Quick Tip: Paste a JSON array of objects — each object becomes one SQL row. Table name and dialect (MySQL, PostgreSQL, SQLite) are configurable.
JSON Input

Editor Empty

Paste JSON or drop a file to begin

SQL Result

JSON to SQL INSERT Generator

Convert JSON to SQL INSERT statements instantly — no coding required. Paste any JSON object or array and get production-ready INSERT INTO SQL for MySQL, PostgreSQL, SQLite, or generic SQL dialects.

  • Multi-dialect Support: MySQL, PostgreSQL, SQLite, and ANSI SQL.
  • Automatic Type Mapping: Strings, numbers, booleans, nulls, and nested objects handled correctly.
  • Batch INSERT: Configurable rows-per-statement for large datasets.
  • Sparse Column Handling: Missing keys across rows are automatically filled with NULL.

Why Convert JSON to SQL?

APIs, data exports, and modern apps all speak JSON. But relational databases — MySQL, PostgreSQL, SQLite — speak SQL. This tool bridges that gap: take any JSON payload you have and immediately seed your database without writing tedious INSERT boilerplate by hand.

JSON to SQL Conversion Guide

How It Works

The converter reads your JSON, extracts column names from the object keys (across all rows), and generates INSERT INTO <table> (<columns>) VALUES (<rows>); statements with properly escaped values.

JSON input

[
  { "id": 1, "name": "Alice", "active": true },
  { "id": 2, "name": "Bob",   "active": false }
]

SQL output

INSERT INTO "my_table" ("id", "name", "active")
VALUES
  (1, 'Alice', TRUE),
  (2, 'Bob', FALSE);

SQL Dialect Differences

MySQL

Uses backtick (`) quoting for identifiers, compatible with MySQL 5.7, 8.0, and MariaDB.

PostgreSQL

Uses ANSI double-quote (") identifiers. Safe for Postgres 12+ and Supabase.

SQLite

Uses double-quote identifiers. Works with SQLite 3.x and any ORM using SQLite (Prisma, Sequelize, etc.).

Common Use Cases

Database Seeding

Take a JSON fixture from your test suite and generate seed SQL for CI/CD pipelines or staging environments.

API Response → DB Row

Convert a paginated API response (array of objects) directly into INSERT rows for a data warehouse or analytics table.

No-code Data Migration

Move data from a JSON-based tool (Airtable export, Notion export) into a SQL database without writing migration scripts.


Frequently Asked Questions

Is my data safe with this JSON tool?

Yes. This tool uses 100% client-side processing. Your JSON data never leaves your browser and is never sent to our servers, ensuring maximum privacy and security.

Does this tool work offline?

Once the page has loaded, all processing happens locally in your browser. You can disconnect from the internet and the tool will continue to work — no server connection is required to format, validate, or convert your JSON.

Is there a file size limit?

No server-side limits apply because everything runs in your browser. Practical limits depend on your device's memory, but modern browsers handle JSON files of tens of megabytes without issue.

What JSON shapes can be converted to SQL?

The tool accepts a JSON array of objects (each object becomes one row) or a single JSON object (one row). Primitive arrays like [1, 2, 3] cannot be converted because there are no column names to map to.

How are nested objects handled?

Nested objects and arrays are serialized as JSON strings in the SQL output. For example, a field {"meta": {"tag": "foo"}} becomes a TEXT column containing the JSON string '{"tag":"foo"}'.

Which SQL dialects are supported?

Generic SQL (ANSI-compliant), MySQL (backtick identifiers), PostgreSQL (double-quote identifiers), and SQLite (double-quote identifiers). All dialects use ANSI single-quote string escaping.

Is my data sent to a server?

No. All conversion happens entirely in your browser using JavaScript. Your JSON data never leaves your device.