Messy files. Clearer possibilities.
An online data cleaning tool for CSV and Excel files. Standardise inconsistent formats, see every change, and review uncertain values yourself.
Free up to 500 rowsNo account or card required
| Name | Phone | |
|---|---|---|
| Before: | john.smith@example.com | Before: |
| Before: | Before: | Before: |
| Before: | priya.nair@example.com | (312) 555-0144 |
| Michael ChenEmail needs review | michael.chen@exampleNeeds review · unchanged | (512) 555-0182 |
| Before: | emily.wilson@example.com | Before: |
| Grace Hall | grace.hall@example.com | (615) 555-0130 |
The original value, the result, and the rows affected. Clear fixes are recorded - ambiguous findings are flagged for your review.
Grace Hall → one identical record retained1 row+1 415 555 0128 → (415) 555-01281 shownmichael.chen@exampleUnchanged — needs your reviewReviewPriya Nair → Priya Nair1 shownAnd more: Missing values Category casing Data imputation Text repair Address format checks
Save your cleaning settings, then reuse them whenever a similar file comes along.
Example saved recipes
Review what changed and why. Recover missing values where the data supports it, then format and split columns for easier analysis.
REVIEW
See what was changed, what was only flagged, and why — then keep a record of how the recipe itself has evolved.
Applied automatically 9
Flagged for your call 3
DATA IMPUTATION
Recover missing values from confirmed relationships between columns, or consistent values within a group. When the answer is ambiguous, the gap stays for review.
Confirmed relationship: Quantity × Unit price = Total
| Quantity | Unit price | Total |
|---|---|---|
| 2 | 12.00 | 24.00 |
| 5 | 12.00 | 60.00 |
| 3 | 12.00 | Missing → 36.00 |
COLUMN SETTINGS + SPLITTING
Make analysis and grouping easier with consistent formats and separate columns. Split dates into day, month and year to group results by period, separate dates from times, or extract email domains to analyse customers by organisation.
| Order date | Day | Month | Year |
|---|---|---|---|
| 12/31/2025 | 31 | 12 | 2025 |
| 01/15/2026 | 15 | 01 | 2026 |
The original date stays. Three extra columns are added.
A customer file with inconsistent formats, duplicate rows and values that need a closer look. Choose your options, then see what changes—and what stays yours to decide.
Try the sample cleanNo account needed · Paid cleaning options included for the sample
Start with a sample already loaded. Add optional columns if you need them.
Use the same cleaning tools available for your own files.
Explore the fixes, review uncertain values and download the results.
Simple, transparent pricing
Start free, pay once for a larger file, or subscribe when cleaning becomes a routine.
For trying DataMadeClean on smaller files.
$0 / forever
Pay per file
Advanced cleaning for a larger one-off file.
From $4.25 per file
For recurring files and repeat workflows.
$29 / month
Pricing is shown in US dollars based on your location. Checkout uses the same regional currency.
Before you upload
Try the sample file to explore cleaning options, run a clean and review the changes before uploading your own.
Upload CSV, Excel, TSV or delimited text files. The free tier supports up to 500 rows per file, with a 5 MB file limit.
Clear fixes, such as standardising formats, are applied and recorded in the change log. Ambiguous findings are flagged for your review, so you can decide what to do with uncertain values.
No. Uploading a file does not change the copy on your computer. Download the cleaned result separately, along with a record of the changes, and keep your original for comparison.
Files are encrypted in transit and stored on an encrypted volume. Anonymous uploads and results become eligible for deletion after a one-hour retention period, which changes made during review can extend. Cleanup runs when a new file is uploaded, so files can remain stored longer. With an account, you choose how long results are kept. Read the privacy policy.
Less time fixing spreadsheets. More time using them.
Not sure whether your file is suitable?
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