How to use the JSON → SQL INSERT Generator
1. Enter your table name above.
2. Paste a JSON object or array of objects. Keys become column names, values become SQL literals.
3. Click Generate INSERT. Strings are quoted, numbers and booleans are unquoted, null becomes NULL.
What is it?
This tool converts JSON data into SQL INSERT statements. Each JSON object becomes one INSERT row. Strings are escaped and wrapped in single quotes, numbers are unquoted, booleans become 1/0, and null becomes NULL — matching standard SQL syntax.
Single quotes within string values are automatically escaped as '' (two single quotes) to prevent SQL injection in the generated query. Always review generated SQL before running it on production data.
Example
[
{"name": "John", "age": 30, "email": "[email protected]"},
{"name": "Mary", "age": 25, "email": "[email protected]"}
]INSERT INTO users (name, age, email)
VALUES ('John', 30, '[email protected]');
INSERT INTO users (name, age, email)
VALUES ('Mary', 25, '[email protected]');Benefits
Generate INSERT and CREATE TABLE statements instantly
Convert JSON, CSV, or a field list into ready-to-run SQL in seconds — no manual quoting, no counting columns, no copy-paste errors from spreadsheet data.
Build SELECT queries without memorising syntax
The visual query builder constructs WHERE conditions, ORDER BY, LIMIT, and DISTINCT clauses interactively — useful for anyone who writes SQL occasionally rather than daily.
Migrate between MongoDB and relational databases
Convert MongoDB find, insert, update, and delete operations directly to SQL equivalents — speed up data migration planning or schema exploration.
All your data stays in the browser
No SQL query, schema definition, or database content is ever uploaded to a server. Everything runs entirely client-side, making these tools safe to use with sensitive data.
Frequently asked questions
Can I paste a JSON array?
Yes — paste either a single object or an array of objects. Each array element becomes one INSERT statement.
What happens with nested objects?
Nested objects and arrays are JSON-serialised and inserted as JSON strings. Flatten your data first if you need separate columns.