JSON to SQL Converter
Turn a JSON array into executable SQL in seconds — choose between INSERT, UPDATE, CREATE TABLE, or UPSERT (INSERT … ON CONFLICT) statement types and set a custom table name to match your schema. A configurable batch size keeps large INSERT blocks manageable, and optional SQL comments stamp the generated file with the table name, statement type, and generation timestamp. Conversion runs fully in your browser, so your data never leaves the page.
JSON
Table
SQL Type
Options
SQL
What is JSON to SQL Converter?
Seeding a database from a JSON fixture file should not require writing fifty INSERT statements by hand. Paste your JSON array here, set the table name and target dialect, and the tool generates a complete, ready-to-run SQL script — column names from your JSON keys, data types inferred from the values, and INSERT statements batched for efficient execution. It supports MySQL, PostgreSQL, SQLite, and SQL Server, each with the correct identifier quoting and boolean representation for that dialect. Enable the CREATE TABLE option to prepend a schema definition before the inserts, giving you a single file that both creates and populates the table. NULL handling, UPSERT mode, and configurable batch sizes are all available. The generated .sql file is version-controllable and reproducible.
How to Use
- 1
Paste Your JSON Array
Paste a JSON array of objects into the input panel. Each object in the array represents one database row, and each unique key across all objects becomes a column in the generated SQL.
- 2
Configure SQL Output
Enter your target table name, select the SQL dialect (MySQL, PostgreSQL, SQLite, or SQL Server), set batch size for multi-row inserts, and choose INSERT, INSERT OR IGNORE, or ON CONFLICT UPSERT mode.
- 3
Generate the SQL Script
Click "Convert to SQL". The tool infers column data types from your values, applies dialect-correct identifier quoting, and renders the complete SQL script — optionally prefixed with a CREATE TABLE statement.
- 4
Execute or Save the Script
Copy the SQL and paste it directly into your database client (psql, MySQL Workbench, DBeaver), or download it as a .sql file for version-controlled database migrations.
Common Use Cases
Database Seeding
Convert JSON fixture files or API response snapshots into SQL INSERT statements to seed development or test databases without writing repetitive SQL by hand.
Data Migration Scripts
Generate bulk INSERT SQL from JSON exports when migrating data between databases, cloud providers, or environments. The generated .sql file can be version-controlled and reviewed like any migration.
Rapid Prototyping
Bootstrap a database table from a JSON API response in seconds. The tool infers the CREATE TABLE schema and generates INSERT statements so you can start querying immediately without schema design upfront.
QA Test Data Loading
QA teams maintain test datasets as JSON. Convert them to SQL INSERT statements to load into a test database before running integration or end-to-end test suites.
Conversion Examples
JSON Array → SQL INSERT Statements
Each JSON object becomes a parameterised INSERT row for the target table.
Input JSON
[
{"id": 1, "name": "Alice", "email": "alice@example.com", "active": true},
{"id": 2, "name": "Bob", "email": "bob@example.com", "active": false}
]Output CSV
CREATE TABLE users ( id INT, name VARCHAR(255), email VARCHAR(255), active BOOLEAN ); INSERT INTO users (id, name, email, active) VALUES (1, 'Alice', 'alice@example.com', TRUE), (2, 'Bob', 'bob@example.com', FALSE);
PostgreSQL UPSERT (ON CONFLICT)
Generate dialect-specific UPSERT syntax for idempotent data loading.
Input JSON
[
{"id": 1, "name": "Alice", "score": 95},
{"id": 2, "name": "Bob", "score": 87}
]Output CSV
INSERT INTO scores (id, name, score) VALUES (1, 'Alice', 95), (2, 'Bob', 87) ON CONFLICT (id) DO UPDATE SET name = EXCLUDED.name, score = EXCLUDED.score;