Moving data into a database often means writing INSERT statements by hand, row by row, and one missed quote breaks the whole batch. Try it free below — no sign-up, and it runs entirely in your browser.
Versión en español: Convertir CSV a SQL INSERT Gratis – Genera Sentencias INSERT desde CSV
How to use it
Moving data into a database often means writing INSERT statements by hand, row by row, and one missed quote breaks the whole batch. This free converter does the tedious part for you: it turns CSV rows into clean INSERT statements, with quotes escaped and empty cells turned into NULL.
- Paste your CSV into the box, or upload a CSV file.
- Type the table name you want to insert into.
- Choose how many rows each INSERT statement should hold.
- Press Generate to build the statements.
- Copy the result or download it as a .sql file.
What it can do
- Turns every CSV row into a proper INSERT value list.
- Escapes single quotes by doubling them, so names like O’Brien stay valid.
- Turns empty cells into NULL instead of empty strings.
- Keeps numbers unquoted, so numeric columns load correctly.
- Batches rows into statements of 100, 500 or 1000 for faster imports.
Example
A developer has a CSV of 400 users to load into a test database. She pastes the file, names the table users, and generates the statements. The .sql file runs in her database tool without hand-editing a single quote or comma.
Tips for a better result
- Check that the first row holds column names matching your table.
- Use a small batch size first to test the import on a few rows.
- Back up the table before running a large import.
- If a column is text but looks numeric, check the import result for that column.
Who it is for
It suits developers, students learning SQL, and office workers moving lists into a database. It is a safe way to prepare an import, because you can read every statement before you run it.
Frequently asked questions
What happens to empty cells?
Empty cells become NULL, which is the correct way to say “no value” in SQL.
Are quotes in names handled?
Yes. A single quote inside a value is doubled, which is the standard SQL escape.
Can I run the output directly?
Yes, in most database tools, as long as the table and column names match your database.
Why use a browser tool?
There is nothing to install, update or learn before you start. The CSV to SQL Converter opens on a phone, a tablet or a computer, and it works the same everywhere because the whole tool lives on this page. You do not need an account, you do not hand over an email address, and you do not wait for a download. That matters when you only need the tool once, or when you are on a shared computer. It also means the version you see is always the latest one, with no old copy lingering on your device after you finish.
Ideas to try next
Once the basics feel easy, try the tool with a real task instead of the sample data. Use your own names, numbers or files, and compare the result with what you expected. If something looks wrong, check the inputs first, because most surprises come from a typo or a wrong unit, not from the tool. Then try a second version with different settings and keep the one you like best. That habit, test, compare, keep, turns a quick tool into a reliable part of your routine.
Paste a CSV, name the table, and download ready INSERT statements. The boring, error-prone part of an import is done for you.
Your data stays private: the tool runs entirely in your browser, with no account and nothing uploaded.
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