AI DATA CLEANSING TOOL

AI data cleansing
for messy spreadsheets

Duplicates, mixed date formats, extra spaces, and blank cells slow every report.
Describe the fix in plain language, review each change, and get a file that is ready for analysis.

Excel & CSV files·No formulas or scripts·Review every change

TRY IT ON A SAMPLE FILE

Click a fix and watch the table change

Data health 52 27 issues left
crm_contacts_export.csv 7 rowsChanged cell
crm_contacts_export.csv
NameEmailCountrySignup dateDeal value
Maria Lopez[email protected]USA03/14/2026$1,200
James Chen[email protected]United States2026.3.2950 USD
Maria Lopez [email protected] U.S.Mar 14 2026$1,200
Aiko Tanaka[email protected]japan2026-02-283.400,00
Liam O'BrienIreland02/19/2026$780
Sofia Rossi[email protected]Italy 19-Feb-2026
James Chen[email protected]USA2026.3.2950 USD
Download this messy sample

Cleaning steps

Change log

Pick a cleaning step. Every change RowSpeak makes shows up here so you can check it.

WHAT NEEDS CLEANING?

Pick the problems in your file. Get a prompt you can copy.

Tick the problems you recognize. RowSpeak builds one plain-language request you can paste after you upload your file.

Duplicate rows

What it looks like
The same customer or order appears twice, sometimes with small differences in spacing or case.
What AI does
Finds exact and near-duplicate rows based on the column you choose and removes the extras.
What to check
Confirm which column makes a row unique, such as email or order ID.
Read the guide

Mixed date formats

What it looks like
03/14/2026, 2026.3.14, and Mar 14 2026 all in one column, so sorting and monthly totals break.
What AI does
Reads each date and rewrites the whole column in one format.
What to check
Look at dates like 04/05 where day and month could be swapped.
Read the guide

Extra spaces and hidden characters

What it looks like
"Acme " and "Acme" count as two companies, and lookups fail for no visible reason.
What AI does
Removes leading, trailing, and repeated spaces and non-printing characters.
What to check
Spot-check a few names and IDs after trimming.
Read the guide

Numbers stored as text

What it looks like
$1,200, 1200 USD, and 1.200,00 in one column, so SUM returns the wrong total.
What AI does
Strips currency symbols and separators and converts each value into a real number.
What to check
Make sure the currency and decimal separator are what you expect.
Read the guide

Inconsistent labels

What it looks like
USA, U.S., and United States, or "north" and "North", split one group into several.
What AI does
Groups spellings that mean the same thing and replaces them with one label.
What to check
Review the mapping list before you accept it.
Read the guide

Blank cells

What it looks like
Empty cells hide in the middle of the data, and totals or averages quietly skip them.
What AI does
Finds every blank and marks it, or fills it only when the right value is clear from the data.
What to check
Decide which blanks you fill, which you flag, and which rows you drop.
Read the guide

Combined or split columns

What it looks like
Full names, addresses, or product codes squeezed into one cell, or first and last names in separate columns you need together.
What AI does
Splits one column into several, or joins several into one, following the pattern you describe.
What to check
Check rows that do not follow the usual pattern.
Read the guide

Outliers and typos in numbers

What it looks like
An order of 120000 where every other order is around 120, or a negative quantity.
What AI does
Flags values that are far from the rest of the column so you can decide what to do.
What to check
Confirm each flagged value with the source before you change it.

Your cleaning request

Tick one or more problems above to build your request.

THREE STEPS

How to clean data with AI

No formulas, no scripts, and no new tool to learn.

  1. Upload your Excel or CSV file

    Bring a CRM export, order list, expense log, or survey file. RowSpeak reads the columns and rows first.

  2. Describe the cleanup in plain language

    Say what you want fixed, such as "remove duplicate emails and use one date format." You can also ask RowSpeak what looks wrong.

  3. Review the changes and download

    Check the list of changes, ask for adjustments, and download a clean file. Keep your original file as a backup.

Inside RowSpeak: describe the fix, review the result.
Start with my file

CHOOSING A TOOL

How RowSpeak compares with other data cleansing tools

Each approach fits a different job. Here is a quick way to decide.

Excel formulasPower QueryEnterprise data quality toolsRowSpeak
Best forQuick one-off fixesRepeated steps on the same file layoutCompany-wide data governanceMessy business files you need clean today
What you need to knowFunctions like TRIM, TEXT, and XLOOKUPQuery steps and data typesAdmins, rules, and setupHow to describe the problem in plain language
Time to first resultMinutes to hoursHours to learnWeeks to set upMinutes
Seeing what changedHard to trackStep listAudit reportsChange log in plain language
Next step after cleaningBuild charts yourselfLoad into Excel or Power BIFeed other systemsAsk questions, build dashboards, and write reports in the same place

Many teams combine these. RowSpeak is a practical first step when the file is messy and the deadline is close.

AFTER THE CLEANUP

Clean data is the start, not the finish

Once the file is clean, keep going in the same workspace.

  1. Analyze

    Ask what changed, which group grew, and what to check next.

    Explore AI data analysis
  2. Visualize

    Turn clean columns into charts you can drop into a slide.

    Explore AI charts
  3. Build a dashboard

    Share a live view of the numbers with your team.

    Explore Excel to dashboard
  4. Write the report

    Get a written summary with charts for your weekly or monthly review.

    Explore AI reporting

FAQ

Data cleansing
questions, answered

Still unsure? Start with a copy of your file and review every change before you use it.

What is data cleansing?

Data cleansing (also called data cleaning or data scrubbing) means finding and fixing problems in a dataset before you use it: duplicate rows, inconsistent formats, extra spaces, wrong data types, blanks, and obvious typos. Clean data gives you totals, charts, and reports you can trust.

What does an AI data cleansing tool do differently?

Instead of writing formulas or building query steps, you describe the problem in plain language. The AI works out the steps, applies them, and lists what it changed so you can review the result.

Which files can I clean?

RowSpeak works with Excel files (.xlsx, .xls) and CSV files, including exports from CRMs, ERPs, e-commerce platforms, and survey tools.

Will RowSpeak change my original file?

You get the cleaned data as a result you can review and download. Keep your original file as a backup, and check the change list before you replace anything.

How is this different from Excel's Remove Duplicates?

Remove Duplicates only catches exact matches. RowSpeak can also match rows that differ only by case or spacing, and it handles dates, number formats, labels, and blanks in the same request.

Can I clean data with AI for free?

RowSpeak offers a free trial. Create an account and try it with your own file. See pricing.

How do I know the cleaned data is right?

Read the change log, spot-check a few rows against the source, and pay extra attention to ambiguous dates, filled blanks, and flagged outliers. Ask RowSpeak to explain any change you are unsure about.

What should I know before uploading business data?

Check your organization's data-sharing rules and remove fields you do not need, such as personal IDs, before you upload. Read the Privacy Policy.

KEEP LEARNING

Data cleaning guides

LET YOUR ROWS SPEAK

Your messy file is one request away from clean.

Upload your Excel or CSV file and describe the fix in plain language.

Clean my file free

Create an account to start your free trial.