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Spreadsheet to SQL Converter
Convert data from CSV files, Google Spreadsheets, or Excel exports to SQL VALUES, UPDATE loops, INSERT statements, or UPSERT operations for database import.
About Spreadsheet to SQL Converter
Learn how to efficiently convert CSV, Google Spreadsheets, and Excel data to SQL queries

What is a Spreadsheet to SQL Converter?

A Spreadsheet to SQL converter is a tool that transforms data from various spreadsheet formats including CSV files, Google Spreadsheets exports, and Excel spreadsheets into SQL statements that can be executed in a database. This tool bridges the gap between spreadsheet data and database operations, making it easy to import or update data in your database regardless of whether your data comes from CSV files, Google Spreadsheets, or Excel workbooks.

Common Use Cases

  • Data Migration: Quickly convert exported data from Google Spreadsheets, Excel, or CSV files from one system into SQL for importing into another database.
  • Bulk Updates: Generate UPDATE statements to modify multiple records at once using data from CSV exports, Google Spreadsheets, or Excel files.
  • Database Seeding: Create SQL statements to populate test or development databases with sample data from spreadsheet applications.
  • Data Correction: Generate SQL to fix data issues across multiple records using data exported from Google Spreadsheets, Excel, or saved as CSV files.

How to Use This Tool

  1. Export your data from Google Spreadsheets, Excel, or save as CSV format
  2. Choose your desired output format (VALUES, UPDATE Loop, INSERT Loop, or UPSERT Loop)
  3. Select the appropriate delimiter for your data (tab or comma)
  4. For UPDATE/INSERT/UPSERT loops, enter your table name and relevant column configuration
  5. Paste your spreadsheet data into the input field
  6. Click "Convert to SQL" to generate the SQL statements
  7. Copy the generated SQL and execute it in your database management tool

Working with Different Spreadsheet Formats

  • Google Spreadsheets: Copy and paste directly from Google Sheets, or download as CSV/TSV and paste the contents.
  • Excel: Copy data from Excel and paste directly, or save as CSV/Tab-delimited text and paste the file contents.
  • CSV Files: Open CSV files in any text editor and copy the contents, or import into Google Spreadsheets/Excel first.

Understanding Different Loop Types

The loop features generate PostgreSQL DO blocks that iterate through your spreadsheet data row by row:

  • UPDATE Loop: Updates existing records based on a WHERE condition. Perfect for bulk updates where records already exist.
  • INSERT Loop: Inserts new records into the table. Useful when you need to add many new rows.
  • UPSERT Loop: Uses PostgreSQL's INSERT ... ON CONFLICT to either insert new records or update existing ones. Ideal for data synchronization where some records may already exist. Supports composite keys for complex unique constraints.

Tips for Effective Data Conversion

  • Include Headers: For UPDATE loops, include column headers in your first row when copying from Google Spreadsheets, Excel, or CSV files to enable automatic column mapping.
  • Check Data Types: Ensure your spreadsheet data types match what's expected in your database, especially for UUIDs and dates.
  • Test First: Always test your generated SQL on a small dataset or test database before running it on production data.
  • Backup: Create a database backup before executing large update operations from spreadsheet data.
  • Format Consistency: When working with Google Spreadsheets or Excel, ensure consistent formatting before copying data.

Security Considerations

This tool processes all spreadsheet data locally in your browser. Whether your data comes from CSV files, Google Spreadsheets, or Excel, it never leaves your device, ensuring complete privacy and security. However, always be cautious when executing generated SQL on sensitive databases and verify the SQL before execution.