Text to SQL Converter - Transform Natural Language into Database Queries

What if you could get data from your database just by asking a question? AI2sql Text to SQL Converter makes this possible. Simply describe what data you need in plain English, and our AI generates the exact SQL query to retrieve it. No SQL knowledge required.

The Power of Natural Language to SQL

Traditional database access requires learning SQL syntax - SELECT, FROM, WHERE, JOIN, GROUP BY, and dozens of functions. Text to SQL removes this barrier. Instead of writing complex queries manually, you simply describe what you need in everyday language.

Example: "Show me the top 10 customers by spending in the last year with more than $1000 in orders, including their name, email, order count, and total spent"

How Text to SQL Works

1. Understanding Your Intent

Our AI analyzes your natural language request to understand:

• What data you want to retrieve

• Which tables and columns are involved

• What conditions or filters to apply

• How to aggregate or sort results

2. Schema Mapping

The AI maps your plain English terms to actual database objects. "Customers" becomes the customers table, "spending" becomes a SUM of order totals, etc.

3. Query Generation

Based on this understanding, the AI constructs a syntactically correct and optimized SQL query.

4. Validation

The generated query is validated against your schema to ensure all referenced tables and columns exist.

Example Conversions

Simple Queries

Text: "Get all products under $50"

SELECT * FROM products WHERE price < 50;

Text: "Find users who signed up today"

SELECT * FROM users WHERE DATE(created_at) = CURDATE();

Filtering and Sorting

Text: "Show me orders from California sorted by date, newest first"

SELECT * FROM orders 
 WHERE shipping_state = 'California' 
 ORDER BY order_date DESC;

Aggregations

Text: "What is the average order value by month for 2024?"

SELECT 
  DATE_FORMAT(order_date, '%Y-%m') as month,
  AVG(total) as avg_order_value
 FROM orders
 WHERE YEAR(order_date) = 2024
 GROUP BY DATE_FORMAT(order_date, '%Y-%m')
 ORDER BY month;

Multiple Tables

Text: "List all customers who have not ordered anything"

SELECT c.* FROM customers c
 LEFT JOIN orders o ON c.id = o.customer_id
 WHERE o.id IS NULL;

Tips for Better Results

Be Specific

Instead of "show me sales data," try "show me monthly sales totals for 2024 by product category"

Mention Time Frames

Include relevant dates: "last week," "in January," "since 2023," "year to date"

Specify Desired Columns

List the fields you want: "including customer name, email, and phone"

Describe Sorting

Indicate order preference: "sorted by highest first," "alphabetically," "by date"

State Limits

Mention if you need limited results: "top 10," "first 100," "the latest 5"

Who Benefits from Text to SQL?

Business Analysts

Get answers from data without writing SQL or waiting for technical teams.

Product Managers

Access metrics and user data directly for faster decision-making.

Marketers

Analyze campaign data and customer segments without technical help.

Executives

Get instant answers to business questions from company databases.

SQL Learners

See how natural language translates to SQL - an excellent learning tool.

Why AI2sql Text to SQL is Different

• Schema-aware - Works with your actual database structure

• Context-preserving - Remembers conversation context for follow-up queries

• Multi-database - Generates syntax for MySQL, PostgreSQL, SQL Server, and more

• Optimized - Produces efficient queries, not just correct ones

Start Converting Text to SQL

Stop struggling with SQL syntax. Type what you need in plain English and let AI2sql generate the query. It is like having a SQL expert available 24/7 to translate your questions into database queries.