Transform CSV data into SQL INSERT statements instantly. Perfect for importing spreadsheet data, migrating legacy systems, or creating database seeds.
Click "Convert" to generate SQL
CSV (Comma Separated Values) is the universal language of data exchange. Whether it's from Excel, Google Sheets, or legacy systems, converting CSV files to SQL INSERT statements is necessary for importing data into relational databases. Our CSV to SQL Converter simplifies this task by parsing your files, auto-detecting column types, and generating optimized SQL queries ready for execution.
Manually writing SQL for thousands of spreadsheet rows is impractical. This tool handles the complexity of:
CREATE TABLE statements matching your data structure.INTEGER, REAL, BOOLEAN, or TEXT.DROP/CREATE statements..sql file for execution.Not all CSVs are comma-separated. European formats often use semicolons (;), and data often contains commas within the text itself (e.g., "Chicago, IL").
"1,000"). We respect the standard RFC 4180 rules."She said ""Hello""").Processing large datasets (10,000+ rows) requires efficient strategies. While our tool works great for medium-sized files (up to ~50MB) directly in the browser, here are tips for massive datasets:
VALUES clauses (batch size 100) to speed up database insertion.BEGIN TRANSACTION;
INSERT INTO users VALUES (...);
...
COMMIT;The converter looks at the values in each column to decide the best SQL type:
| CSV Value Example | Inferred SQL Type |
|---|---|
123, -42 | INTEGER |
12.34, 0.005 | REAL / DECIMAL |
true, false, 1, 0 | BOOLEAN (or TINYINT) |
2023-12-25 | TEXT (treated as ISO Strings) |
Hello World | TEXT / VARCHAR |
Migrate product catalogs, user lists, or financial data from Excel/CSV exports directly into your SQL database.
Design test scenarios in a spreadsheet, then convert them to SQL to seed your development or staging database.
Empty cells in the CSV are converted to SQL NULL values, assuming the column allows nulls. If it's a text column, it might be an empty string depending on your preference.
Currently, we auto-detect standard delimiters (comma, semicolon, tab, pipe). If your file uses a really obscure delimiter, try replacing it with a comma in a text editor first.
No problem. Standard CSV format handles commas within fields by enclosing the field in double quotes (e.g., "London, UK"). Our parser respects this standard.