JSON to SQL Converter [2025]

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Transform JSON data into SQL statements with intelligent type inference and formatting. Perfect for data migration and database population.

✓ Smart Type Inference✓ Table Creation✓ Batch Inserts

Key Features

  • Intelligent SQL type inference based on JSON data types and values.
  • Automatic CREATE TABLE statement generation with proper column definitions.
  • Configurable batch size for INSERT statements to optimize performance.
  • Proper handling of special characters and SQL string escaping.
  • Support for timestamp columns and automatic updates.
  • Optional backtick quoting for identifier compatibility.
  • Browser-based conversion with no server dependency.
  • Support for large JSON files up to 10MB.

Common Use Cases

Data Migration

  • • Legacy system migration
  • • Database seeding
  • • Test data generation
  • • Backup restoration

Development

  • • API data import
  • • Database setup
  • • Testing fixtures
  • • Schema migration

Integration

  • • System integration
  • • Data synchronization
  • • Batch processing
  • • Content migration

Type Inference Examples

Data Types

JSON Input:

{
  "id": 123,
  "name": "John Doe",
  "balance": 1234.56,
  "isActive": true,
  "createdAt": "2024-02-15T10:00:00Z",
  "metadata": {"key": "value"}
}

Inferred SQL Types:

CREATE TABLE `data` (
  `id` INT,
  `name` VARCHAR(255),
  `balance` DECIMAL(10,2),
  `isActive` BOOLEAN,
  `createdAt` DATETIME,
  `metadata` JSON
);

Frequently Asked Questions

How does type inference work?

The converter analyzes your JSON data to determine the most appropriate SQL data types. Numbers are categorized as INT, BIGINT, or DECIMAL based on their values. Dates are detected using ISO format, and long strings automatically become TEXT fields. The inference system ensures optimal column types for your data.

Why use batch inserts?

Batch inserts significantly improve performance when importing large datasets. Instead of creating a separate INSERT statement for each row, the converter groups multiple rows into a single INSERT statement. You can adjust the batch size to optimize for your specific database and data volume.

How are special characters handled?

Special characters in your data are properly escaped to prevent SQL injection and ensure data integrity. Single quotes are escaped, and strings containing special characters are properly quoted. The converter also handles newlines, tabs, and other special characters according to SQL standards.

What databases are supported?

The generated SQL is compatible with MySQL and MariaDB by default. The syntax follows standard SQL conventions, making it easy to adapt for other databases. You can toggle features like backtick quoting and timestamp columns to match your database requirements.

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