What JSON format is required?

The input must be a JSON array of objects, e.g. [{"id":1,"name":"Alice"},{"id":2,"name":"Bob"}]. All objects should share the same keys, though missing keys will be inserted as NULL.

How are data types handled?

Strings are wrapped in single quotes with single-quote escaping. Numbers and booleans are inserted as literals. Null values become SQL NULL. Objects and arrays are serialized to a JSON string.

What dialects are supported?

MySQL/MariaDB, PostgreSQL, SQLite, and SQL Server (T-SQL). The main difference is identifier quoting: backticks for MySQL, double-quotes for PostgreSQL and SQLite, and square brackets for SQL Server.

Is there a row limit?

There is no hard limit in the tool itself, but very large payloads may slow your browser. For production migrations with millions of rows, use a server-side ETL tool instead.

Does this store my data?

No. All conversion happens entirely in your browser. Your JSON never leaves your machine.

JSON to SQL INSERT Converter

Paste a JSON array of objects, enter a table name, and instantly get ready-to-run SQL INSERT statements.

JSON Input

Options

Table Name

SQL Dialect

Insert Mode

Single multi-row INSERT One INSERT per row

Add trailing semicolon

SQL Output

Sample Data

Copied!

Summary

This tool converts a JSON array of objects into SQL INSERT statements. Paste your JSON, specify a table name, choose a SQL dialect (MySQL, PostgreSQL, SQLite, or SQL Server), and get clean INSERT statements you can run immediately. The converter handles strings, numbers, booleans, nulls, and nested objects automatically.

How it works

Paste a JSON array of objects into the input field.
Enter the target table name.
Select your SQL dialect (MySQL, PostgreSQL, SQLite, or SQL Server).
Choose between a single multi-row INSERT or individual INSERT per row.
Click Convert to generate the SQL statements.
Copy the output and run it directly in your database.

Use cases

Seed a database table from a JSON export or API response.
Migrate data from a REST API into a relational database.
Generate test fixture INSERT statements from JSON test data.
Quickly populate a development database without writing SQL by hand.
Convert JSON configuration data into a lookup table.
Transform JSON log data into a queryable SQL table.

Frequently Asked Questions

Last updated: 2026-05-23 · Reviewed by Nham Vu