Data Formatter
Clean, format, and transform your data. Remove duplicates, sort, capitalize, and apply various formatting operations.
Email Lists
Clean up email lists by removing duplicates, trimming whitespace, and converting to lowercase.
Data Cleaning
Remove special characters, numbers, or empty lines from your data sets.
Text Formatting
Capitalize names, convert case, sort alphabetically, or reverse the order.
About the Data Formatter
This data formatter cleans a messy list in a single pass — removing duplicates, sorting, trimming whitespace, changing case and dropping empty lines — instead of running four separate tools in sequence.
A data formatter is for the list that arrives in poor condition. Copied out of an email, exported from an old system or merged from several sources, it has trailing spaces, inconsistent capitalisation, duplicate entries and blank lines scattered through it.
Doing the operations together matters because order affects the result. Trimming whitespace before deduplicating catches entries that differ only by a stray space; deduplicating first would keep both. Normalising case before deduplicating catches the rest.
The common target is an import file. Most importers reject a whole batch on a duplicate key or a malformed row, so cleaning first is what makes the import succeed on the first attempt. Everything runs in your browser.
How to use the Data Formatter
- Paste your list. Enter the messy data.
- Choose the operations. Trim, normalise case, deduplicate, sort and drop empty lines.
- Review the output. Check how many entries were removed.
- Copy the clean list. Take the result for your import.
Data Formatter features
- Duplicate removal
- Alphabetical and numeric sorting
- Whitespace trimming
- Case normalisation
- Empty line removal
- All operations in one pass, in the right order
Frequently asked questions
Why does the order of operations matter?
Trimming and normalising case before deduplicating catches entries that differ only by a space or a capital letter.
Can I apply several operations at once?
Yes. That is the point — they run in one pass in the order that produces the cleanest result.
Does it tell me how many entries were removed?
Yes, so you can sanity-check the result before using it.
What is this most used for?
Preparing an import file, since most importers reject an entire batch on a duplicate or malformed row.
Is my data uploaded?
No. Everything runs in your browser.