Why Convert JSON to SQL?

Database Migration

Easily move data from NoSQL databases or JSON files to relational SQL databases.

Quick Setup

Generate database schemas from API responses or sample data in seconds.

Data Import

Import JSON files directly into relational databases with proper INSERT statements.

Testing

Create test databases quickly from sample JSON data for development and QA.

How to Convert JSON to SQL

1

Paste JSON

Paste your JSON array or object into the editor

2

Open Export

Click the export dropdown in the toolbar

3

Select SQL

Choose "SQL" format from the export options

4

Download SQL

Download your SQL file with CREATE TABLE and INSERT statements

Example: JSON to SQL Conversion

Input JSON

[
  {
    "id": 1,
    "name": "John Doe",
    "email": "john@example.com",
    "age": 30,
    "is_active": true
  },
  {
    "id": 2,
    "name": "Jane Smith",
    "email": "jane@example.com",
    "age": 25,
    "is_active": true
  },
  {
    "id": 3,
    "name": "Bob Wilson",
    "email": "bob@example.com",
    "age": 35,
    "is_active": false
  }
]

Generated SQL

-- Generated by JSON Purrser
-- https://jsonpurrser.com

CREATE TABLE data_table (
  id INTEGER PRIMARY KEY,
  name VARCHAR(255) NOT NULL,
  email VARCHAR(255) NOT NULL,
  age INTEGER NOT NULL,
  is_active BOOLEAN NOT NULL
);

INSERT INTO data_table (id, name, email, age, is_active)
VALUES (1, 'John Doe', 'john@example.com', 30, TRUE);

INSERT INTO data_table (id, name, email, age, is_active)
VALUES (2, 'Jane Smith', 'jane@example.com', 25, TRUE);

INSERT INTO data_table (id, name, email, age, is_active)
VALUES (3, 'Bob Wilson', 'bob@example.com', 35, FALSE);

JSON to SQL Generator Features

Intelligent Type Inference

Automatically detects data types and maps them to appropriate SQL types: VARCHAR, INTEGER, BOOLEAN, TEXT, and more.

Nested Object Handling

Flattens nested objects using underscore notation (e.g., user_address_city) for compatibility with flat table structures.

Array Support

Handles JSON arrays by converting them to JSON TEXT columns or creating separate insert statements for each item.

SQL Injection Prevention

All values are properly escaped and sanitized to prevent SQL injection attacks in the generated statements.

NULL Value Handling

Properly handles null values in JSON, converting them to SQL NULL and adjusting column constraints accordingly.

Multi-Database Compatible

Generated SQL is compatible with MySQL, PostgreSQL, SQLite, and most standard SQL databases.

Supported Databases

My

MySQL

Full MySQL support with AUTO_INCREMENT, proper data types, and MySQL-specific syntax.

Pg

PostgreSQL

Compatible with PostgreSQL SERIAL keys, JSONB columns, and PostgreSQL data types.

SQ

SQLite

Works with SQLite's simpler type system and ROWID-based primary keys.

MS

SQL Server

Can be adapted for Microsoft SQL Server with minor syntax adjustments.

Common Use Cases

API Data Import

Import API responses directly into your SQL database. Perfect for data pipelines, ETL processes, and syncing external data sources with your relational database.

Database Prototyping

Quickly create database schemas from sample data for testing and development. Great for rapidly prototyping new features or setting up test environments.

Data Migration

Migrate data from MongoDB, Firebase, CouchDB, or other NoSQL databases to SQL. Convert JSON exports to SQL INSERT statements for bulk data transfer.

Backup and Restore

Convert JSON backups to SQL for easy restoration. Store your data in both formats for flexibility and cross-platform compatibility.

Frequently Asked Questions

What SQL databases are supported?

The generated SQL is compatible with MySQL, PostgreSQL, SQLite, MariaDB, and most standard SQL databases. Minor syntax adjustments may be needed for database-specific features.

How are data types determined?

We analyze your JSON data and infer the appropriate SQL types. Numbers become INTEGER or DECIMAL, strings become VARCHAR, booleans become BOOLEAN, and complex objects become TEXT or JSON columns.

What happens with nested JSON objects?

Nested objects are flattened using underscore notation. For example, {"user": {"name": "John"}} becomes a column named "user_name". Very deep nesting may be stored as JSON TEXT.

Can it handle JSON arrays?

Yes! JSON arrays of objects are converted to multiple INSERT statements, one per item. Simple arrays within objects are stored as JSON TEXT columns.

Is the generated SQL safe from injection?

Yes, all string values are properly escaped with single quotes doubled and special characters handled. The output is safe to run directly in your database.

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JSON to SQL Converter