Code

Generate SQL queries from plain English

Describe the data you want to query in plain English and get a correct SQL query back.

For the best results: Describe your table schema (table names and columns) and what query you need. Example: "Table: orders (id, user_id, total, date). Show total revenue per month."

AI can make mistakes. Check important information before relying on it.

FREE · PRIVATE · NO SIGN UP REQUIRED · NO ACCOUNT NEEDED

What is SQL Generator?

SQL Generator is a free AI coding assistant that turns a plain-English description of the data you want into a correct SQL query. Each request is handed to a code-specialized model chosen for the task, returning the query in a code block, an explanation of what it does, the table and column names it had to assume, and alternative approaches where more than one way works in seconds. You paste and go, with no login and nothing to install, and the code you share is not retained once the session ends.

✦Paste code and go, no login, nothing to install
✦Code-specialized models are selected per request automatically
✦Your code is not retained after the session ends

Models: It routes across strong coding models including Llama, Gemini and Mistral families, picking the best available one per request. The exact model used is shown after every response.

See it in action

An analyst needs to answer a stakeholder's retention question for a dashboard.

What you type

Postgres. Tables: users(id, created_at), events(user_id, created_at). Count users who signed up last calendar month and have at least one event in the last 7 days.

What you get

SELECT COUNT(DISTINCT u.id) FROM users u JOIN events e ON e.user_id = u.id WHERE u.created_at >= date_trunc('month', now()) - interval '1 month' AND u.created_at < date_trunc('month', now()) AND e.created_at >= now() - interval '7 days'; Explanation: counts distinct users created in the previous calendar month who have at least one event in the past 7 days. Assumptions: users(id, created_at) and events(user_id, created_at); "active" means any event in the last 7 days.

Tip: Read the Assumptions section before the query itself. It lists every table and column name the tool had to guess, so if one doesn't match your schema you can correct it in a single follow-up instead of debugging a query that references fields you don't have.

Use cases

What people use it for

Pull last quarter's sales by region when you can write SELECTs but joins defeat you.

Answer a one-off data question from your manager without waiting on the data team.

Draft the reporting query for a new dashboard, then hand it to a developer to review.

Who uses SQL Generator?

Product analysts

turning a stakeholder how many users did this last month question into a query they can drop straight into the dashboard

Operations staff

pulling a one-off report from the company database without waiting for the data team queue to clear

SQL learners

checking how they would write a join or window function, then reading the query to understand the pattern for next time

How it works

1Paste your code or describe what you need built.
2A code-specialized model writes, fixes, or explains it.
3Copy the code out, or ask follow-ups to iterate on it.

Tips for the best results

Paste your table and column names, or a CREATE TABLE statement, so the query references real fields instead of guessed ones you have to rename.
Name your database, whether PostgreSQL, MySQL, SQL Server, SQLite or BigQuery, because functions for dates, strings and limits differ enough to break a query written for the wrong one.
Spell out the exact filter conditions, including how to treat nulls and date ranges, since last month and active users mean different things in different schemas.
Describe the grain you want back, such as one row per customer or per order, so the query groups and joins at the right level.
Run a generated query with a LIMIT and eyeball the rows before trusting a count or an update built on the same logic.

FAQ

Frequently asked questions

How does it know what my tables look like?

It doesn't until you tell it. Paste your CREATE TABLE statements, or simply list the tables with their column names, before describing the data you want. Without a schema it invents plausible table and column names, which means rewriting the query once you see your real ones.

Which SQL dialect do I get?

Broadly standard SQL unless you name your database. Say PostgreSQL, MySQL, SQL Server, SQLite or BigQuery and the query will use that engine's functions and syntax, date handling and string functions are where dialects differ most, and where an unspecified query is most likely to fail.

Is it safe to run the query I'm given?

Plain SELECTs can't damage data, though a careless join can hammer a busy production database, run heavy queries on a replica or during quiet hours. Anything that writes, like UPDATE, DELETE or INSERT, deserves a test copy first, every time. Read the query and understand it before executing.

Can it manage complex queries, joins, subqueries, window functions?

Complexity is exactly where it earns its keep. Multi-table joins, aggregations with HAVING, ranked results with window functions and nested subqueries are all within reach, provided your description of the result is precise. Describe the output you want (columns, grouping, ordering) rather than how to compute it.

What do I do when the query returns the wrong rows?

Tell it what came back and what you expected, a few sample rows of each is ideal. Wrong results usually trace to an ambiguity in the original request, like which date field 'last month' should refer to. One clarifying round trip typically lands the correct query.

Is there a free text-to-SQL tool with no sign up?

Yes. Describe the data you want in plain English and get SQL back, free and with no account or payment. There is no query limit behind a login. It writes the query from your description; you run it yourself against your database, so you stay in control of what actually executes.

Can it write INSERT, UPDATE and DELETE, not just SELECT?

Yes, it can write any statement you describe, including inserts, updates, deletes and schema changes. Take extra care with anything that modifies data: always read the generated statement, check the WHERE clause targets the right rows, and run it inside a transaction or against a backup first so a mistake can be rolled back.

Can it explain the SQL it gives me?

Yes. Ask for an explanation and it describes what each clause does, why it chose a particular join and how the filters combine, which is useful when you are learning or need to justify a query in review. You can also paste an existing query and ask only for the walkthrough without changing anything.

What are the usage limits?

Code tools are text tools, so they are unmetered during the current free launch phase, iterate on a bug or generate as many drafts as the work needs. A short per-minute limit guards against scripted abuse only. Paid plans with higher limits and priority model access are coming soon.

Also useful