AI-Powered Analysis

Auto-DetectData Types

Instantly analyze and identify data types in your CSV files. Our intelligent system detects text, numbers, dates, booleans, and custom patterns with professional accuracy.

100% Free
No Registration
Instant Results

Upload Your CSV Data

Upload your CSV or Excel file

Drag and drop your file here, or click to browse. We'll clean up all the whitespace issues automatically.

✅ Supported formats:
📊 CSV files (.csv) • 📋 Excel files (.xlsx, .xls)
📏 Maximum file size:
55MB - Perfect for large datasets

Key Features

  • Automatic data type detection for CSV columns
  • Identifies Text, Number, Boolean, and Date types
  • Handles empty values and mixed data types
  • Provides a summary of detected types for each column
  • Supports large CSV files with fast processing
  • No data is sent to any server - processing is local
  • Easy to use with drag-and-drop file upload
  • Copy and paste CSV data directly into the tool

Best Practices for Data Type Detection Conversion

  • Ensure your CSV file has a header row for accurate column detection
  • Check that your data is consistently formatted within each column
  • Handle missing values or special characters before analyzing
  • Verify the detected data types match your expectations
  • Use the detected types to guide further data cleaning or transformation
  • Consider using a data dictionary to document your data types
  • Test with a small sample of your data before processing large files

Automatically detect and analyze data types in your CSV files. Our AI-powered tool identifies text, numbers, dates, booleans, and more with high accuracy…

Tool
Auto-Detect CSV Data Types
Category
All CSV tools
Availability
Browser-based tool

Common questions

Which data types can be detected?

Text, Number, Boolean (true/false) and Date, based on the values found in each column.

Why is a column detected as text when it looks numeric?

One non-numeric value (for example "N/A", a currency symbol or a thousands separator) makes the column mixed. Clean those values and run detection again.

How does this help with database imports?

Knowing each column's type lets you choose correct SQL column types before generating CREATE TABLE and INSERT statements with CSV to SQL.