Education

Free SQL Query Generator

Q: Is this SQL Query Generator free?

Yes. You can generate SQL queries for free. Some advanced modes (like INSERT/UPDATE/DELETE/CTE) may be marked as premium depending on your plan.

Q: Which databases and SQL dialects are supported?

You can generate SQL for PostgreSQL, MySQL, SQLite, SQL Server (T‑SQL), Oracle, BigQuery, and Snowflake. Choose the dialect so functions, quoting, and date syntax match your database.

Q: Do I need to provide my schema?

No. You can generate a query from a plain-English request alone. Providing tables and columns (schema) helps the generator produce more accurate JOINs and column names.

Q: Will the tool run my query against my database?

No. It only generates SQL text. You run it in your own environment (e.g., psql, MySQL client, SQL Server Management Studio, BigQuery console, or your BI tool).

Q: Can it generate JOINs correctly?

Yes—especially when you include table relationships in the schema (e.g., orders.customer_id → customers.customer_id). If relationships aren’t provided, the tool makes a best-guess and you can adjust as needed.

Q: Does it handle date ranges and time filters?

Yes. It can generate queries for rolling windows (last 7/30/90 days), specific date ranges, and time-based grouping, using dialect-appropriate date functions.

Q: Is the generated SQL safe for UPDATE/DELETE?

It aims to be safety-first by including WHERE clauses by default and warning about full-table operations. Always review generated SQL before executing—especially in production.

Q: Can I ask for performance-optimized SQL?

Yes. Add a note like “optimize for performance” or provide constraints (indexes, partition keys). The generator will favor efficient filters and avoid unnecessary complexity where possible.

Turn plain English into production-ready SQL queries for SELECT, JOINs, GROUP BY, filtering, inserts, updates, and deletes. Great for analysts, developers, students, and anyone working with databases.

Mode:

Generated SQL

Your SQL query will appear here...

How the AI SQL Query Generator Works

Get results in seconds with a simple workflow.

Describe the Query in Plain English

Write what you want to retrieve or change (tables, filters, metrics, grouping, sorting). The clearer the request, the better the SQL.

Choose Your SQL Dialect (and Add Schema if You Have It)

Select PostgreSQL, MySQL, SQL Server, BigQuery, etc. Optionally paste your tables and columns to improve accuracy and reduce manual edits.

Generate and Copy

Get formatted SQL in seconds. Copy the query into your database client or BI tool, run it, and tweak any column names to match your exact schema.

See It in Action

See how the SQL generator turns a plain-English request into a ready-to-run query.

Before

I need the top 5 products by revenue last month, include product name and total revenue, only completed orders.

After

SELECT p.name AS product_name, SUM(oi.quantity * oi.unit_price) AS total_revenue FROM orders o JOIN order_items oi ON oi.order_id = o.order_id JOIN products p ON p.product_id = oi.product_id WHERE o.status = 'completed' AND o.created_at >= DATE_TRUNC('month', CURRENT_DATE) - INTERVAL '1 month' AND o.created_at < DATE_TRUNC('month', CURRENT_DATE) GROUP BY p.name ORDER BY total_revenue DESC LIMIT 5;

Why Use Our AI SQL Query Generator?

Plain-English to SQL (Instant)

Describe the query you want in natural language and generate clean SQL for common tasks like filtering, sorting, joins, and limits.

Supports Popular SQL Dialects

Generate queries tailored to PostgreSQL, MySQL, SQLite, SQL Server (T‑SQL), Oracle, BigQuery, and Snowflake so syntax matches your database.

Schema-Aware Results (Optional)

Paste your table schema (tables + columns) to get more accurate JOINs, column selections, and WHERE conditions that match your database structure.

Readable, Maintainable SQL

Produces formatted SQL with clear aliases and sensible structure—ideal for analytics, reporting, dashboards, and production code reviews.

Aggregation & Reporting Queries

Generate GROUP BY, HAVING, windowing-friendly structures, and KPI queries such as revenue totals, cohorts, funnels, and conversion rates.

Safety-First for UPDATE/DELETE

Encourages safe WHERE clauses and adds warnings for potentially destructive operations, helping prevent accidental full-table updates or deletes.

Pro Tips for Better Results

Get the most out of the AI SQL Query Generator with these expert tips.

Include table relationships for better JOINs

Add notes like “orders.customer_id references customers.customer_id” to get correct JOIN conditions and reduce trial-and-error.

Specify output columns and sorting

Instead of “top customers,” say “return customer_id, full_name, total_revenue; sort by total_revenue desc; limit 10” for precise results.

