SQL ↔ JSON Converter
Convert SQL INSERT statements into JSON arrays, or generate SQL INSERT from JSON objects for quick data migration and API workflows.
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SQL ↔ JSON Converter
Use this SQL ↔ JSON Converter when you need fast, readable transformation between SQL INSERT statements and JSON arrays used by APIs, tests, and import jobs. In the form, choose Conversion Mode, then paste source data into Content. If you select JSON → SQL, provide Table Name. The generated output is shown in Conversion Result.
Example SQL → JSON input:
INSERT INTO users (id, name, active) VALUES (1, 'Alice', TRUE), (2, 'O''Brien', FALSE);
Example output:
[
{ "id": 1, "name": "Alice", "active": true },
{ "id": 2, "name": "O'Brien", "active": false }
]
Example JSON → SQL input:
[
{ "id": 10, "email": "[email protected]", "role": "admin" },
{ "id": 11, "email": "[email protected]", "role": "viewer" }
]
With Table Name set to users, output will be an INSERT INTO users (...) VALUES ... statement ready for seed data, local debugging, or migration prep.
The converter handles multi-row inserts, quoted strings, numbers, booleans, and NULL values. It is especially useful for backend developers who move data between SQL databases and JSON contracts and want to avoid manual rewriting errors.
live_help Frequently Asked Questions (FAQ)
How do I use the form fields correctly?
Pick Conversion Mode first. Paste source data into Content. For JSON → SQL, fill Table Name with a valid SQL identifier, for example users or audit_logs. Read the output in Conversion Result.
What exact SQL input works in SQL → JSON?
Use INSERT INTO ... VALUES ... statements. Example:
INSERT INTO users (id, name, active) VALUES (1, 'Alice', TRUE), (2, 'Bob', FALSE);
This returns a JSON array with two objects.
What exact JSON input works in JSON → SQL?
Provide an array of JSON objects, not a single object. Example:
[
{ "id": 1, "name": "Alice" },
{ "id": 2, "name": "Bob" }
]
With Table Name = users, you get one multi-row INSERT statement.
Are NULL, booleans, numbers, and apostrophes preserved?
Yes. NULL maps to null, TRUE/FALSE map to booleans, numbers stay numeric, and SQL-escaped text like O''Brien becomes O'Brien in JSON. On reverse conversion, apostrophes are escaped back to SQL-safe format.
Why do I see Input Error or SQL Error?
Input Error usually means invalid JSON shape, empty array, or unsupported table name characters. SQL Error usually means the SQL is not a valid INSERT INTO ... VALUES ... statement or column count does not match value count.
Is generated SQL safe to run directly in production?
Treat it as a developer utility. Always review Conversion Result, verify table/columns, and run in a controlled environment before production execution.