Pure Frontend · INSERT Statements · CREATE TABLE · Multi-DB Dialects · Type Inference
Zero Dependencies · Works OfflineThe CSV to SQL Converter is a pure frontend online tool for converting CSV data into SQL statements. It supports generating CREATE TABLE statements (with automatic column type inference) and INSERT statements, compatible with MySQL, PostgreSQL, SQLite, SQL Server, and Standard SQL dialects. It supports multiple CSV separators, single/batch INSERT modes, and file drag-and-drop. All conversion is done locally in your browser — data is never uploaded to any server.
Step 1: Set table name, SQL dialect, separator, and INSERT mode.
Step 2: Paste CSV data in the text area (first row as headers), or drag a CSV file.
Step 3: Click "Convert to SQL" or use Ctrl+Enter to view generated SQL statements.
Step 4: Click "Copy SQL" to copy to clipboard, or "Download SQL" to save as a file.
Convert Excel-exported CSV data to SQL INSERT statements for quick database import without manual SQL writing.
Convert CSV test data to SQL statements for quick test database population.
Convert database-exported CSV backups to SQL statements for migration between different databases.
Convert business report CSV data to SQL for import into data warehouses for analysis.
CSV (Comma-Separated Values) is the most universal data exchange format, with RFC 4180 defining its standard specification. SQL INSERT statements come in two forms: INSERT INTO table VALUES (...) omitting column names (depends on column order) and INSERT INTO table (col1, col2) VALUES (...) specifying column names (safer). Batch INSERT combines multiple rows into one statement, like INSERT INTO table VALUES (...), (...), (...), reducing network round-trips and log writes, performing several times better than single-row INSERT. Different databases have slight syntax variations for batch INSERT.
MySQL, PostgreSQL, SQLite, SQL Server, and Standard SQL are supported, automatically adapting to syntax differences between databases.
Yes. The tool automatically analyzes CSV data to infer each column's data type (INT, BIGINT, FLOAT, DATE, VARCHAR, etc.) and generates appropriate CREATE TABLE statements.
No. All CSV parsing and SQL generation is done locally in your browser. Your data is never uploaded to any server.
Comma, tab, semicolon, and pipe separators are supported, with custom separator option.
Yes. It supports RFC 4180 standard CSV parsing, correctly handling double-quoted fields, escaped quotes within fields, and newlines within fields.
Yes. Both single-row INSERT and multi-row batch INSERT modes are supported, with batch mode being more efficient.