Be explicit about filters

Mention statuses, segments, and time windows (e.g., paid orders, completed sessions, last 30 days). This prevents overly broad queries.

Ask for guardrails on destructive queries

If generating UPDATE/DELETE, ask to “include a safe WHERE clause” and “add a preview SELECT” so you can validate affected rows before changes.

Request dialect-specific best practices

If you’re on BigQuery or Snowflake, say so—date functions, quoting, and performance patterns vary across engines.

Who Is This For?

Trusted by millions of students, writers, and professionals worldwide.

Generate SELECT queries for dashboards and BI reporting (filters, sorting, pagination)

Create JOIN queries across customers, orders, payments, and products tables

Write GROUP BY queries for KPIs like revenue, ARPU, AOV, churn, and retention summaries

Build SQL for cohort analysis and time-based reporting (daily/weekly/monthly rollups)

Draft INSERT statements for seed data, test fixtures, and quick data entry

Create safe UPDATE/DELETE queries for cleanup tasks (with explicit WHERE conditions)

Learn SQL faster by translating plain English requirements into working examples

Speed up data exploration in PostgreSQL/MySQL/BigQuery/Snowflake for analytics teams

Generate SQL queries from plain English (without fighting syntax)

Writing SQL is weirdly simple until it suddenly isn’t.

You start with a quick SELECT and five minutes later you’re juggling JOINs, date filters, grouping rules, and that one dialect specific function that works in Postgres but breaks in MySQL. This free SQL Query Generator is built for that exact moment.

Type what you want in normal language and you’ll get clean, formatted SQL back. Not just toy examples either. Real queries you can paste into your editor, run, and tweak.

What this SQL Query Generator can help you create

Most people come here for one of these:

SELECT queries for dashboards, reports, ad hoc analysis, and “can you pull me this number real quick”
JOIN queries across customers, orders, payments, products, subscriptions, you name it
GROUP BY + HAVING summaries for KPIs like revenue, AOV, ARPU, churn, retention, and cohorts
CRUD statements like INSERT, UPDATE, DELETE (with safety reminders so you don’t nuke a table on accident)
CTEs (WITH queries) when logic gets messy and you want it readable

And because dialects matter, you can generate SQL specifically for PostgreSQL, MySQL, SQLite, SQL Server, Oracle, BigQuery, or Snowflake.

If you paste your schema, the results get way better

You do not have to include tables and columns. The tool can still generate a query from your request.

But if you paste something like:

customers(customer_id, full_name)
orders(order_id, customer_id, total_amount, status, created_at)

you’re basically giving the generator the map. It can choose the right columns, pick sensible aliases, and create more accurate joins and filters.

Quick tip: if you know relationships, add them in plain text too. Example: orders.customer_id references customers.customer_id. That one line saves a lot of guesswork.

How to write a “good” prompt (so you get better SQL)

The best inputs are slightly boring, very specific. Like:

What tables you care about (or what the entities are)
The exact columns you want returned
Filters (status, segment, country, plan, whatever)
Time window (last 7 days, last month, between two dates)
Sorting and limits
Any special rules (exclude refunds, only paid orders, ignore test accounts)

Example prompt you can copy:

Return customer_id, full_name, and total_revenue for the last 90 days. Only include paid orders. Sort by total_revenue desc. Limit 10.

That kind of clarity produces SQL you can run immediately.

Dialect differences that trip people up (and why selecting the right one matters)

A few common ones:

Date functions vary a lot (Postgres DATE_TRUNC, BigQuery DATE_TRUNC but different flavor, SQL Server has its own patterns)
Identifier quoting changes ("column" vs backticks vs brackets)
LIMIT vs TOP (MySQL/Postgres use LIMIT, SQL Server uses TOP)
Upserts are different across engines (ON CONFLICT, ON DUPLICATE KEY, MERGE)

So yeah, picking the correct SQL dialect is not a small detail. It’s the difference between “runs first try” and “why is this failing”.

For UPDATE and DELETE: use a preview query first

Even if you know what you’re doing, it’s worth being cautious.

A safe workflow is:

Generate an UPDATE or DELETE
Ask for a matching preview like: “also give me a SELECT to preview affected rows”
Run the SELECT first
Then run the write query

It’s boring. It’s also how you avoid a very bad day.

Want more tools like this?

If you’re building reports, writing documentation, or just trying to move faster at work, you’ll probably find other useful generators and writing helpers on WritingTools.ai.

Frequently Asked Questions