KaviForge

JSON to SQL CREATE TABLE Converter Online

Turn any JSON document into relational SQL `CREATE TABLE` statements with inferred column types, primary keys, and foreign-key child tables.

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Quick answer

To convert JSON to SQL, paste your JSON object or array into the KaviForge JSON to SQL Converter. It generates `CREATE TABLE` statements with `BIGINT`, `DOUBLE PRECISION`, `BOOLEAN`, and `TEXT` columns, `NOT NULL` constraints for required fields, and relational child tables for nested objects and arrays.

Designing a relational database schema from a nested JSON API response or NoSQL document often means manually mapping every key to a SQL column type and figuring out which arrays belong in separate join tables.

This tool analyzes your JSON in the browser and generates a clean, portable relational SQL schema (`CREATE TABLE`) compatible with PostgreSQL and SQLite.

How to Convert JSON to a SQL Table Schema

  1. 1Paste your JSON object or array into the left editor or upload a `.json` file.
  2. 2Set the root table name in the "Root type name" field.
  3. 3Review the generated `CREATE TABLE` statements and foreign keys in the right editor.
  4. 4Copy the SQL script or download the `.sql` file.

Features

Relational Child Tables

Nested JSON objects and arrays are normalized into separate `CREATE TABLE` statements with `REFERENCES` foreign keys.

Column Type Inference

Maps JSON primitives to `BIGINT`, `DOUBLE PRECISION`, `BOOLEAN`, and `TEXT` automatically.

NOT NULL Detection

Columns present and non-null across all array items are marked `NOT NULL`.

Safe Identifier Quoting

Automatically quotes reserved SQL keywords like `user`, `order`, `group`, or `select`.

Download .sql File

Copy to clipboard or save as a `.sql` schema file.

100% Private

Your JSON data and database structure never leave your browser.

When to Use the JSON to SQL Table Converter

Migrate NoSQL / MongoDB documents to PostgreSQL

Draft a normalized relational table structure from a sample document collection.

Store webhook & API payloads in SQL

Quickly scaffold tables to persist third-party API responses.

How Nested JSON Maps to Relational SQL Tables

Flat JSON objects map 1:1 to a single SQL table where each property is a column. When JSON contains nested objects or arrays, a normalized relational schema uses separate tables linked by foreign keys (`REFERENCES`).

The generated SQL uses portable ANSI/PostgreSQL/SQLite types (`BIGINT`, `DOUBLE PRECISION`, `BOOLEAN`, `TEXT`) so you can use it as an immediate starting point for migrations.

JSON to SQL Table Converter FAQs

How do I convert JSON to a SQL CREATE TABLE statement?

Paste your JSON into the left editor. The right editor immediately outputs `CREATE TABLE` SQL statements for the root object and any nested tables.

Which SQL databases are supported?

The generated `CREATE TABLE` syntax is designed for PostgreSQL and SQLite and works with minor adjustments in MySQL, MariaDB, and SQL Server.

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