Text2SQL.ai
Text-to-SQL generator with schema awareness, query explain/fix/optimize, an API, and a local desktop app
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www.text2sql.aiAbout Text2SQL.ai
Text2SQL.ai converts plain-language questions into SQL and back again. Beyond generation it will explain an existing query, fix a broken one, and optimize a slow one, with dialect-specific handling for MySQL, PostgreSQL, Oracle PL/SQL, and Microsoft SQL Server. The feature that separates it from a generic chat prompt is Schemas: you register your tables, columns, and relationships once, and the model then writes queries against your actual data model instead of guessing at column names, which is what usually makes generic LLM SQL unusable on a real database. Conversations support follow-ups, so you can refine a query in place rather than re-describing it. There is a public API for generating SQL from text inside your own tooling. For teams that cannot send database credentials to a vendor, a cross-platform desktop app for Windows, macOS, and Linux is bundled with all Pro subscriptions — it connects to local or remote databases from your own machine and sends only schema names to the AI providers, keeping credentials and row data off the network. The product also spans adjacent generators for Excel and Sheets formulas and regex. The site reports 256,000 users and publishes customer case studies, one of which quotes a founder saying most requests generate the right SQL on the first try. Documentation is public, so the API surface can be evaluated before signing up.
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Key Features
Text2SQL.ai Pros & Cons
✅ Pros
- +Schema registration makes output usable on real databases, not toy examples
- +Desktop app keeps credentials local while still using hosted models
- +API access means it can sit inside your own internal tooling
⚠️ Cons
- −The public pricing page was broken at the time of listing
- −Desktop app is bundled with Pro only
- −Schema names are still sent to third-party AI providers
Who Is Text2SQL.ai Best For?
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