SQL Output
SQL output will appear here
Paste JSON on the left to generate SQL (CREATE + INSERT). Or load sample data to see a demo.
Try JSON to SQL with sample input
JSON to SQL
Convert JSON to SQL for PostgreSQL, MySQL, or SQLite
How to convert JSON to SQL
Paste JSON on the left, choose a SQL dialect, then copy or download the generated CREATE TABLE + INSERT.
1
Paste JSON input
Paste your JSON into the editor. If you want a quick demo, click “Sample”.
Supports nested JSON - Objects and arrays are handled correctly.
Instant validation - Invalid JSON shows an error message.
JSON Input Example
[
{
"id": 1,
"name": "Alice",
"email": "[email protected]",
"active": true,
"age": 28,
"meta": { "plan": "pro", "region": "US" }
},
{
"id": 2,
"name": "Bob",
"email": "[email protected]",
"active": false,
"age": 31,
"meta": { "plan": "free", "region": "CN" }
}
]2
Review SQL output
Choose a SQL dialect (PostgreSQL/MySQL/SQLite). The generated SQL will appear on the right panel as you type.
Database-friendly - Great for imports and migrations.
Readable formatting - Clean SQL output for humans.
SQL Output Example
-- Dialect: postgres
CREATE TABLE "data" (
"id" INTEGER NOT NULL PRIMARY KEY,
"name" TEXT,
"email" TEXT,
"active" BOOLEAN,
"age" INTEGER,
"meta" JSONB
);
INSERT INTO "data" ("id", "name", "email", "active", "age", "meta") VALUES
(1, 'Alice', '[email protected]', TRUE, 28, '{"plan":"pro","region":"US"}'),
(2, 'Bob', '[email protected]', FALSE, 31, '{"plan":"free","region":"CN"}');
3
Copy or download SQL
Use “Copy” to copy SQL to your clipboard, or “Download” to save it as a .sql file.
One-click copy - Copy SQL output instantly.
Download .sql - Save SQL output as a file for sharing.
Copy or download SQL
2 Actions
Download
Download SQL as output.sql
Copy
Copy SQL output to clipboard
Tip: Review table/column names before running SQL in production.
JSON to SQL FAQs
Common questions about converting JSON to SQL
A JSON to SQL converter is a powerful tool that transforms JSON data into executable SQL statements, typically including CREATE TABLE and INSERT commands. This makes it easy to import JSON data from APIs, NoSQL databases, application exports, or data dumps directly into relational databases like PostgreSQL, MySQL, or SQLite. Our JSON to SQL converter analyzes your JSON structure, infers appropriate column types, generates the table schema, and creates INSERT statements for all your data—eliminating the manual work of writing SQL DDL and DML statements for JSON data imports.
The JSON to SQL converter supports multiple database dialects: PostgreSQL, MySQL, and SQLite. You can choose your target database from the Dialect selector, and the output will automatically adjust for that database's syntax—including data type mapping (e.g., SERIAL vs AUTO_INCREMENT), identifier quoting (backticks for MySQL, double quotes for PostgreSQL), boolean value representation (TRUE/FALSE vs 1/0), and SQL-specific features. The How-to example demonstrates PostgreSQL output format. This multi-dialect support ensures the generated SQL works correctly when you paste it into your database console, migration scripts, or ORM tools.
No. All JSON to SQL conversion happens entirely in your browser using client-side JavaScript. Your JSON data never leaves your device or gets uploaded to any server. This privacy-by-design approach ensures complete data security and GDPR compliance, making it safe to convert sensitive data like customer records, financial transactions, user databases, or proprietary business information. The converter works offline once the page is loaded, allowing you to generate SQL statements from confidential JSON data with full confidence in privacy and security.
The JSON to SQL converter intelligently analyzes your JSON data to infer appropriate SQL column types. JSON strings become VARCHAR or TEXT columns, JSON numbers are mapped to INTEGER or NUMERIC types (detecting decimals), JSON booleans convert to BOOLEAN or TINYINT depending on the SQL dialect, and the converter handles NULL values correctly. For arrays and nested objects, the tool may flatten structures or create separate related tables. The type inference examines all rows in your JSON array to determine the most appropriate column types, sizes, and constraints for your database schema.
Yes! The JSON to SQL converter generates production-ready SQL that can be used directly in database migration scripts, seed files, or schema initialization. The output includes CREATE TABLE statements with appropriate column definitions and INSERT statements with properly escaped values. This makes it perfect for converting JSON fixtures, test data, or API responses into migration scripts for Rails, Django, Laravel, Entity Framework, or any database migration tool. You can copy the generated SQL into your migration files, execute it in database consoles, or use it to populate staging and development databases with realistic data.
Since SQL databases use flat table structures, the JSON to SQL converter handles nested data through flattening strategies. Simple nested objects can be flattened into columns with dotted names (e.g., user.address.city becomes user_address_city). For JSON arrays, the converter may create numbered columns, serialize arrays as JSON/JSONB columns (PostgreSQL), or suggest creating separate related tables with foreign key relationships. The conversion approach depends on your data structure and selected SQL dialect. For complex nested data, you may need to normalize the output into multiple related tables for proper relational database design.
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