CSV to SQL INSERT Generator β€” Free Online

Convert CSV data into ready-to-run SQL INSERT statements for SQL Server, PostgreSQL, MySQL, SQLite, or Oracle. Handles type inference, NULL tokens, quoting, escaping, and datasets up to 50,000+ rows β€” all in your browser.

πŸ“„ CSV Input

πŸ“„ Drop a .csv or .txt file here, or
Load sample:
βš™οΈ CSV Parsing Options β–Ό

πŸ‘οΈ Data Preview

Parse CSV to see a preview…

πŸ—‚οΈ Column Mapping & Types

Parse CSV to configure columns…

πŸ—„οΈ SQL Dialect

SQL Server
PostgreSQL
MySQL
SQLite
Oracle

πŸ—οΈ Table & Schema

βš™οΈ Generation Options

πŸ“‹ SQL Output

What This Tool Does

This generator converts CSV (Comma-Separated Values) data into production-ready SQL INSERT statements. You paste or upload a CSV file, configure your target database dialect and options, and the tool produces a complete SQL script β€” including optional CREATE TABLE, transaction wrappers, and batched multi-row INSERTs.

It handles the tedious details: escaping single quotes, mapping CSV columns to SQL types, converting null-like tokens (NULL, n/a, none) to SQL NULL, quoting identifiers correctly per dialect, and generating batched statements that won't exceed database limits. For the reverse workflow β€” exporting SQL query results to CSV β€” try the JSON to CSV converter after running your query.

Supported SQL Dialects

DialectIdentifier QuotingString TypeBool TypeNotes
SQL Server[name]NVARCHAR(n)BITUnicode N'' prefix supported
PostgreSQL"name"TEXTBOOLEANTRUE/FALSE literals
MySQL`name`TEXTTINYINT(1)Backtick quoting
SQLite"name"TEXTINTEGERDates stored as ISO text
Oracle"name"VARCHAR2(n)NUMBER(1)INSERT ALL syntax

How to Use the CSV to SQL INSERT Generator

Type Inference

The tool samples up to 500 rows (configurable) and infers each column's type: int, float, bool, date (YYYY-MM-DD), datetime (ISO format), or string. Each generic type maps to the correct dialect-specific type β€” for example, int becomes INT in SQL Server but INTEGER in PostgreSQL. You can override any column to a different type or switch all columns to text for a quick import.

NULL and Empty String Handling

Values matching configurable null-like tokens (NULL, n/a, na, none β€” case-insensitive) are output as SQL NULL. Empty strings can be treated as either literal empty strings ('') or as NULL via a global toggle. Whitespace is trimmed before the null check if the trim option is enabled.

πŸ’‘ Already have data in Excel? Use the Excel to SQL INSERT Generator which reads .xlsx files directly. Need to verify your output SQL? Run it through the SQL Validator or format it with the SQL Formatter.

Related Guides & Tutorials

Privacy & Security

All CSV parsing and SQL generation runs in your browser using JavaScript and a Web Worker. Your data β€” whether it contains customer records, financial data, or proprietary business information β€” is never transmitted to any server. You can verify this by watching the Network panel in browser developer tools while using the converter.

Dialect-Specific SQL Pages

Import Guides

Frequently Asked Questions

How are single quotes escaped in the SQL output?
Single quotes inside string values are escaped by doubling them: ' becomes ''. This is the SQL standard and works across all dialects.
How are NULL values handled?
The tool recognizes common null-like tokens (NULL, n/a, na, none) and converts them to SQL NULL. Empty strings can also be treated as NULL via a global option.
Can I use this with 50,000+ rows?
Yes. SQL generation runs in a Web Worker so the UI stays responsive. A progress bar shows generation status for large datasets.
What SQL dialects are supported?
SQL Server, PostgreSQL, MySQL, SQLite, and Oracle. Each dialect uses correct identifier quoting, type mapping, and syntax.
Does this tool upload my data to a server?
No. All CSV parsing and SQL generation runs entirely in your browser. Your data never leaves your machine.
How does type inference work?
The tool samples the first 500 rows (configurable) and infers each column's type: int, float, bool, date, datetime, or string. You can override any column type manually.

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