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

Name: JSON to SQL INSERT Converter
Availability: InStock
Author: Nham Vu

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

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

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: 2026-06-10 · Reviewed by Nham Vu