CSV ⇄ SQL Converter
CSV ↔ INSERT statements
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CSV ⇄ SQL Converter
CSV ↔ INSERT statements
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Browse filesdocument.pdf
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report.pdf
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About this tool
Turn CSV data into CREATE TABLE plus INSERT statements (batch or per-row), or convert INSERT listings back into CSV.
The CSV to SQL INSERT Generator takes Comma-Separated Values data and produces valid, ready-to-execute SQL INSERT statements for immediate use with any relational database. It's essential for data analysts, backend developers, and database administrators who need to load spreadsheet exports, data migration files, or CSV-formatted API responses into PostgreSQL, MySQL, SQLite, or SQL Server databases quickly and accurately.
The tool intelligently infers column data types (INT, FLOAT, VARCHAR, TEXT, BOOLEAN, DATE) from the actual values in each column, generates properly escaped SQL with correct quoting, and handles edge cases like NULL values (empty cells), strings containing single quotes, and binary data. You can customize the target table name, choose between individual INSERT statements or a single bulk INSERT, and select the target SQL dialect for syntax compatibility.
For database seeding, data migration, and ETL workflows, this tool eliminates the need to write custom import scripts or use database-specific bulk loading utilities. All processing is client-side — your data, which may contain sensitive business records or personal information, never leaves your browser.
Key features
Everything you get with CSV ⇄ SQL Converter — no premium upsell.
Automatic data type inference (INT, FLOAT, VARCHAR, TEXT, BOOLEAN, DATE)
Proper SQL escaping for strings with quotes and special characters
NULL handling for empty cells with configurable NULL representation
Dialect support: PostgreSQL, MySQL, SQLite, and SQL Server syntax
Individual INSERT statements or single bulk INSERT output
Entirely client-side — CSV data never transmitted to any server
How to use CSV ⇄ SQL Converter
Follow the steps below to use the tool.
- 1
Paste CSV Data
Insert your CSV data into the input area. The first row is treated as column headers by default.
- 2
Set Table Name
Enter the target database table name for the generated INSERT statements.
- 3
Configure Output
Choose SQL dialect, INSERT style (individual or bulk), and data type override if needed.
- 4
Generate and Copy
Click generate to produce the SQL. Copy the INSERT statements to your database client or migration file.
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