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  3. CSV Data Type Detector
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Understand Your CSV Column Types at a Glance

What types of data are actually in each column? This tool scans every value and reports the detected type — integer, float, boolean, date, email, URL, phone number, or plain text — along with confidence scores and sample values. It catches mixed-type columns that could cause import failures.

How to Use

  1. 1Upload or paste your CSV
  2. 2Review the type report for each column
  3. 3Check mixed-type warnings and sample values
  4. 4Export the type schema as JSON for use in other tools
  5. 5Use findings to set proper column types before database import

Key Features

  • Detection of integer, float, boolean, date, datetime, email, URL, phone, and text types
  • Confidence scores per column
  • Mixed-type detection with value breakdown
  • Locale-aware number format recognition
  • Sample values shown for each detected type
  • Exportable type schema (JSON)

Tips & Best Practices

  • Run this tool before importing CSVs into a database to avoid type mismatch errors.
  • Columns with confidence below 90% usually need manual review.
  • Export the JSON schema and use it as input for automated pipeline configuration.

Common Use Cases

  • Database schema design

    Use detected types to define column types (INT, VARCHAR, DATE, etc.) when creating a new database table.

  • Data validation planning

    Identify mixed-type columns that need cleaning before they cause type-casting errors in your application.

  • ETL pipeline configuration

    Generate a type map that your ETL scripts can use to cast values correctly during ingestion.

  • Documentation

    Export the type schema as a data dictionary to share with teammates or attach to a dataset.

The Details

CSV files are inherently untyped: every value is just a string. But downstream systems — databases, analytics tools, programming languages — need to know whether a column holds integers, decimals, dates, or text. Manual inspection works for small files, but a 50-column, 100K-row dataset demands automation.

The detector examines every cell in each column, tests it against type-specific patterns (ISO dates, RFC 5322 emails, E.164 phone numbers, numeric formats across locales), and assigns a type with a confidence percentage. Columns where more than one type appears get flagged as mixed-type with a breakdown showing, for example, "85% integer, 10% float, 5% text."

Frequently Asked Questions

What types does it detect?

Integer, float, boolean, date, datetime, email, URL, phone number, and general text. It also flags columns that contain a mix of types.

How does it handle dates in different formats?

The detector recognizes ISO 8601, US (MM/DD/YYYY), European (DD/MM/YYYY), and several other common date formats.

What does the confidence score mean?

It reflects the percentage of non-empty values in the column that match the detected type. A score of 100% means every value fits; lower scores indicate mixed or ambiguous data.

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All processing happens directly in your browser. Your files never leave your device and are never uploaded to any server.