Converting JSON to SQL means turning a list of records into INSERT statements you can run against a database. Each object becomes a row, and its keys become the columns. To do it, paste a JSON array of objects into a converter, set the table name and dialect, and copy the SQL. Here is how it works and what to watch for.
Provide an array of objects; the keys become the columns.
Set the target table name and choose MySQL or PostgreSQL.
Get one INSERT per row with values quoted and escaped correctly.
Optionally generate a CREATE TABLE with column types inferred from the data.
How are values and identifiers handled?
Strings are wrapped in single quotes with embedded quotes doubled, numbers and booleans are written natively, and missing values become NULL. Table and column names are quoted with backticks for MySQL or double quotes for PostgreSQL. The JSON to SQL tool takes the union of all keys, so rows with missing fields still line up.
When is this useful?
It is great for seeding a database, creating test fixtures, or moving data from an API response into a table. Tidy the input first with the JSON formatter, and if you need the reverse — a flat file — try JSON to CSV.
Tip: Generate the CREATE TABLE option once to scaffold the schema, then review the inferred types — widen VARCHAR lengths or switch INT to BIGINT where your real data needs it.
Convert JSON to SQL now
Paste a JSON array and get INSERT statements for MySQL or PostgreSQL — free, in your browser.
Open the JSON to SQL tool →Frequently Asked Questions
How do I convert JSON to SQL INSERTs?
Paste a JSON array of objects, set the table name and dialect, and the tool emits one INSERT per object with escaped values.
Does it support MySQL and PostgreSQL?
Yes — it quotes identifiers and booleans per dialect (backticks and 1/0 for MySQL, double quotes and TRUE/FALSE for PostgreSQL).
Is my data uploaded?
No — the SQL is generated entirely in your browser.