JSON to SQL Converter
Convert JSON data into SQL CREATE TABLE and INSERT statements with automatic type detection from JSON's native types.
SQL Options
Recommended Settings
Pro Tips
- •Column types are detected from JSON's native types: numbers, booleans, strings, and objects
- •Columns are built from the union of keys across every object in the array
- •Single INSERT format is most efficient for bulk imports in most databases
- •Batch INSERT splits data into manageable chunks for large datasets
- •Nested objects and arrays are stored as JSON strings in a TEXT column
Most Popular
Most users enable CREATE TABLE with the Single INSERT format for complete database-ready SQL
When to Use This Tool
Convert JSON data exports or API responses into SQL INSERT statements for migrating data between databases, systems, or environments. The CREATE TABLE option generates a ready-to-run schema.
Transform JSON files into SQL for importing data into MySQL, PostgreSQL, SQLite, or other SQL databases. Perfect for seeding test databases or loading sample data.
Create test data sets from JSON fixtures for SQL query testing, stored procedure development, and database performance testing.
Convert JSON payloads captured from REST APIs or webhooks into SQL statements for loading into a relational data warehouse or reporting database.
How It Works
Parse the JSON input and normalize it into a list of records (a single object becomes a one-row list)
Sanitize column names (lowercase, replace spaces and symbols with underscores)
Detect each column's SQL type directly from JSON's native types (number, boolean, string, object)
Generate a CREATE TABLE statement with the detected column types if enabled
Format values based on type (escape strings, convert booleans, stringify nested objects, handle NULLs)
Generate INSERT statements in the selected format (single, multiple, or batched)
100% Private
Files never leave your device. All processing happens locally in your browser.
Lightning Fast
Powered by Pure JavaScript for optimal performance on modern browsers.
Secure
No data collection, no tracking, no sign-up required.
Frequently Asked Questions
What JSON structures does this tool support?
It accepts either an array of objects (each object becomes a row) or a single flat object (treated as one row). Every item in an array must be an object.
How are SQL column types determined?
Types come directly from JSON's own types: booleans become BOOLEAN, whole numbers become INT, decimals become DECIMAL(10,2), and nested objects or arrays become TEXT (stored as a JSON string). Everything else becomes VARCHAR(255), or TEXT for long strings.
What's the difference between the INSERT formats?
Single INSERT creates one statement with multiple VALUES rows - most compact. Multiple INSERT creates a separate statement per row - easier to debug. Batched INSERT splits rows into chunks, which helps avoid query size limits on very large datasets.
What happens to missing or null fields?
If an object is missing a key that other objects have, or the value is explicitly null, it's converted to NULL in the generated SQL. Make sure your table schema allows NULLs for those columns.
Can I use this SQL with any database?
The generated SQL uses standard syntax compatible with MySQL, PostgreSQL, SQLite, SQL Server, and most other databases. Some type names may need minor adjustment for specific database engines.