JSON to SQL INSERT Generator

Generate SQL INSERTs from JSON

Loading JSON data into a SQL database is a common task — you might have an export from a NoSQL database, a dump from an API, or a snapshot from a third-party system that needs to land in your relational database. The JSON to SQL converter takes a JSON array of objects and produces a single INSERT statement with one VALUES tuple per object. The result can be pasted directly into psql, mysql, sqlite3, or any other SQL client.

Pick your dialect from the toolbar — PostgreSQL, MySQL, or SQLite. The dialect affects how strings, booleans, and identifiers are quoted. Booleans becomeTRUE/FALSE in PostgreSQL and SQLite (which both have native boolean types) and1/0 in MySQL (which usesTINYINT(1) as a boolean). Identifiers use double quotes in PostgreSQL and SQLite, backticks in MySQL.

How NULL and nested values are handled

JSON null becomes the SQL keywordNULL — not the string'null'. Booleans, numbers, and strings are emitted as literals. Nested objects and arrays are serialized back to a JSON string and inserted as text. If your target column is a native JSON type (PostgreSQL JSONB, MySQL JSON), the inserted value will be valid JSON and you can query it with the database's JSON operators.

SQL injection safety

Lintify doubles every single quote inside string values, which is the SQL standard escape. This protects against SQL injection for the literal values themselves. However, you should still treat the output as a development convenience rather than production-ready SQL. For real production inserts, use parameterized queries in your application code — they are faster (the database can cache the query plan), safer (the database enforces type-correctness), and more readable than generated SQL.

When to use generated SQL

Generated SQL is best for one-off data loads: seeding a development database from a production export, populating a lookup table, or moving a small dataset between databases. For ongoing data sync, use a proper ETL tool or your database's native JSON ingestion features (PostgreSQL has jsonb_populate_record, MySQL has JSON_TABLE). These features are faster and more robust than re-generating SQL every time the data changes.