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Data Repair Studio

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

0 credits
  1. 01Choose files
  2. 02Review changes
  3. 03Export result
Work stays in this tabCSV, XLSX, JSONNo upload to ExtractPics
01

Choose a dataset

CSV, XLSX, and JSON files are processed in this browser tab.

Review the result before exporting. Your source is never edited.

Your input is processed in this browser session. Close the tab when you are finished with the result.

What Data Repair Studio does

Data Repair Studio opens CSV, XLSX, and JSON files locally in your browser. It trims stray whitespace in values and column names, converts number, yes/no, and date columns to typed values, removes exact duplicate rows, and lets 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. Every repair runs automatically when you start, so review the grid and the summary counts before saving a new file.

Data Repair Studio features

table_rows

Useful fields from the start

Review column type inference, whitespace cleanup, duplicate removal, editable values in one organized result.

download

Export as CSV, XLSX, JSON

Formats offered: CSV, XLSX, JSON.

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
  • checkCorrect individual cells by hand

What you get

  • checkColumn type inference
  • checkWhitespace cleanup
  • checkDuplicate removal
  • checkEditable values

How to use Data Repair Studio

  1. 01

    Choose a dataset

    Open a CSV, XLSX, or JSON file from your device.

  2. 02

    Run the automatic repairs

    Whitespace cleanup, type conversion, and duplicate removal run together. Check the summary for how many rows were removed.

  3. 03

    Export a clean copy

    Review the grid and save the repaired data in your preferred format.

Before you run Data Repair Studio

  • infoFiles are processed in the browser and do not consume credits.
  • infoKeep the original file until you have checked the repaired export.
  • infoType conversion is automatic, so check codes and identifiers in the result.

Questions about Data Repair Studio

Something missing? Ask us.

Does Data Repair Studio upload my file?

The editing workflow runs in your browser. The dataset is not sent to the scraping service for cleaning.

Can it remove duplicate records?

Yes. Rows that are exact copies after cleanup are removed automatically, and the summary shows how many were dropped.

Will type normalization change product codes or IDs?

Digit-only columns become numbers unless the column name ends in id, sku, zip, postal, phone, or code. In other columns leading zeros are lost, so check identifier columns before you export.

Ready when you are

Run Data Repair Studio

Upload a small dataset and review column type inference and whitespace cleanup.

Open the tool

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