JSON to SQL Converter - Transform JSON into Database Queries

JSON has become the standard format for data exchange in web applications and APIs. But importing JSON data into relational databases requires converting it to SQL. AI2sql JSON to SQL Converter handles this transformation automatically, supporting nested objects, arrays, and complex structures.

Why Convert JSON to SQL?

Common scenarios requiring JSON to SQL conversion:

• Importing API response data into your database

• Migrating from NoSQL (MongoDB) to SQL databases

• Processing webhook payloads

• Loading configuration data

• Archiving JSON log files to databases

Supported JSON Structures

Flat JSON Objects

{"name": "John", "email": "john@email.com", "age": 30}

Arrays of Objects

[
  {"id": 1, "name": "Product A", "price": 29.99},
  {"id": 2, "name": "Product B", "price": 49.99}
 ]

Nested Objects

{
  "order": {
  "id": 123,
  "customer": {"name": "John", "email": "john@email.com"},
  "items": [{"sku": "A1", "qty": 2}, {"sku": "B2", "qty": 1}]
  }
 }

Conversion Examples

Simple Array to INSERT

JSON Input:

[
  {"name": "John", "email": "john@email.com"},
  {"name": "Jane", "email": "jane@email.com"}
 ]

SQL Output:

INSERT INTO users (name, email) VALUES
 ('John', 'john@email.com'),
 ('Jane', 'jane@email.com');

Nested JSON Flattening

JSON Input:

{
  "user": {
  "profile": {"name": "John", "age": 30},
  "contact": {"email": "john@email.com", "phone": "555-1234"}
  }
 }

SQL Output:

INSERT INTO users (profile_name, profile_age, contact_email, contact_phone)
 VALUES ('John', 30, 'john@email.com', '555-1234');

Array Field Handling

Arrays within objects can be handled multiple ways:

• Store as JSON string in TEXT/JSON column

• Expand to separate rows in related table

• Extract first/last element only

Features

Auto Schema Detection

Analyzes your JSON structure and generates appropriate CREATE TABLE statements with correct data types.

NULL Handling

Missing keys and null values are properly converted to SQL NULL.

Type Coercion

Handles mixed types intelligently - numbers stored as strings, boolean variations, etc.

Large File Support

Process JSON files with thousands of records efficiently.

Database-Specific Features

PostgreSQL JSONB

Option to store nested structures directly in JSONB columns:

INSERT INTO orders (id, data) VALUES
 (1, '{"customer": {"name": "John"}, "items": [...]}'::jsonb);

MySQL JSON

Use MySQL native JSON type for flexible querying:

INSERT INTO events (id, payload) VALUES
 (1, JSON_OBJECT('type', 'click', 'timestamp', NOW()));

Use Cases

API Data Import

Convert REST API responses directly to database inserts for data warehousing.

MongoDB Migration

Export MongoDB collections as JSON and convert to SQL for migration to relational databases.

Event Processing

Store webhook payloads and event data in structured database tables.

Configuration Management

Import JSON configuration files into database-driven configuration systems.

Convert Your JSON to SQL

Paste your JSON data or upload a file, and get database-ready SQL in seconds. Handle any JSON structure with AI2sql intelligent converter.