CSV to SQL Insert Converter

Convert CSV files into dialect-specific SQL INSERT statements and CREATE TABLE DDL in real-time.

1. CSV Data Input

Presets:

User Accounts

E-Commerce Products

Orders & Shipping

2. Database Engine & Statement Options

SQL Table Name

SQL Dialect

Insert Mode

Delimiter

Batch Size (Rows per statement)

Header Row

CREATE TABLE DDL

Convert Empty to NULL

3. Customize Column Names & SQL Data Types (0 columns)

Inc.	CSV Header	SQL Column Name	Data Type

4. Parsed Data Table Preview (0 total rows)

#

Generated SQL Output

MySQL / MariaDB

0 rows | 0 stmts (0ms)

Everything You Need to Know About CSV to SQL Conversion

Convert CSV Files to SQL INSERT Statements Instantly

Importing tabular data into SQL relational databases like MySQL, PostgreSQL, SQLite, MS SQL Server, or Oracle often requires transforming raw CSV (Comma-Separated Values) files into valid SQL INSERT INTO statements.

Our online CSV to SQL Insert Converter runs entirely in your browser with zero server latency. It automatically detects delimiters, infers data types (Integers, Decimals, Booleans, Timestamps, Strings), handles NULL values cleanly, and builds optimized bulk SQL batch insert scripts.

Multi-Row Bulk Inserts & High-Performance Import

Single INSERT INTO table VALUES (...) statements for thousands of rows create massive execution overhead due to separate transaction logs and network roundtrips.

This converter supports Bulk Multi-Row VALUES inserts (e.g. INSERT INTO table VALUES (...), (...), (...)) with customizable batch sizes (50 to 1000 rows per batch). This accelerates database insertion speeds by up to 10x to 50x during database seeds and migrations.

Supports All Major SQL Dialects (MySQL, PostgreSQL, SQLite, SQL Server, Oracle)

Different database engines use distinct syntax rules for identifier quoting, string escaping, and upsert handling:

MySQL / MariaDB: Uses backtick `table` quotes, single quote escaping \', and supports INSERT IGNORE.
PostgreSQL: Uses double quote "table" identifiers, standard quote escaping '', and supports ON CONFLICT DO NOTHING.
SQLite: Uses double quotes "table" and supports INSERT OR IGNORE.
MS SQL Server (T-SQL): Uses bracket [table] quotes and multi-row VALUES lists.
Oracle SQL: Supports multi-table insert syntax using INSERT ALL INTO ... SELECT * FROM dual;.

100% Client-Side Privacy & Security

Your data security and privacy are guaranteed. All CSV parsing and SQL generation take place locally within your web browser using modern JavaScript engines.

None of your CSV data, personal credentials, or sensitive files are uploaded to any external server or stored in a database.

Frequently Asked Questions (FAQ)

When enabled, the converter automatically detects empty string cells, 'N/A', or 'null' entries and replaces them with unquoted SQL NULL keywords. If disabled, empty strings are treated as empty SQL text strings ('').

Yes! Simply toggle the 'Include CREATE TABLE DDL' option. The converter automatically analyzes your CSV columns, infers suitable SQL data types (INT, DECIMAL, TIMESTAMP, VARCHAR, BOOLEAN), and creates a valid table schema definition.

The tool supports comma (,), semicolon (;), tab (\t), and pipe (|) delimiters. The auto-detect feature automatically determines the correct separator from your file's header row.

Since conversion runs client-side in browser memory, you can convert thousands of rows in milliseconds. For extremely large files (100,000+ rows), set a bulk batch size (e.g. 500) to keep generated SQL scripts clean and easy to execute in your database client.

DTO Generator