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About this tool
Convert CSV rows into INSERT statements with RFC 4180 parsing, type inference, dialect quoting and batched multi-row VALUES.
This converter turns CSV rows into ready-to-run SQL INSERT statements, parsing the input per RFC 4180 (quoted fields, doubled-quote escapes, embedded commas and newlines) and inferring integer, decimal, boolean or text for each column from its values. It emits dialect-correct output for PostgreSQL, MySQL, SQLite and SQL Server — backtick vs double-quote vs bracket identifiers, '' quote escaping, doubled backslashes for MySQL, and 1/0 instead of TRUE/FALSE where the engine lacks boolean literals. Batching groups up to 1,000 rows per multi-row INSERT, and everything runs locally in the browser.
Open CSV to SQL Insert Converter on AltFTool — it loads instantly in your browser.
Paste or upload your source content.
Choose the target format or conversion mode.
Copy or download the converted result.
Quoted fields, commas and even newlines inside quotes are parsed correctly, not split naively on commas.
Identifier quoting, string escaping and boolean literals adapt to PostgreSQL, MySQL, SQLite or SQL Server.
Columns whose values are all numeric or all true/false are emitted unquoted, so numbers load as numbers.
Double it: O'Neill becomes 'O''Neill'. This is the SQL-standard escape and works in every major engine. In MySQL's default mode the backslash is also an escape character inside strings, so this converter additionally doubles backslashes when MySQL is selected.
Yes, usually dramatically — one statement with many VALUES tuples amortises parsing, network round-trips and per-statement transaction overhead. Practical batch sizes are 100 to 1,000 rows per statement; this tool lets you pick anywhere in that range and splits the file into as many statements as needed.
By default an empty cell becomes NULL, and a cell containing the literal word NULL always does. If you untick the option, empty cells are written as the empty string '' instead — the right choice when the column is NOT NULL text. Missing trailing cells in short rows are always written as NULL and flagged in a warning.
No. Parsing, type inference and SQL generation all run client-side in JavaScript; nothing is uploaded. The tool caps input at 20,000 rows per run to keep the browser responsive on large files.
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