Data Repair Studio
Data Repair Studio lets you clean CSV, XLSX, or JSON files in your browser. Trim whitespace, normalize values and types, remove duplicates, and export the repaired dataset.
- check_circlePrivate browser processing
- check_circle0 credits
- check_circleCSV + XLSX
Runs privately in your browser
Run Data Repair Studio
- 01Choose files
- 02Review changes
- 03Export result
Your input is processed in this browser session. Close the tab when you are finished with the result.
Complete
Results
What Data Repair Studio does
Data Repair Studio opens CSV, XLSX, and JSON files locally in your browser. It can trim stray whitespace, normalize dates and common value types, remove duplicate rows, rename columns, and let you correct individual cells in a spreadsheet-style grid.
Because the repair work is local, it does not spend scraping credits or upload the dataset to the extraction service. You remain in control of which cleanup actions run and can inspect the changed rows before saving a new file.
What you can do with Data Repair Studio
Useful fields from the start
Review column type inference, whitespace cleanup, duplicate removal, editable values in one organized result.
Results you can inspect
Work with the source file directly in your browser and review every change before exporting.
Export as CSV, XLSX, JSON
Keep the result in the format that fits your spreadsheet, audit, content, or development workflow.
Private local processing
The work stays in this browser session and does not use your global credit balance.
Where Data Repair Studio fits
Perfect for
- checkClean a scrape before importing it elsewhere
- checkRemove duplicate rows from merged exports
- checkStandardize dates and numeric values
- checkFix column names and individual cells
What you get
- checkColumn type inference
- checkWhitespace cleanup
- checkDuplicate removal
- checkEditable values
How to use Data Repair Studio
- 01
Choose a dataset
Open a CSV, XLSX, or JSON file from your device.
- 02
Apply selected repairs
Preview whitespace cleanup, type normalization, and duplicate removal before accepting changes.
- 03
Export a clean copy
Review the grid and save the repaired data in your preferred format.
What to know before you run it
- infoFiles are processed in the browser and do not consume credits.
- infoKeep the original file until you have checked the repaired export.
- infoType detection is a suggestion and should be reviewed for identifiers or codes.
This tool works in your browser session. Keep the original file or source details until you have checked the exported result.
Questions about Data Repair Studio
If your question is not covered here, send us a message and include the page, file, or result type you are working with.
Does Data Repair Studio upload my file?
Can it remove duplicate records?
Will type normalization change product codes or IDs?
Ready when you are
Run Data Repair Studio
Upload a small dataset and review column type inference and whitespace cleanup.
Open the tool