How to Use
Paste Your Code
Configure Options
Get Results
Copy or Download
Learn More
How to Turn a Plain English Sentence Into a Working SQL Query
Type what you want in ordinary English, for example get all users who signed up this month or find duplicate email addresses, pick your dialect, then press Generate SQL. The query streams back word by word into a Generated SQL panel that carries a one click Copy button, so it goes straight into your database client. Six example prompts sit under the input as clickable chips if you want to see the level of detail that actually works. There is no editor to configure, no schema upload step and no account screen standing in the way. A Clear button wipes the description and the result together whenever you want to start over with a different question.
Choosing Between MySQL, PostgreSQL, SQLite and MSSQL Before You Generate
The four dialect pills above the button are not decoration. These engines differ in date arithmetic, string functions, row limiting and quoting, so one request produces genuinely different SQL for each. Ask for rows from the last thirty days and MySQL reaches for DATE_SUB with INTERVAL, PostgreSQL subtracts an interval from NOW, SQLite leans on date now minus 30 days, and MSSQL uses DATEADD. Row limiting splits the same way, with LIMIT on three of them and TOP or OFFSET FETCH on SQL Server. Pick your real database first, because a perfectly correct MySQL statement pasted into a SQL Server console fails on syntax rather than logic. Switch the pill and regenerate when you move a query between engines.
Describing JOINs, GROUP BY and Window Functions So the AI Gets Them Right
Short prompts get short queries. If you need a join, name both tables and the shared column. If you need a ranking, say per customer or per month so the model reaches for GROUP BY or a window function instead of a flat SELECT. Spelling out your filters, your sort order and how many rows you expect removes most of the guesswork. The model handles subqueries, common table expressions, HAVING clauses, aggregate functions and ROW_NUMBER style ranking once the description asks for them clearly. It writes DDL too, so CREATE TABLE, ALTER TABLE and index statements are valid requests. Treat the description like a ticket for a colleague: the detail you leave out is the detail that comes back wrong.
Why the Generated SQL References Tables You Never Mentioned
This generator never sees your database. It has no connection, no schema file and no way to inspect your tables, so it invents sensible names like users, orders, customers and created_at from the wording of your request. That is why output often looks correct yet points at columns you do not have. The fix is to put your real identifiers in the prompt: count rows in app_users by signup_ts beats count users by signup date every time. Then read the result before you run it. Check the join keys, check the date column, and check the WHERE clause especially hard on anything that updates or deletes rows. Test against a copy of the data or inside a transaction you can roll back.
What Happens to Your Description, and Why There Is No Signup
There is no registration, no email capture, no card and no usage meter. Open the page, describe the query, copy the SQL, close the tab. Being straight about the mechanics matters though, because this is not a browser only tool. Your description and the selected dialect are posted to an API route on our server, which hands them to a hosted large language model and streams the generated SQL back to your screen. Nothing about your actual database travels with the request, since the tool has no access to one, but the sentence you type does leave your machine. Describe the shape of the query freely and keep credentials, live customer records and anything confidential out of the box.
Frequently Asked Questions
Yes. This one asks for no account, no email and no card. Open the page, type what you want the query to do, choose a dialect and press Generate SQL. There is no trial counter and no paywall after a few runs, and nothing is stored against a profile because there is no profile to store it in.
Yes, provided you name both tables and the column that links them. A prompt like join orders with customers on customer_id and show order totals per customer returns a working INNER JOIN with GROUP BY. Leave the key out and the model guesses a plausible one, which normally needs a small edit before the query will run.
Tap the PostgreSQL pill under the description box before pressing Generate SQL. The dialect travels with your request, so you get Postgres date handling, quoting and LIMIT OFFSET syntax rather than MySQL equivalents. Choose SQLite or MSSQL the same way and regenerate to port the exact same question across to another engine in seconds.
The generator has no connection to your database and cannot read your schema, so it invents common names such as users, orders, customers and created_at. Put your real table and column names into the description and the output will match them. Otherwise rename them yourself before running anything, especially an UPDATE or DELETE.
Be aware this is not an offline tool. Your description and chosen dialect are posted to our API route and passed to a hosted AI model, then streamed back. Your database is never connected or read. Describing table shapes and logic is fine, but keep credentials, connection strings and customer records out of the prompt.