Creating Your First Project

Upload data and configure cleaning rules for your first project.

Project Settings#

When creating a project, you'll need to provide:

Project Name

A descriptive name for your data (e.g., "Local Restaurants")

Description

Optional notes about the data source or purpose

Uploading Data#

dataclean.to supports multiple ways to import data:

CSV & Excel Upload

Drag and drop a CSV or Excel file or click to browse. We support:

  • CSV, .xlsx, and .xls files
  • Files up to 10MB (free) or 100MB (paid)
  • Comma, semicolon, or tab delimiters

Google Sheets

Connect your Google account to import directly from Sheets. Available on Starter plan and above.

  • Real-time sync with your sheet
  • Auto-refresh on changes
  • Collaborative editing support

Airtable

Import data directly from your Airtable bases. Connect with OAuth and select any table to import. Available on Starter plan and above.

Column Configuration#

After upload, you'll see each column with:

PropertyDescriptionExample
Detected TypeOur best guess at the data typephone
Confidence ScoreHow confident we are (0-100%)94%
Normalization RuleThe transformation to applyE.164 format
Pro Tip
You can override the detected type for any column. Just click on the type badge to see all available options.

Next Steps#

After creating your project, you can:

1

Preview the cleaned data with before/after comparison

2

Adjust normalization rules and type mappings

3

Export in your preferred format (CSV, JSON, JSON-LD)