??? JSON to SQL — Free & Instant

Convert JSON to SQL⚡ INSERT Statements

Generate SQL INSERT statements from JSON arrays. Choose your database dialect, table name, batch size, and optionally generate a CREATE TABLE statement with inferred column types.

MySQL / PostgreSQL / SQLite / SQL ServerCREATE TABLEBatch insertsType inference
JSON Input
📂

Drop JSON file here

SQL Output
Rows: —Cols: —Size: —

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FAQ

How does type inference work?

The converter scans all values for a column and infers the type: INTEGER (all whole numbers), REAL/FLOAT (all numbers), TEXT/VARCHAR (everything else). Nulls are ignored in type detection.

What is batch size?

Instead of one INSERT per row, batched inserts group multiple rows into a single INSERT statement — e.g. INSERT INTO t VALUES (1,'Alice'),(2,'Bob').... This is much faster for large datasets.

Are special characters in strings escaped?

Yes. Single quotes in string values are escaped as ''⚡ (SQL standard). Backslashes are escaped for MySQL dialect.

What happens to nested JSON objects?

With Flatten nested⚡ enabled, nested objects are flattened with dot notation as column names. Arrays are serialized as JSON strings in the SQL value.

JSON to SQL — Complete Guide

Importing JSON data into a relational database is a common task in data engineering and backend development. This tool generates ready-to-run SQL statements from any JSON array, eliminating manual data entry and reducing errors.

Generated SQL Structure

-- CREATE TABLE (with inferred types):
CREATE TABLE my_table (
  id INTEGER,
  name VARCHAR(255),
  age INTEGER,
  city VARCHAR(255)
);

-- INSERT statements (batched):
INSERT INTO my_table (id, name, age, city) VALUES
(1, 'Alice', 30, 'New York'),
(2, 'Bob', 25, 'London');

Dialect Differences