How to use the CSV → SQL INSERT Generator
1. Enter your table name above.
2. Paste CSV data with a header row as the first line. Column names are taken from the header.
3. Click Generate — each CSV row becomes one INSERT statement. Numbers are auto-detected and left unquoted.
What is it?
CSV to SQL INSERT is one of the most common data import tasks. This tool reads the CSV header row to build the column list, then generates one INSERT statement per data row. Values that parse cleanly as numbers are kept unquoted; everything else is wrapped in single quotes with internal quotes escaped.
Quoted CSV fields (with commas or newlines inside) are handled correctly. This makes it safe to import addresses, descriptions, and any text containing commas.
Example
name,age,email John,30,[email protected] Mary,25,[email protected]
INSERT INTO users (name, age, email) VALUES ('John', 30, '[email protected]');
INSERT INTO users (name, age, email) VALUES ('Mary', 25, '[email protected]');Numbers are detected automatically and kept unquoted.
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
How many rows can I convert?
There's no hard limit — the tool runs entirely in your browser. Thousands of rows work fine. For millions of rows, use a server-side tool or database LOAD DATA command.
What if my values contain commas?
Wrap the value in double quotes in your CSV (e.g. "Smith, John"). The parser handles standard RFC 4180 quoted fields.