AI SQL query builder. Describe what you want in plain English and get the SQL query instantly. 100% browser-based with zero uploads.
100% browser-based — your data never leaves your device
Build SQL queries from natural language descriptions using a pattern-based engine.
Sample descriptions you can try:
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SQL Query BuilderBuild SQL queries from natural language descriptions using a pattern-based engine.
Writing SQL from scratch is easy to get subtly wrong, from join conditions to dialect-specific functions. This builder takes a plain-English description and produces the query using a pattern-based engine that runs entirely in your browser.
Analysts and developers alike hit moments where they know the outcome they want but have to fumble through the syntax to express it. The builder covers the everyday statement types, SELECT, INSERT, UPDATE, DELETE, plus JOINs, GROUP BY, HAVING, ORDER BY, and subqueries, so describing the result in words gets you most of the way there in one step. For someone learning SQL, comparing the natural-language description against the generated statement is a genuinely effective way to see how the syntax maps to intent.
Dialect support is where the tool proves it understands real databases. MySQL, PostgreSQL, and SQL Server diverge in date functions, string handling, and syntax details, so selecting the right dialect means the generated query runs the first time rather than after an edit pass. And because the output is editable, you can take a generated starting point and refine it into exactly the query you need.
The descriptions you type name your actual tables, columns, and domain, and the queries reveal how your data is organized and what your application tracks. Sending those to a server-based generator leaks a map of your database schema and business logic.
This builder runs its pattern matching entirely in your browser. Your descriptions and generated queries never leave your device, so you can draft SQL against real production schemas without exporting your data model to a third party.
Type what you want in plain English, e.g., 'select all users who signed up last month'.
Press Generate to convert your description into a SQL query.
Copy the generated SQL query for use in your database client or application.
Practical examples to help you get the most out of SQL Query Builder:
// Description: 'Show all orders with customer names from the last 30 days' // Generated (MySQL): // SELECT o.id, o.order_date, c.name // FROM orders o // JOIN customers c ON o.customer_id = c.id // WHERE o.order_date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY) // ORDER BY o.order_date DESC
// Description: 'Insert a new user named Alice with email alice@example.com'
// Generated (PostgreSQL):
// INSERT INTO users (name, email, created_at)
// VALUES ('Alice', 'alice@example.com', NOW())
// RETURNING id;Instead of 'get user info', use 'select name, email from users where id = 1'. Specific table and column names produce accurate SQL without guessing.
MySQL uses DATE_SUB(), PostgreSQL uses INTERVAL, SQL Server uses DATEADD(). Always select the correct dialect to get dialect-appropriate syntax.
It matches your natural language description against a library of SQL query patterns and generates the appropriate SQL statement.
MySQL, PostgreSQL, and SQL Server. SELECT, INSERT, UPDATE, DELETE, JOIN, GROUP BY, HAVING, and subqueries.
No. Everything runs locally in your browser. Your descriptions and queries never leave your device.
Yes. The generated SQL is editable — you can modify it directly before copying.
Describe your query in plain English — no SQL syntax knowledge required.
Supports SELECT, INSERT, UPDATE, DELETE, JOIN, GROUP BY, HAVING, ORDER BY, and subqueries.
Output for MySQL, PostgreSQL, or SQL Server with dialect-specific syntax.
All query generation happens locally — your descriptions never leave your browser.
AI SQL Query Builder is useful in a variety of scenarios across different workflows:
Quickly generating SQL queries from business requirements without writing raw SQL
Learning SQL by comparing natural language descriptions to generated query syntax
Building complex queries with JOINs and aggregations by describing the desired result
Include specific table and column names in your description for more accurate SQL generation. 'Select name and email from users table' works better than 'Get user info'.
Different databases have different syntax. Always select the correct dialect (MySQL, PostgreSQL, SQL Server) for dialect-specific features and functions.
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