AI SQL Query Generator

The AI SQL Query Generator turns a plain-English request into SQL for MySQL, PostgreSQL, SQLite, SQL Server, Oracle, BigQuery or ANSI SQL. It doesn't stop at writing the query: it checks the tables and columns against yours, runs the query on sample rows and shows you the result.

Why it's different

• Run before you see it. The query is compiled and run in SQLite on made-up rows, and you get the result table.
• Your tables, not invented ones. Paste your schema and every table and column is checked against it.
• Dialect-correct. Slips like LIMIT on SQL Server or ILIKE on MySQL are caught and fixed.
• Safe by default. Read-only or not is labelled, and risky statements are flagged.
• Explained. Each clause is described in plain words, and every assumption is stated.

How to write a SQL query with AI

1. Describe the data you want, e.g. "customers who haven't ordered in 6 months".
2. Choose your database and paste your tables (CREATE TABLE or a simple list).
3. Click Write SQL, check the result on the sample data, and copy the query.
4. Need a tweak? Describe the change, or convert it to another database.

Tips for better queries

• Name the time range. "Last 90 days" or "this calendar year" beats "recent".
• Say what counts. "Paid orders only" or "excluding refunds" removes guesswork.
• Ask for the shape. "One row per customer" or "by month" tells it how to group.

Related tools

Need a pattern for text data? Try the AI Regex Generator.

Frequently asked questions

How do I turn a question into SQL?

Describe the data you want in plain words, choose your database and paste your tables if you can. The generator writes the query, checks every table and column against your tables, runs it on sample rows and shows the result, so you can see it does what you asked before you run it on real data.

Which databases are supported?

MySQL, PostgreSQL, SQLite, SQL Server, Oracle, BigQuery and ANSI SQL. Each has its own syntax for things like row limits and dates, and common mistakes, such as LIMIT on SQL Server or backticks on PostgreSQL, are caught and fixed.

Should I paste my schema?

Yes, if you can. CREATE TABLE statements or a simple list like orders(id, customer_id, total) are enough. The query then uses your real table and column names, and any name that isn't in your tables is caught before you see the result.

How is the query tested?

The tables are created in an in-memory SQLite database with a few made-up rows, and the query is compiled and run there. You see the result table. A query that fails, or that uses a column that doesn't exist, is fixed automatically.

Is it safe to run the generated SQL?

Every query is labelled read-only or not, and risky patterns are flagged, such as UPDATE or DELETE without WHERE, dropped tables and NOT IN with NULLs. Queries that change data are run on the sample rows inside a transaction that is rolled back. Always test on a copy first.

Can it convert a query to another database?

Yes. Under the result, choose another database and the same query is rewritten for it, then checked and run again.

Is it free?

Yes. Every day you get free AI runs, and each run gives a tested, explained query. The examples on this page are always free. Changing or converting a query uses one run.