DevBolt
Processed in your browser. Your data never leaves your device.

JSON to MySQL Converter

Generate MySQL-compatible SQL from JSON data. This tool automatically infers MySQL types and uses backtick quoting, proper string escaping, and MySQL-specific syntax.

← Back to tools

JSON to SQL Converter

Convert JSON arrays to SQL CREATE TABLE and INSERT statements. Supports PostgreSQL, MySQL, and SQLite with automatic type inference.

About JSON to SQL Conversion

  • Automatically infers SQL column types from JSON values — integers, floats, booleans, dates, UUIDs, and text.
  • Supports PostgreSQL, MySQL, and SQLite with dialect-specific syntax (quoting, types, booleans).
  • Generates CREATE TABLE with NOT NULL constraints and INSERT statements with proper escaping.
  • Batch INSERT mode combines all rows into a single statement for faster bulk loading.
  • Nested objects and arrays are serialized as JSON/JSONB (PostgreSQL) or TEXT (SQLite).
  • Everything runs in your browser — no data is sent over the network.

Why convert JSON to MySQL?

MySQL powers a huge share of web applications, and importing JSON data into MySQL tables is a common task for seeding databases, migrating data, and creating test fixtures. This tool generates MySQL-specific SQL with backtick-quoted identifiers, VARCHAR/TEXT types with appropriate lengths, and MySQL-compatible boolean handling. It handles the escaping and formatting so you can focus on your data.

MySQL type mapping

The converter maps JSON types to MySQL equivalents: INTEGER and BIGINT for numbers, DOUBLE for decimals, BOOLEAN for true/false, DATE and DATETIME for date strings, JSON for nested objects (MySQL 5.7+), and VARCHAR(n) for short strings. String lengths are rounded up to practical sizes to accommodate slight variations in data.

Frequently Asked Questions

Does the tool use backtick quoting for MySQL?

Yes. All table and column names are wrapped in backticks (`) as is standard MySQL practice. This ensures reserved words and special characters in column names are handled correctly.

Is the output compatible with MySQL 5.7 and 8.x?

Yes. The generated SQL uses standard MySQL syntax compatible with both MySQL 5.7 and 8.x. JSON column types require MySQL 5.7.8 or later.

Related Convert Tools