CSV to SQL Converter

This is a free tool for developers that instantly generates SQL INSERT and UPDATE statements from CSV files. When migrating data managed in Excel or spreadsheets to a database, it dramatically reduces human error and saves you the trouble of writing SQL manually.

Because all conversions are processed entirely within your browser, your data is never sent to external servers. This means you can safely generate SQL even from CSV files containing customer records or highly sensitive information.

CSV (Comma-Separated Values)

A simple text file format that uses commas to separate values. It is highly compatible with spreadsheet software like Excel and Google Sheets, making it a standard format for data migration.

SQL (Structured Query Language)

The standard programming language used to define and manipulate data in a Relational Database Management System (RDBMS). This tool auto-generates "INSERT" commands to add data and "UPDATE" commands to modify it.

INSERT Statement

An SQL command used to add new rows (records) to a database table. It also supports "Bulk Insert" to insert multiple rows at once, which this tool utilizes to generate efficient syntax for large datasets.

UPDATE Statement

An SQL command used to modify the values of existing records in a database. Because it is usually combined with a WHERE clause to target specific data, this tool safely generates updates using the first column as the key.

Escaping

The process of ensuring that characters with special meaning in SQL syntax (like single quotes) are treated purely as strings. This tool automatically escapes single quotes in your data to prevent syntax errors and SQL injection vulnerabilities.

Q.Is the CSV data I enter saved on external servers?

No, all input data is processed strictly within your PC or smartphone's browser. There is no transmission or storage of data to external servers, making it completely safe to use even with CSV files containing customer lists or sensitive information.

Q.Can it convert huge CSV files with tens of thousands of rows?

Yes, it can, but it depends on your browser's memory and processing power. Processing a few thousand to tens of thousands of rows usually completes in seconds. However, for extremely large files exceeding 100,000 rows, we recommend splitting the file before conversion to prevent browser freezing.

Q.How are numeric and string data distinguished?

The tool automatically analyzes the value of each cell internally. If it consists only of numbers (or numbers with a decimal point), it is treated as a number and quotes are removed. This automatic inference can also be disabled in the options, allowing you to force all values to be quoted as strings if required.

Q.How are NULL values or empty cells handled?

Empty cells or the string 'NULL' are output to SQL as `NULL` without quotes so that they are treated as official NULLs in the database. If you intentionally want them registered as empty strings (`''`), please adjust the CSV data beforehand or manually tweak the generated SQL.

Q.Can I use the output with both MySQL and PostgreSQL?

Yes, the basic INSERT and UPDATE statements are generated using standard SQL syntax, so you can use them directly in major relational databases like MySQL, PostgreSQL, SQLite, and SQL Server. If specific functions or dialects are required, please replace them in the output SQL using a text editor.