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Database query generator

JSON to SQL Converter

Turn JSON objects and arrays into database-ready SQL with inferred column types, safe values, configurable identifiers, and clean formatted statements.

JSON Input

SQL Output

0 rows0 columns0 B

Local browser processing Instant SQL generation No signup

How to Convert JSON to SQL

Generate structured SQL from JSON data in three controlled steps.

STEP 01

Add JSON data

Paste a JSON object or array of objects, or upload a valid .json file up to 10 MB.

STEP 02

Configure the SQL

Choose a table name and database dialect, then select table creation, flattening, and insert options.

STEP 03

Export statements

Review the generated SQL, copy it to your clipboard, or download a clean .sql file.

SQL Generation with Practical Type Inference

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.

  • Supports MySQL, PostgreSQL, SQLite, and SQL Server syntax
  • Infers integer, decimal, boolean, text, and null-friendly columns
  • Creates single or multi-row INSERT statements
JSON
SQL

Why Use This JSON to SQL Converter?

Designed for data imports, prototypes, migrations, test fixtures, and development workflows.

Private processing

Your JSON is parsed locally in the browser and is never uploaded to the website server.

Safer literals

Text values and identifiers are escaped according to the selected database style.

Consistent columns

Keys from every record are collected so rows with missing fields remain aligned.

Frequently Asked Questions

Important details about JSON structure and generated SQL.

What JSON structure works best?

An array of objects works best because each object becomes a database row. A single object is also supported.

Which SQL databases are supported?

The generator provides identifier quoting and common data types for MySQL, PostgreSQL, SQLite, and SQL Server.

How are nested JSON objects handled?

With flattening enabled, nested keys become columns such as address_city. Otherwise, objects and arrays are saved as JSON text.

Does the converter prevent SQL injection?

Values are escaped for generated scripts, but you should still review SQL and use parameterized queries when accepting live application input.

Is my JSON uploaded to the server?

No. Parsing, type inference, statement generation, copying, and download creation happen locally in your browser.

How are missing JSON fields represented?

If a record does not contain a column found in other records, the generated value for that field is NULL.