SHEETSTEPS FOR DATA PROCESSINGClean and transform rows
Clean and transform rows
without brittle scripts.
Normalize inconsistent values, split and combine fields, classify records, remove duplicates, and reshape spreadsheet data with a preview before anything changes.
Works with Google Sheets · Preview before writing · No code requiredINSTRUCTION
Normalize company names, phone formats, countries, lifecycle stages, and duplicated contacts.
1 Read input2 Extract fields3 Review output
1normalizedcomplete
2deduplicatedcomplete
3restructuredready
SheetSteps does the repetitive browser and spreadsheet work.
You stay in control of the decisions.
You start with rows in Google Sheets—usually URLs, records, or text. You tell SheetSteps what a useful finished row should contain. It tests the instruction on a small sample, shows the proposed columns, and only runs the larger job after you approve it.
Repeated records grouped for review
Fields split, combined, mapped, or pivoted
Missing and suspicious values made visible
SHEETSTEPS AI FUNCTIONSWhat SheetSteps AI does
What SheetSteps AI does
for this work.
These are real capabilities in the product, combined into a workflow for this profession.
Clean & normalize
Standardize values without overwriting the source.
Extract & reshape
Split combined text and return structured fields.
Classify & validate
Map values to allowed labels and flag ambiguous rows.
Batch processing
Run large transformations with previews, retries, and row status.
REAL WAYS TO USE ITStart with the job
Start with the job
you already do.
You do not need to redesign your process around AI. Begin with one slow, repetitive part of the workflow and keep the result in a familiar spreadsheet.
CRM cleanup
Normalize company names, phone formats, countries, lifecycle stages, and duplicated contacts.
Survey processing
Clean responses, classify themes, translate free text, and separate unusable records.
Catalog normalization
Standardize brands, categories, units, currency, SKUs, and variant descriptions.
Export preparation
Map source columns into the names, formats, and allowed values required by another system.
FROM INPUT TO USEFUL OUTPUTWhat goes in.
What goes in.
What comes back.
Each step stays visible, so a teammate can understand the workflow without reverse-engineering a script.
- 1Select
- The rows and columns that need work
- 2Describe
- Allowed formats, mappings, examples, exceptions
- 3Preview
- Before and after values on representative rows
- 4Write
- New columns or explicitly approved replacements
HOW TO STARTYour first useful workflow
Your first useful workflow
in four understandable steps.
- 01
Protect the original
Duplicate the tab or write transformed values into new columns.
- 02
Show good examples
Provide expected outputs for normal and difficult rows.
- 03
Preview the rules
Check formatting, blank handling, duplicates, and exception labels.
- 04
Process and validate
Run the full set, then filter low-confidence and failed rows for review.
READY-TO-USE WORKFLOWSStart with a tested formula.
Start with a tested formula.
Turn it into a recipe when it works.
These SheetSteps AI templates are selected specifically for this Solution. Copy one into Google Sheets, customize it, or run it across a previewed batch.
Value normalizer
Convert messy values to one approved format.
=SHEETSTEPS_AI(A2,"Normalize to YYYY-MM-DD. Return only the value.")Field splitter
Split a combined cell into structured fields.
=SHEETSTEPS_EXTRACT(A2,"first_name, last_name, company, role")Record classifier
Map raw labels to an allowed taxonomy.
=SHEETSTEPS_CLASSIFY(A2,"Active, Inactive, Pending, Unknown")Validation check
Flag suspicious or incomplete records.
=SHEETSTEPS_SCORE(A2,"Completeness and internal consistency from 0 to 100")FREE GOOGLE SHEETS TEMPLATESUse a ready-made Sheet
Use a ready-made Sheet
as your starting point.
Copy a template, add your own rows, then use SheetSteps AI when you need to research, clean, analyze, or update the workbook.
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Records29View free template →FAQQuestions about
Questions about
SheetSteps for Data Processing.
Clear answers about how the workflow works, what data it can use, and where a person remains in control.
Can SheetSteps remove duplicates?+
Yes. Choose the fields that define a duplicate, such as normalized email, domain, SKU, or a combination of values. SheetSteps can flag groups first so you decide which record to keep.
Can it standardize dates, phone numbers, and categories?+
Yes. State the desired format and provide examples. Output can go into new columns so you can compare it with the original before replacing anything.
How does SheetSteps handle uncertain values?+
Ask for a confidence or review-status column. Ambiguous rows can be labeled for human review rather than forced into a category.
Will SheetSteps change my source spreadsheet automatically?+
No. SheetSteps shows a preview before writing results. You choose the destination columns, review a sample, and approve the run. Existing source cells remain protected unless you explicitly choose to update them.
Does SheetSteps work inside Google Sheets?+
Yes. The Google Sheets add-on can use selected cells as inputs, preview new columns, run larger jobs in the background, and write reviewed results back into the same workbook.
Put one real data processing workflow
into SheetSteps AI.
Start with a small sample. Keep the output understandable. Scale only after the result looks right.
Clean a spreadsheet →