TEXT2SQL

Convert English text prompts into optimized SQL queries, and vice versa, with support for multiple dialects and customization options for seamless data management.
SQL Query Generation Natural Language Processing Database Management

TEXT2SQL.AI is an AI SQL query builder that can help you generate and optimize SQL queries. You can use it to convert plain English text into SQL queries, a useful ability for anyone managing data across different databases. The service supports several SQL dialects, including MySQL, PostgreSQL, Snowflake, BigQuery, MS SQL and others.

With TEXT2SQL.AI, you can:

  • Create SQL queries: Convert English text prompts into SQL queries for complex operations.
  • Explain SQL queries: Convert SQL queries into plain English text.
  • Correct SQL queries: Find and fix errors in SQL queries.
  • Use custom database schema: Use your own database tables to generate SQL queries.
  • Create Excel formulas and Regex expressions: Convert prompts into formulas and expressions for Microsoft Excel and Google Sheets and regular expressions.

The service can be integrated with other tools and can be used through an API. TEXT2SQL.AI offers two pricing tiers:

  • Monthly Plan: $7 per month, 500 requests per month, and includes SQL AI generation, explanation and correction, as well as Excel and Google Sheets formulas and Regex support.
  • Annual Plan: $29 per month, 3000+ requests per month, and includes API access and priority email support.

TEXT2SQL.AI offers a 7-day free trial, so you can try the service before you pay. You can try all the features during the free trial period and cancel at any time.

Though the service uses advanced Natural Language Processing technology, it warns you to verify results, especially for complex queries. And the more detail you provide, such as the database schema, the better the results will be.

TEXT2SQL.AI is geared for people who are just starting to learn SQL skills and for professionals who want to automate their work. With competitive pricing and broad support, it's become a popular option for data management and SQL query generation.

Published on June 9, 2024

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