CSV to SQL
Generate SQL INSERT statements. Fast data migration to MySQL, Postgres, and more.
Last updated: April 30, 2026
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CSV to SQL — No Uploads Required
Simplify your database migrations. Our CSV to SQL tool takes your row data and generates standard SQL INSERT or UPDATE statements. You can customize the table name, define column mappings, and handle special data types like dates and nulls. This is an essential utility for developers and DBAs who need to seed databases or move data from spreadsheets into relational systems like MySQL, PostgreSQL, or SQL Server. Everything is processed locally, keeping your database structure and data secure.
Why This Tool Exists
What makes this useful — and why I built it this way.
Migration Speed: Generate thousands of INSERT statements in seconds.
Developer-Friendly: Ready-to-run SQL code for any standard database engine.
Accuracy: Correctly escapes strings and handles complex data types.
Privacy: Sensitive database schema and records stay strictly on your machine.
Flexibility: Choose between different statement types to match your migration strategy.
When You'd Use This
Real situations where this tool saves the day.
Database Seeding: populate local or dev databases with real-world CSV data.
Data Migration: Move data from legacy spreadsheet-based systems into modern SQL databases.
Mass Updates: Generate UPDATE statements to change multiple records at once.
Backup Recovery: Turn CSV snapshots back into SQL queries for restoration.
Reporting Integration: Prepare data from external vendors for import into internal analytics databases.
Using CSV to SQL
It's straightforward — here's how it works.
Upload the CSV file containing your database records.
Enter the target 'Table Name' for the SQL statements.
Review the column mapping and data type suggestions.
Select your SQL dialect (MySQL, Postgres, etc.) and statement type.
Download the .sql file or copy the queries to your clipboard.
Questions People Ask
Honest answers about how this works.
Does it handle special characters and quotes?
Yes, it automatically applies the correct escaping for your selected SQL dialect.
Can I really specify custom data types?
Absolutely. You can define whether a column should be treated as text, number, or a specialized type.
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