Convert JSON data to SQL INSERT statements. Fast, secure, and completely free. All processing happens in your browser — no data is sent to any server.
JSON to SQL conversion takes an array of JSON objects and generates the corresponding SQL INSERT statements, using a table name you specify and the object keys as column names — turning structured JSON data into ready-to-run SQL for seeding a database, without manually writing an INSERT statement for every single record by hand.
Turning a JSON dataset — pulled from an API response, generated by a mock data tool, or exported from another system — into a database seed script is a repetitive, error-prone task if done by hand for more than a handful of records, especially getting string quoting and NULL handling exactly right. Generating the SQL directly from the JSON guarantees every value is correctly formatted and quoted, which matters for anything with special characters or embedded quotes in a text field.
Yes, string values containing single quotes are properly escaped so the generated SQL doesn't break due to an unescaped apostrophe prematurely ending a string literal.
Since standard relational columns can't hold nested structures directly, nested values are typically serialized as a JSON string within a single column, unless your database has native JSON column support you're targeting specifically.
Yes, depending on the output style you choose, you can get either a single multi-row INSERT statement (INSERT INTO table VALUES (...), (...), ...) or separate individual statements.
Yes, JSON numbers, strings, and booleans are formatted as their corresponding SQL literal types (unquoted numbers, quoted strings, and typically 1/0 or TRUE/FALSE for booleans depending on the target dialect).
Review generated SQL before running it against any important database, just as you would with hand-written SQL — this tool generates statements based purely on the input data structure without knowledge of your actual schema constraints.