JSON to SQL Schema Generator

Generate SQL CREATE TABLE statements from JSON data.

What Is JSON to SQL Conversion?

JSON to SQL conversion transforms JSON data into SQL statements — typically CREATE TABLE definitions and INSERT INTO statements. This automates the process of importing JSON data into relational databases, which is a common task when migrating data from APIs, NoSQL databases, or file-based storage into SQL databases like PostgreSQL, MySQL, or SQL Server.

How Does the Conversion Work?

  • Schema Inference: The converter analyzes JSON property names and values to determine SQL column names and data types.
  • Type Mapping: JSON strings map to VARCHAR/TEXT, numbers to INT/DECIMAL, booleans to BIT/BOOLEAN, and dates to DATETIME/TIMESTAMP.
  • Array Handling: JSON arrays are typically serialized as JSON columns or mapped to separate related tables.
  • Nested Objects: Nested JSON objects can be flattened into columns or stored as JSON columns in databases that support it.

Common Use Cases

  • API Data Import: Convert API response data into SQL INSERT statements for loading into a reporting database.
  • Database Migration: Move data from MongoDB or other document stores into relational databases.
  • Data Warehousing: Transform JSON log files or event streams into structured SQL tables for analytics.
  • Seed Scripts: Generate SQL seed data from JSON fixtures for development and testing environments.
  • Quick Schema Design: Rapidly prototype table schemas from sample JSON data.

How to Use This Tool

  1. Paste your JSON array or object into the input area.
  2. Enter the target table name.
  3. Click Convert to generate SQL INSERT statements.
  4. Copy the SQL for use in your database client.

Why Use This Tool?

  • Quickly convert JSON data to SQL INSERT statements.
  • Perfect for seeding databases or migrating data.
  • Handles data type detection automatically.
  • Supports multiple SQL dialects.

Frequently Asked Questions

Which SQL dialect does this generate?

The generated SQL uses standard ANSI SQL syntax that works with most databases. Minor adjustments may be needed for database-specific data types (e.g., NVARCHAR for SQL Server, TEXT for PostgreSQL).

How are nested JSON objects handled?

Nested objects are typically stored as JSON columns (using the database's native JSON type) or flattened into separate columns with dot-notation naming. The approach depends on your database's JSON support and your query requirements.