Why convert CSV to SQL
Loading spreadsheet data into a database often means writing INSERT statements by hand, a slow and error-prone process for anything beyond a handful of rows. This tool takes CSV data and automatically generates a full set of properly escaped SQL INSERT INTO statements, ready to paste into a database client or run as part of a migration script.
How the SQL is generated
The tool reads your CSV's header row to determine column names, sanitising anything that isn't a valid SQL identifier by replacing unusual characters with underscores. For each data row, it builds a single INSERT statement with correctly quoted string values, unquoted numeric values, and NULL for any genuinely empty cell, following standard SQL syntax that works across MySQL, PostgreSQL, SQLite, and most other relational databases.
Choosing a table name
Since a CSV file has no inherent table name of its own, you can specify what table the generated statements should target using the field above the input box, defaulting to my_table if left as-is. This makes it easy to generate ready-to-run statements for whatever table you're actually populating, without a manual find-and-replace afterward.
Handling quotes and special characters
Single quotes inside a text value, which would otherwise break the SQL syntax, are automatically escaped by doubling them, following the standard SQL escaping convention supported by essentially every database engine. This means values like names containing an apostrophe convert correctly without any manual fixing.
Typical use cases
Developers use this to quickly seed a development database with sample data from a spreadsheet. Data migration projects use it to convert a legacy CSV export into a batch of INSERT statements for loading into a new database schema, without writing a custom import script for a one-off task.
Step-by-step walkthrough
Paste your CSV text into the input box or drop a .csv file onto the page, set the target table name, and click Convert. The status line reports how many INSERT statements were generated. Click Download Result to save converted.sql, ready to run against your database or paste into a migration script. Because generation happens instantly in your browser, it's easy to tweak the table name and reconvert if you need statements for more than one destination table.
Privacy and performance
Because the CSV to SQL Converter runs as JavaScript inside your own browser tab rather than on a remote server, there's no upload step, no waiting on a network connection, and no copy of your file sitting on someone else's infrastructure afterward. That also means it keeps working exactly the same whether your file is a few bytes or several megabytes, limited only by your own device's memory rather than a server's queue or rate limit. If you ever want to double-check that nothing is being transmitted, your browser's built-in developer tools network tab will show no outgoing request for the file's contents at any point during conversion. This also means the tool keeps working offline once the page has loaded, and closing the tab afterward leaves no copy behind on any server, since one was never made in the first place. That's a meaningful difference from typical online converters, which usually require uploading your file to a remote service before you ever see a result.
Frequently Asked Questions
Which database systems is the generated SQL compatible with?
The statements use standard SQL syntax supported by MySQL, PostgreSQL, SQLite, and most other relational databases without modification.
How are empty cells represented in the SQL?
Empty cells are inserted as NULL rather than an empty string, which is usually the more correct representation for missing data.
Are single quotes inside text values escaped properly?
Yes, single quotes are automatically doubled following standard SQL escaping, so values with apostrophes insert correctly.
Can I choose which table the statements target?
Yes, enter the table name in the field above the input box before converting.
Is my CSV data uploaded anywhere?
No, the SQL is generated entirely locally in your browser.