INSERT INTO users (id, name, email, age) VALUES (1, 'John Doe', '[email protected]', 30); INSERT INTO users (id, name, email, age) VALUES (2, 'Jane Smith', '[email protected]', 25); INSERT INTO users (id, name, email, age) VALUES (3, 'Bob Wilson', '[email protected]', 35);
FAQ
How are types detected?
What is batch insert?
Are quoted CSV fields handled?
About CSV to SQL
What this tool does
Data converter tools transform structured data between JSON, CSV, YAML, XML, TOML, SQL, TypeScript interfaces, Go structs, and more. They handle nested objects, arrays, and type inference automatically.
Why use this tool
APIs return JSON, spreadsheets export CSV, infrastructure config uses YAML, and legacy systems speak XML. Being able to convert between these formats without writing a custom script saves hours of tedious data wrangling.
How it works
The tool parses your input format into an in-memory object tree, then serializes that tree into the target format. Type information (string, number, boolean) is inferred from values and mapped to the closest equivalent in the output format.
Pro tip
When converting CSV to JSON, the first row is treated as column headers by default. If your CSV has no headers, toggle that option off to get array-of-arrays output instead.
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