CSV to SQL Converter
Convert CSV (Comma-Separated Values) data into SQL INSERT statements with automatic table creation, type detection, and multiple insert formats
SQL Options
Recommended Settings
Pro Tips
- •Auto-detect types recognizes INT, DECIMAL, BOOLEAN, DATE, VARCHAR, and TEXT
- •Single INSERT format is most efficient for bulk imports in most databases
- •Batch INSERT splits data into manageable chunks for large datasets
- •Column names are automatically sanitized (lowercase, underscores, no special chars)
Most Popular
Most users enable CREATE TABLE and auto-detect types for complete database-ready SQL
When to Use This Tool
Convert CSV data exports into SQL INSERT statements for migrating data between databases, systems, or environments. The CREATE TABLE option generates complete schema definitions for quick setup.
Transform CSV files into SQL for importing data into MySQL, PostgreSQL, SQLite, or other SQL databases. Perfect for seeding test databases, loading sample data, or bulk data imports.
Create test data sets from CSV for SQL query testing, stored procedure development, and database performance testing. Generated SQL can be run directly in database clients or scripts.
Convert CSV exports from spreadsheets, legacy systems, or third-party tools into SQL format for integration with modern database systems. Handles type conversion and value escaping automatically.
How It Works
Parse CSV input, handling quoted values and special characters
Sanitize column names (lowercase, replace spaces with underscores)
Analyze column data to detect types (INT, DECIMAL, BOOLEAN, DATE, VARCHAR, TEXT)
Generate CREATE TABLE statement with detected column types if enabled
Format values based on type (escape strings, convert booleans, handle NULLs)
Generate INSERT statements in selected format (single, multiple, or batched)
Output production-ready SQL that can be executed directly on databases
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Frequently Asked Questions
What's the difference between the INSERT formats?
Single INSERT creates one statement with multiple VALUES rows - most efficient and compact. Multiple INSERT creates separate statements for each row - easier to debug and modify. Batched INSERT splits data into chunks - best for very large datasets to avoid query size limits.
How does auto-detect types work?
The tool analyzes all values in each column to determine the best SQL type. It checks for integers, decimals, booleans (true/false), dates (YYYY-MM-DD), and strings. If values exceed 255 characters, it uses TEXT instead of VARCHAR. If detection fails, it defaults to VARCHAR(255).
Are SQL strings properly escaped?
Yes! The tool automatically escapes single quotes in string values by doubling them (SQL standard). For example, "O'Brien" becomes 'O''Brien'. This prevents SQL injection and syntax errors when the generated SQL is executed.
Can I use this for different SQL databases?
Yes! The generated SQL uses standard syntax compatible with MySQL, PostgreSQL, SQLite, SQL Server, and most other SQL databases. However, some type names might need adjustment for specific databases (e.g., PostgreSQL uses SERIAL instead of AUTO_INCREMENT).
What happens to empty CSV cells?
Empty cells are converted to NULL in the SQL output. This is the SQL standard way to represent missing or absent data. Make sure your table schema allows NULLs, or provide default values for columns that require them.
How are column names sanitized?
Column names are converted to lowercase, spaces and special characters are replaced with underscores, multiple underscores are collapsed to one, and leading/trailing underscores are removed. For example, 'User Name!' becomes 'user_name'.