, and standardize country codes.

  • Currency symbol removal (35+ codes)
  • EU/US number format normalization
  • ISO country code conversion
  • Date standardization to ISO 8601
Example: orders_export.csv
$1,234.561234.56
€ 1.234,561234.56
CHF 5'6785678
GermanyDE

Prepare data for import

Load a JSON API dump or database export, clean it up, normalize headers to snake_case, reorder columns, and export as the format your system needs.

  • JSON → CSV or Excel conversion
  • Header normalization (snake_case)
  • Column reordering & removal
  • Find & Replace with regex
Example: api_response.json → clean_data.csv
"First Name"first_name
"signupDate"signup_date
null / undefined(empty string)
JSON inputCSV / Excel output

Clean financial reports

Handle accounting-style negatives (500), Swiss apostrophes (1'234), mixed EU/US decimal formats, and rounding – all automatically detected.

  • Accounting negative: (500) → -500
  • Swiss format: 1'234.56 → 1234.56
  • Decimal rounding to N places
  • Unicode minus normalization
Example: quarterly_report.xlsx
(1,234.56)-1234.56
CHF 5'678.905678.90
1.234,561234.56
−500-500
How it works

Three steps to clean data

1

Upload your file

Drag and drop or browse. CSV, Excel (.xlsx/.xls) and JSON up to 20 MB.

2

Choose fixes

Pick from 14 cleaning tools or use Quick Presets. Auto-recommendations highlight issues found.

3

Download clean data

Preview changes side-by-side. Export as CSV, Excel or JSON – or copy to clipboard.

FAQ

Frequently asked questions

Yes. All processing happens 100% in your browser using JavaScript. Your files never leave your computer – nothing is uploaded to any server. We don't use cookies, analytics, or tracking. GDPR compliant by design.
Import: CSV, Excel (.xlsx, .xls), and JSON (array of objects).
Export: CSV, Excel (.xlsx), JSON, or copy to clipboard. You can import in one format and export in another – e.g. upload an Excel file and download as CSV.
Files up to 20 MB are supported. Since processing happens in your browser, performance depends on your device. Most files with up to 100,000+ rows work smoothly.
Yes. neatcsv requires a paid subscription to access the app. Choose from our Starter (10k rows/month), Professional (100k rows/month), or Business (500k rows/month) plans. Your subscription includes all features and regular updates.
Yes! Simply drag and drop your .xlsx or .xls file. neatcsv reads it directly in the browser using SheetJS. After cleaning, you can download the result as Excel, CSV, or JSON – whichever you prefer.
neatcsv auto-detects US format (1,234.56), EU format (1.234,56), and Swiss format (1'234.56). It removes 35+ currency symbols and codes, converts accounting negatives like (500) to -500, normalizes unicode minus signs, and can round to any decimal precision.
Absolutely! We're constantly improving neatcsv based on user feedback. If you need a specific cleaning function or format support, email us at info@neatcsv.com and tell us what you need. We love hearing from our users!

Ready to clean your data?

Upload CSV, Excel or JSON. 14 powerful cleaning tools. Choose your plan and start now.

CSV, Excel, JSON 100% private All features included

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