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JSON to SQL: Generate CREATE TABLE & INSERT Statements

Convert JSON arrays to SQL INSERT statements and CREATE TABLE DDL instantly. Supports PostgreSQL, MySQL, SQLite. Free, browser-only JSON to SQL generator.

From JSON API Data to SQL Database in Seconds

When migrating data from a NoSQL source, API export, or JSON fixture into a relational database, you need both a table schema and INSERT statements. Our generator produces both from your JSON array automatically.

Generated SQL Output Includes

  • CREATE TABLE statement with inferred column types
  • INSERT INTO statements for each JSON object/row
  • Proper SQL escaping for string values
  • NULL handling for missing or null JSON values

Supported SQL Dialects

  • PostgreSQL: Uses TEXT, INTEGER, NUMERIC, BOOLEAN, TIMESTAMP
  • MySQL: Uses VARCHAR(255), INT, DOUBLE, TINYINT(1), DATETIME
  • SQLite: Uses TEXT, INTEGER, REAL
json
// JSON Input
[
  { "id": 1, "name": "Alice", "score": 9.5, "active": true },
  { "id": 2, "name": "Bob",   "score": 8.1, "active": false }
]

-- Generated SQL (PostgreSQL)
CREATE TABLE users (
  id      INTEGER,
  name    TEXT,
  score   NUMERIC,
  active  BOOLEAN
);

INSERT INTO users (id, name, score, active) VALUES
  (1, 'Alice', 9.5, TRUE),
  (2, 'Bob', 8.1, FALSE);

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Frequently Asked Questions

Which SQL dialects are supported?

PostgreSQL, MySQL, and SQLite. Switch the dialect using the toolbar dropdown before generating.

How are nested JSON objects handled in SQL output?

Nested objects are serialized as JSON strings in a TEXT column. Flat relational structures produce the cleanest SQL output.

Are string values properly SQL-escaped?

Yes. Single quotes in string values are escaped to prevent SQL injection-style syntax errors.

Tools mentioned in this guide

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