Generate CREATE TABLE and INSERT statements from a CSV — runs in your browser
or click to browse · Processed locally
CSV to SQL is the process of turning a spreadsheet into database-ready statements: a CREATE TABLE definition that matches the columns, and INSERT statements that load every row. Instead of writing the SQL by hand or building a custom import script, this tool generates everything you need from your CSV in seconds.
Common use cases: seeding a fresh database with sample data, importing legacy spreadsheets into a new SQL backend, migrating data between systems, generating reproducible test fixtures, populating a dev environment with production-like data, or sharing a dataset that someone needs to load into MySQL or PostgreSQL.
1. Drop or browse your CSV file
2. Pick your SQL dialect (MySQL, PostgreSQL, or SQLite)
3. Set a table name and choose batching options
4. Review and adjust the auto-detected column types
5. Copy the SQL or download it as a .sql file
✅ Free — no signup, no limits
✅ 100% private — your CSV never leaves your browser
✅ MySQL / PostgreSQL / SQLite supported
✅ Auto-detected column types with manual override
✅ Batched INSERT for fast database loads
✅ Proper string escaping and NULL handling
Upload a CSV, set the target SQL dialect and table name, and the tool generates a CREATE TABLE statement plus INSERT statements for every row.
MySQL, PostgreSQL, and SQLite. Each dialect uses its own quoting and data type conventions.
Yes. The tool inspects sample rows and infers types like INTEGER, DECIMAL, BOOLEAN, DATE, or TEXT. You can also override any column type manually.
No. Everything runs in your browser. Your CSV file never leaves your device.
Yes. The generated SQL is standard and works with MySQL Workbench, pgAdmin, DBeaver, the SQLite CLI, or any database client.
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