CSV to SQL Converter

A CSV to SQL converter turns rows of comma-separated values into the SQL statements a database needs to store them. It reads the header row as column names and the remaining rows as records, then emits a CREATE TABLE statement that defines the columns and a set of INSERT statements that load the data. The result is a script you can paste into a database client, a migration file, or a command-line tool such as mysql, psql, or sqlite3 to build and populate a table in one step.

The reason this is worth automating is that hand-writing INSERT statements from a spreadsheet is slow and error prone. Every text value has to be wrapped in single quotes, every embedded quote has to be doubled so the statement does not break, numbers and booleans have to be left unquoted, and empty cells usually need to become NULL rather than an empty string. Miss one of those and the whole batch fails to run. This tool applies the rules consistently across thousands of rows, infers whether each column holds integers, decimals, booleans, or text, and quotes identifiers the way your chosen dialect expects, using backticks for MySQL and double quotes for PostgreSQL, SQLite, and standard SQL.

Everything runs in your browser. The CSV is parsed and the SQL is generated locally in JavaScript, so nothing is uploaded to a server, logged, or stored. That matters when the data is a customer export, a list of internal IDs, or anything else you would not want to send to a third party. Because the work is local, the tool also keeps functioning offline once the page has loaded, and it stays fast even on large files since there is no network round trip.