TEXT2SQL.AI
About TEXT2SQL.AI
TEXT2SQL.AI is designed to simplify SQL query writing by leveraging AI to convert plain English into SQL. It's perfect for both novices and seasoned professionals aiming to enhance their SQL skills quickly. Users can easily integrate their database schemas to automate SQL generation effortlessly.
TEXT2SQL.AI offers flexible pricing plans starting with a free tier for up to 20 requests. The monthly plan is priced at $10, allowing 500 requests, while the annual plan offers a discount, facilitating 3,000 requests for $19 monthly. Users can save up to 43% annually.
The user interface of TEXT2SQL.AI is intuitive and streamlined, designed for maximum efficiency. Users can easily navigate through features, input prompts, and view generated outputs seamlessly. The clean layout and responsive design enhance the overall browsing experience, making SQL generation straightforward.
How TEXT2SQL.AI works
To start using TEXT2SQL.AI, users sign up to create an account, granting access to free requests. Users input their prompts or SQL-related queries, specifying their database schema and preferred SQL dialect. The platform then generates optimized SQL queries, explanations, or fixes, all in a user-friendly format.
Key Features for TEXT2SQL.AI
AI-Enhanced SQL Query Generation
TEXT2SQL.AI specializes in AI-driven SQL query generation, converting user prompts into precise SQL statements. This feature saves time and reduces errors for both seasoned developers and beginners, providing an effective solution for writing and understanding SQL efficiently.
Multilingual SQL Support
TEXT2SQL.AI offers multilingual support, enabling users to generate and explain SQL queries in multiple languages. This feature enhances accessibility for a diverse audience, making SQL writing easier for non-native speakers and improving the overall user experience.
Custom Database Schema Integration
The custom database schema integration feature of TEXT2SQL.AI allows users to import their specific database structures. This ensures that the generated SQL queries are tailored to the user’s context, improving accuracy and relevance while streamlining the query generation process.
