JSON to Language Struct / Class Generator
About JSON → SQL Table
The JSON to SQL `CREATE TABLE` & `INSERT INTO` Statement Generator transforms JSON objects and array datasets into SQL DDL schema statements and bulk INSERT queries across PostgreSQL, MySQL, SQLite, SQL Server, and Oracle.
How to Use JSON → SQL Table
Step 1
Paste your JSON array or object into the input area.
Step 2
Select your SQL database dialect (PostgreSQL, MySQL, SQLite, etc.).
Step 3
Specify target table name (e.g. `users` or `inventory`).
Step 4
Click "Copy SQL".
Practical Use Cases for JSON → SQL Table
Bootstrapping SQL Database Tables from API Data
Generate `CREATE TABLE` schemas with appropriate column types (`VARCHAR`, `INT`, `DECIMAL`, `BOOLEAN`, `JSONB`) from JSON samples.
Importing JSON Datasets via SQL INSERT Statements
Convert an array of JSON objects into batch `INSERT INTO table (col1, col2) VALUES (...)` queries for database population.
Input & Output Examples
Converting JSON Array to PostgreSQL CREATE TABLE & INSERT
`[{"id": 1, "name": "Widget", "price": 19.99, "active": true}]``CREATE TABLE products (\n id INT PRIMARY KEY,\n name VARCHAR(255) NOT NULL,\n price NUMERIC(10, 2) NOT NULL,\n active BOOLEAN NOT NULL\n);\n\nINSERT INTO products (id, name, price, active) VALUES (1, 'Widget', 19.99, TRUE);`
Key Features & Performance
- ✓SQL Dialects: PostgreSQL, MySQL, SQLite, Microsoft SQL Server (T-SQL), and Oracle.
- ✓Generates both DDL (`CREATE TABLE`) and DML (`INSERT INTO`) statements.
- ✓Smart type mapping: `VARCHAR`, `TEXT`, `INT`, `BIGINT`, `NUMERIC`, `BOOLEAN`, `TIMESTAMP`, `JSONB`.
- ✓100% Client-Side memory execution.
- ✓1-Click Copy SQL script.
Key Terminology & Definitions
DDL (Data Definition Language)
SQL commands used to define database structures, including `CREATE TABLE`, `ALTER TABLE`, and constraints.
SQL Escaping
Escaping single quotes (`'`) in strings as `''` to prevent SQL syntax breaks and injection issues.