Free JSON to SQL Converter — JSON Array to CREATE TABLE & INSERT

Name: Free JSON to SQL Converter — JSON Array to CREATE TABLE & INSERT
Author: DollarWise

October 25, 2026 · 3 min read · By the DollarWise team

Moving data from an API into a database usually means hand-writing SQL. Paste a JSON array of objects here and get a ready-to-run CREATE TABLE plus INSERT statements — in MySQL, PostgreSQL, or SQLite dialect — with types inferred from your actual data.

JSON to SQL Converter

JSON array → CREATE TABLE + INSERTs, in MySQL, PostgreSQL or SQLite.

100% Free Forever No Sign-up No Credit Card Private — files never leave your browser Unlimited Use

1 Paste your JSON

JSON array of objects (a single object works too)

Nested objects and arrays are stored as JSON text. Keys with different types across rows fall back to TEXT.

2 SQL settings

Table name

SQL dialect

Primary key column (optional)

Left blank = no PRIMARY KEY clause. Must match a key in your JSON.

Include CREATE TABLE

Off = INSERT statements only.

Multi-row INSERT (one statement)

Off = one INSERT per row (safer for very large imports).

DROP TABLE IF EXISTS first

Dangerous on live data — only for fresh imports.

Rows per INSERT batch 500

Only applies when multi-row INSERT is on.

3 Convert & copy

🗄️ Generated SQL

SQL output

Inferred column types

How it works

Paste a JSON array of objects (or a single object) and set the table name, dialect, and options. The tool scans every row, builds one column per unique key, and infers each column’s type from your data — integers, floats, booleans, dates, datetimes, or TEXT — falling back to TEXT when a key’s type varies across rows. It then emits a CREATE TABLE statement (with an optional primary key and DROP TABLE IF EXISTS) plus INSERT statements, either batched multi-row or one per row. Identifiers are quoted per dialect (backticks for MySQL, double quotes for PostgreSQL/SQLite) and strings are escaped by doubling single quotes.

Honest limits: type inference is a best guess from the sample you paste — if later rows hold longer text or different types, widen the column before importing. Nested objects and arrays are stored as JSON text, not separate tables, and no foreign keys are generated. Always test the SQL on a copy of your database first.

Everyday uses

Developers — seed a database from an API response in seconds.
Data analysts — move JSON exports into SQL for querying.
Students — learn CREATE TABLE and INSERT syntax from real data.
Migrations — convert a JSON backup into importable SQL.
Prototyping — spin up a demo database without hand-writing DDL.

Everything runs in your browser — your data is never uploaded anywhere.