Text2SQL.ai enables generation of SQL queries from natural language inputs. Users provide database schemas including tables, columns, and relationships to produce accurate and optimized SQL code for major databases such as MySQL, PostgreSQL, Oracle, SQL Server, Snowflake, and BigQuery. The tool supports a web interface and desktop version that runs locally to keep credentials secure, with only schema details sent to the cloud. Additional functions include query explanations, SQL fixing, Regex generation, and Excel formula creation. Insights feature delivers queries, results, auto-generated charts, and explanations in one view. A public REST API allows integration for SQL generation and error handling.
Text2SQL.ai uses large language models (LLMs) to understand user questions in natural language and convert them into structured SQL queries. Users can add their database schema so the AI produces more precise and optimized SQL tailored to the specific dataset.
Generates correct SQL on first try for most requests with clear schema
Reduces syntax errors compared to manual writing
Produces queries in seconds for complex requests
Versatile for Regex and Excel formulas beyond SQL
Accuracy depends on quality of provided schema and prompt clarity
Requires manual execution of generated queries in user database
Desktop version sends schema to cloud despite local data retention
*Price last updated on Jan 17, 2026. Visit text2sql.ai's pricing page for the latest pricing.
