CSV to SQL INSERT Statement Converter

Convert CSV files into SQL INSERT statements quickly. Upload your CSV, map columns, and generate SQL code to import data into MySQL, PostgreSQL, or SQL Server.

CSV to SQL Converter

Convert CSV data to SQL INSERT statements

CSV Input

SQL Options

Table name:

CSV delimiter:

First row contains headers

SQL Output

How It Works

This CSV to SQL converter transforms spreadsheet data into SQL INSERT statements, generating ready-to-execute code for importing CSV data into your database.

The conversion process:

CSV parsing: Upload or paste your CSV data. The tool reads headers and rows, handling quoted fields and escaped characters.
Column mapping: Match CSV columns to database table columns. Specify the target table name for the INSERT statements.
Type detection: Values are analyzed to determine if they're strings, numbers, dates, or NULLs for proper SQL formatting.
Statement generation: INSERT INTO statements are created with proper quoting, escaping, and value formatting for your database dialect.

This approach gives you full control over the import process and works with any database that accepts standard SQL INSERT statements.

When You'd Actually Use This

Migrating from Spreadsheets

Convert Excel or Google Sheets exports into SQL for importing into a proper database.

Bulk Data Import

Load large datasets from CSV exports of other systems into your database tables.

Test Data Population

Generate INSERT statements from sample CSV data to populate development environments.

Client Data Onboarding

Import customer-provided CSV files into your application database during setup.

Backup and Restore

Create portable SQL scripts from CSV backups that can restore data to any compatible database.

Data Sharing

Convert database exports to CSV, then back to SQL for sharing with teams using different databases.

What to Know Before Using

Large files may be slow

CSV files with thousands of rows generate massive SQL scripts. Consider batching or using LOAD DATA for very large imports.

Special characters need escaping

Quotes, backslashes, and newlines in CSV data are properly escaped, but verify the output for your specific data.

Date formats vary by database

Date columns may need format adjustment. MySQL, PostgreSQL, and SQL Server expect different date string formats.

NULL handling differs

Empty CSV cells become NULL, but some databases distinguish between empty strings and NULL. Check your requirements.

No constraint validation

Generated INSERT statements don't check foreign keys or unique constraints. Invalid data will cause execution errors.

Common Questions

What CSV formats are supported?

Standard CSV with comma delimiters, quoted fields, and escaped quotes. Tab-separated values (TSV) and other delimiters may need preprocessing.

Can I import directly without generating SQL?

Most databases have bulk import tools (LOAD DATA INFILE, COPY, BULK INSERT) that are faster for large files. This tool generates SQL for flexibility.

How are NULL values handled?

Empty CSV cells become NULL in the SQL. If you need empty strings instead, configure this in the column mapping options.

What about CSV files with no headers?

Headerless CSVs can be imported by specifying column names manually. The first row will be treated as data, not column names.

Is there a row limit?

No hard limit, but very large files may cause browser memory issues. For 10,000+ rows, consider splitting the CSV or using database-native import tools.

Can I update existing records instead of inserting?

This tool generates INSERT statements. For updates, you'd need to add WHERE clauses manually or use database-specific UPSERT syntax.

How do I handle special characters in data?

The converter automatically escapes quotes and backslashes. Non-ASCII characters (accents, emojis) are preserved in UTF-8 encoding.

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