Convert JSON arrays, objects, and API responses into SQL CREATE TABLE schemas and INSERT statements in one click. Choose PostgreSQL, MySQL, or SQLite, flatten nested JSON, infer column types, and download a ready to use SQL file. Everything runs locally in your browser.
100% client sidePostgreSQL, MySQL, SQLiteCopy and download
3 x 9
Input/ JSON
749 chars41 lines
Output/ PostgreSQL SQL
704 chars18 lines
How to convert JSON to SQL
Three steps, zero setup
01
Paste JSON data
Add a JSON array, object, API response, or seed data export. Use the sample button to test nested fields and arrays.
02
Pick SQL options
Set table name, choose PostgreSQL, MySQL, or SQLite, then toggle schema generation, nested flattening, and identifier quoting.
03
Copy or download SQL
Generate SQL live as you type. Copy it into your SQL client or download a .sql file for imports, seeds, and migration drafts.
Built for seed data and imports
Turn JSON exports into practical SQL for local databases, demos, test fixtures, admin imports, and migration drafts without sending sample records anywhere.
100% client side
Data stays in your browser. No uploads, server logs, or database payload storage.
Instant SQL output
Generate CREATE TABLE and INSERT statements immediately from JSON input.
Dialect aware
PostgreSQL, MySQL, and SQLite options tune booleans, JSON types, and identifiers.
Nested JSON ready
Flatten nested keys into columns or preserve objects and arrays as JSON values.
SQL to JSON
Parse common INSERT statements back into clean JSON for inspection or reuse.
SQL workflow
Copy SQL or download a ready to use file for imports, seeds, and drafts.
Frequently asked questions
8 answers
Paste a JSON object or JSON array into the input panel. Choose a table name and database dialect, then the converter generates CREATE TABLE and INSERT statements instantly. Copy the SQL or download it as a .sql file.
The converter supports PostgreSQL, MySQL, and SQLite output. It adjusts identifier quoting, boolean values, and JSON column type hints for each dialect.
Yes. Turn on CREATE TABLE to infer column types from your JSON values. Integers, decimals, booleans, text, and JSON-like objects or arrays are mapped to practical SQL column types.
When Flatten nested is enabled, nested keys become dot-notation columns such as address.city and address.country. If flattening is disabled, nested objects and arrays are stored as JSON strings or JSON columns where the dialect supports them.
Yes. Use the SQL to JSON tab for common INSERT INTO table (columns) VALUES (...) statements. It parses quoted strings, NULL, booleans, numbers, JSON strings, and repeated value tuples.
Yes. All conversion runs in your browser. Your JSON, generated SQL, table names, and sample data are never uploaded to a server or stored by JSONToonPro.
Review generated SQL before running it against a database. The tool is designed for fast imports, prototypes, seed files, and migration drafts, but production schemas may need constraints, indexes, primary keys, and validation rules.
The converter runs directly in your browser and is designed for quick SQL generation. Future versions may include ads or paid plan features.
SQL INSERT to JSON Converter
Need to go the other direction? The SQL to JSON tab converts common INSERT INTO statements back to structured JSON arrays. Paste your SQL INSERT statements and get clean JSON output for re-importing, testing, or working with your data in JavaScript, Python, or any other language.