JSON to SQL Converter

Convert your JSON data to SQL format with our powerful online tool. Features include table creation, primary key support, and real-time preview.

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Table Name

Primary Key (Optional)

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What is a JSON to SQL Converter?

Use this to generate CREATE TABLE and INSERT statements for seeding a database from a JSON export, without writing the schema by hand.

A JSON to SQL converter takes the keys and value types in your JSON and turns them into column definitions plus matching INSERT rows, which is handy for migrating data between a document store and a relational database.

This tool supports automatic table creation, primary key configuration, and direct download of the resulting .sql file, so you can move quickly from a JSON sample to a seeded table.

How to Use Our JSON to SQL Converter

Paste your JSON data into the left editor or click the sample data button to load example JSON
Enter your desired table name in the table name input field
Optionally configure a primary key column for your CREATE TABLE statement
The tool validates your JSON and automatically generates SQL with CREATE TABLE and INSERT statements
Preview the generated SQL output with proper data type mappings in the right editor
Copy the SQL to clipboard or download it as a .sql file ready for database import

Examples

Seed a users table from a JSON export

A typical scenario: you exported two user records from a NoSQL store and need matching INSERT statements for a fresh MySQL schema.

Input

[
  { "id": 1, "email": "alice@acme.io", "age": 28, "active": true },
  { "id": 2, "email": "bob@acme.io",   "age": 34, "active": false }
]

Output

INSERT INTO users (id, email, age, active)
VALUES (1, 'alice@acme.io', 28, TRUE);
INSERT INTO users (id, email, age, active)
VALUES (2, 'bob@acme.io', 34, FALSE);

Generate CREATE TABLE + INSERT for a product catalog

When setting id as the primary key, the tool emits the schema definition before the INSERT rows.

Input

[
  { "id": 101, "name": "Mechanical Keyboard", "price": 129.99, "in_stock": true },
  { "id": 102, "name": "USB-C Hub",          "price": 39.5,   "in_stock": false }
]

Output

CREATE TABLE products (
  id INT PRIMARY KEY,
  name VARCHAR(255),
  price FLOAT,
  in_stock BOOLEAN
);
INSERT INTO products (id, name, price, in_stock)
VALUES (101, 'Mechanical Keyboard', 129.99, TRUE);
INSERT INTO products (id, name, price, in_stock)
VALUES (102, 'USB-C Hub', 39.5, FALSE);

JSON specification reference

Quick reference from RFC 8259. The converter enforces these rules on input; anything outside them is rejected or normalized.

Element	Meaning	Example
Object	Unordered set of key/value pairs	{"a": 1}
Array	Ordered list of values	[1, 2, "x"]
String	Unicode, double-quoted only	"hello"
Number	IEEE 754 double, no NaN / Infinity	3.14
Literal	true / false / null only	null

Common invalid forms

{'a': 1}  // single quotes not allowed
{a: 1}    // unquoted keys
{"a": 1,} // trailing comma
NaN       // not permitted by RFC 8259

Key Features

Auto CREATE TABLE: Automatically generates CREATE TABLE statements with inferred column types based on your JSON data
Smart Type Inference: Maps JSON types to SQL types — strings to VARCHAR, numbers to INT/FLOAT, booleans to BOOLEAN
Primary Key Config: Configure a primary key column for your table, essential for proper database design
Batch INSERT Statements: Generates INSERT statements for all records in your JSON array, ready to execute
100% Client-Side: All conversion happens in your browser — your data never leaves your device, ensuring complete privacy

Frequently Asked Questions

Q: Can I convert a single JSON object or does it require an array?

Both formats are supported. A JSON array of objects generates multiple INSERT statements (one per array element), while a single JSON object produces one INSERT statement. The CREATE TABLE statement is generated in both cases based on the keys and value types found in your data, so you can work with any standard JSON structure.

Q: Which SQL dialects does the converter support?

The converter generates standard SQL INSERT statements that are compatible with most relational databases including MySQL, PostgreSQL, SQLite, and SQL Server. The generated SQL uses widely supported syntax to ensure maximum compatibility.

