Clean your data quickly and easily, without complex tools or costly software.

1. How the app works (quick start)

Step-by-step overview:

1. Upload a CSV file
   • Maximum file size: 5 MB
   • Only .csv files are supported
2. Review detected column types
   • Each column is automatically detected as Text, Number, or Date
   • You can change the type using the dropdown
3. Choose processing actions
   • Actions depend on the selected column type
   • Multiple actions can be selected per column
4. Preview results
   • Click Preview With Processing to see the first 10 processed rows
5. Process & download
   • Click Process & Download to get your cleaned CSV

2. Column types & actions explained

✅ Default actions are selected based on common industry data-cleaning practices.
You can customize actions to fit your data and use case.
Actions are applied in the order shown.

⚠️ Warning: Actions marked with 🔄 may change the meaning or format of your data.
Use Preview With Processing to review changes before downloading.

Text columns

• Trim spaces – Removes leading and trailing spaces
• Normalize spaces – Replaces multiple spaces with a single space
• Remove non-printing 🔄 – Removes invisible or control characters
• Unicode normalize 🔄 – Standardizes accented and special characters
• Uppercase / Lowercase / Title Case 🔄 – Changes text letter casing

🔎 Why flagged: casing and Unicode normalization can affect IDs, codes, or case-sensitive values.

Use Text for:

• Names
• Descriptions
• Free-form values

Number columns

• Trim – Removes leading and trailing spaces
• Remove currency symbols 🔄 – Removes $, €, £, and similar symbols
• Convert to number 🔄 – Converts text to a numeric value
• Round 🔄 – Rounds numbers to a fixed decimal precision

🔎 Why flagged: rounding and conversion can permanently alter numeric precision or formatting.

Use Number for:

• Prices
• Quantities
• Numeric IDs

Date columns

• Trim – Removes leading and trailing spaces
• Standardize date format 🔄 – Converts dates to yyyy-MM-dd

🔎 Why flagged: date parsing may reinterpret ambiguous formats (e.g. 01/02/2023).

Use Date for:

• Dates and timestamps in inconsistent formats

Email columns

• Trim – Removes leading and trailing spaces
• Validate email – Flags invalid email formats with “Suspect Email” at the beginning

Use Email for:

• Standard email validation

🔄 3. Changing column types

• The available actions will update automatically
• Default actions for the selected type will be pre-selected
• Previously selected actions may be reset if they’re incompatible

This helps prevent invalid transformations.

4. Preview vs final processing

• Preview shows only the first 10 rows
• Final processing applies changes to the entire file
• Preview results may differ if later rows contain unexpected values

💳 5. Credits & limits

• Maximum Size allowed is per file 5MB
• Maximum Rows allowed per file is 50 000
• Maximum columns allowed per file is 200
• Files with 100 rows or fewer are free
• Files with more than 100 rows require credits
• One credit is used per 1000 rows processed
• Credits are only deducted when processing succeeds

🔐 6. Privacy & security

• Uploaded files are processed temporarily
• Files are deleted automatically after processing
• We do not store or reuse your data

⚠️ 7. Common issues & fixes

“My column type changed to Unknown”

• Make sure you didn’t refresh the page
• Try re-uploading the file

“Actions reset when I change type”

• This is expected behavior to prevent invalid transformations

“Nothing happens when I upload”

• Check file size (5 MB max)
• Make sure the file is a valid CSV