SQL Genius

SQL Genius is a developer tool. A web-based assistant that turns plain English requests into SQL queries using schemas you provide, and explains pasted SQL in plain language. Best for analysts and beginners who need quick query drafts and readable breakdowns of existing statements.

SQL Genius is a web tool that converts plain English requests into SQL statements and then explains existing SQL in readable terms. The workflow centers on a schema panel: you list your tables by name and paste in the schema definition for each one, and optionally pick the SQL dialect, with Postgres SQL shown as the default choice. With that context in place, you type what you want in ordinary language and the tool returns a query built against your actual columns and types rather than a generic guess. The second half of the product is the explainer. You paste a SQL query into the input box and the tool produces a formatted version of the statement alongside a written explanation of the query logic, which the sample output demonstrates with a concatenated full name, a length calculation, an ORDER BY and a LIMIT. That pairing makes the tool reasonable for people who inherit queries they did not write, or for analysts who want to confirm what a statement does before running it against production data. It suits non engineers who need occasional database answers, junior developers still learning SQL syntax, and analysts who know the question but not the join structure. It also fits teams doing code review on unfamiliar queries. Because the tool works from schemas you supply, it is closer to a query drafting and reading assistant than to a database client: it does not connect to your data, so the accuracy of the output depends on how completely you describe your tables. Compared with asking a general chat assistant, the dedicated schema input is the differentiator, since it pushes the model toward your real table and column names. Compared with full IDEs and BI platforms, SQL Genius is narrow by design: no execution, no dashboards, no schema introspection. The site also publishes a blog with practical database write ups, and includes feedback and pricing links in the navigation.