Q: How does the converter determine SQL column types from JSON?

The converter automatically infers SQL data types from JSON values. Strings become VARCHAR, numbers become INT or FLOAT, booleans become BOOLEAN, and null values are handled appropriately. This automatic type detection makes it easy to generate ready-to-use SQL statements.

Q: Are there any file size limitations?

There is no hard file size limit. Since all processing happens in your browser, the practical limit depends on your device's available memory. Most modern browsers can handle JSON files up to several megabytes without issues.

Q: Does the generated SQL handle special characters and escaping?

Yes. String values containing single quotes and other special characters are properly escaped in the generated SQL statements. This ensures the output is safe to execute directly in your database without causing syntax errors.

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JSON to SQL Converter

Convert your JSON data to SQL format with our powerful online tool. Features include table creation, primary key support, and real-time preview.

Loading editors...

Auto Sync

Automatically sync from left

Table Name

Primary Key (Optional)

Loading editors...

What is a JSON to SQL Converter?

Use this to generate CREATE TABLE and INSERT statements for seeding a database from a JSON export, without writing the schema by hand.

This tool supports automatic table creation, primary key configuration, and direct download of the resulting .sql file, so you can move quickly from a JSON sample to a seeded table.

How to Use Our JSON to SQL Converter

Paste your JSON data into the left editor or click the sample data button to load example JSON
Enter your desired table name in the table name input field
Optionally configure a primary key column for your CREATE TABLE statement
The tool validates your JSON and automatically generates SQL with CREATE TABLE and INSERT statements
Preview the generated SQL output with proper data type mappings in the right editor
Copy the SQL to clipboard or download it as a .sql file ready for database import

Examples

Seed a users table from a JSON export

A typical scenario: you exported two user records from a NoSQL store and need matching INSERT statements for a fresh MySQL schema.

Input

[
  { "id": 1, "email": "alice@acme.io", "age": 28, "active": true },
  { "id": 2, "email": "bob@acme.io",   "age": 34, "active": false }
]

Output

INSERT INTO users (id, email, age, active)
VALUES (1, 'alice@acme.io', 28, TRUE);
INSERT INTO users (id, email, age, active)
VALUES (2, 'bob@acme.io', 34, FALSE);

Generate CREATE TABLE + INSERT for a product catalog

When setting id as the primary key, the tool emits the schema definition before the INSERT rows.

Input

[
  { "id": 101, "name": "Mechanical Keyboard", "price": 129.99, "in_stock": true },
  { "id": 102, "name": "USB-C Hub",          "price": 39.5,   "in_stock": false }
]

Output

CREATE TABLE products (
  id INT PRIMARY KEY,
  name VARCHAR(255),
  price FLOAT,
  in_stock BOOLEAN
);
INSERT INTO products (id, name, price, in_stock)
VALUES (101, 'Mechanical Keyboard', 129.99, TRUE);
INSERT INTO products (id, name, price, in_stock)
VALUES (102, 'USB-C Hub', 39.5, FALSE);

JSON specification reference

Quick reference from RFC 8259. The converter enforces these rules on input; anything outside them is rejected or normalized.

Element	Meaning	Example
Object	Unordered set of key/value pairs	{"a": 1}
Array	Ordered list of values	[1, 2, "x"]
String	Unicode, double-quoted only	"hello"
Number	IEEE 754 double, no NaN / Infinity	3.14
Literal	true / false / null only	null

Common invalid forms

{'a': 1}  // single quotes not allowed
{a: 1}    // unquoted keys
{"a": 1,} // trailing comma
NaN       // not permitted by RFC 8259

Key Features

Auto CREATE TABLE: Automatically generates CREATE TABLE statements with inferred column types based on your JSON data
Smart Type Inference: Maps JSON types to SQL types — strings to VARCHAR, numbers to INT/FLOAT, booleans to BOOLEAN
Primary Key Config: Configure a primary key column for your table, essential for proper database design
Batch INSERT Statements: Generates INSERT statements for all records in your JSON array, ready to execute
100% Client-Side: All conversion happens in your browser — your data never leaves your device, ensuring complete privacy