Add JSON data
Paste a JSON object or array of objects, or upload a valid .json file up to 10 MB.
Turn JSON objects and arrays into database-ready SQL with inferred column types, safe values, configurable identifiers, and clean formatted statements.
Generate structured SQL from JSON data in three controlled steps.
Paste a JSON object or array of objects, or upload a valid .json file up to 10 MB.
Choose a table name and database dialect, then select table creation, flattening, and insert options.
Review the generated SQL, copy it to your clipboard, or download a clean .sql file.
JSON has flexible values, while SQL tables require consistent columns and database-specific identifiers. This converter examines every record, combines available keys, infers useful column types, and generates escaped statements for your selected dialect.
Nested objects can be flattened into columns such as profile_name. Arrays and unflattened objects are stored as compact JSON text, while quotes in string values are safely doubled for SQL literals.
Designed for data imports, prototypes, migrations, test fixtures, and development workflows.
Your JSON is parsed locally in the browser and is never uploaded to the website server.
Text values and identifiers are escaped according to the selected database style.
Keys from every record are collected so rows with missing fields remain aligned.
Important details about JSON structure and generated SQL.
An array of objects works best because each object becomes a database row. A single object is also supported.
The generator provides identifier quoting and common data types for MySQL, PostgreSQL, SQLite, and SQL Server.
With flattening enabled, nested keys become columns such as address_city. Otherwise, objects and arrays are saved as JSON text.
Values are escaped for generated scripts, but you should still review SQL and use parameterized queries when accepting live application input.
No. Parsing, type inference, statement generation, copying, and download creation happen locally in your browser.
If a record does not contain a column found in other records, the generated value for that field is NULL.