Natural Language SQL Builder

Describe what you want in plain English, get production-ready SQL

Describe Your Transformation

Tell us what you want to do in natural language, and AI will generate the SQL

Example Transformations

Click any example to try it out

How Natural Language SQL Works

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1
Understanding Intent

AI analyzes your natural language description to understand the transformation logic

2
SQL Generation

Generates optimized, production-ready SQL code that implements your requirements

3
Validation & Testing

AI validates syntax and provides example outputs to ensure correctness

4
Confidence Scoring

Each result includes a confidence score to help you assess reliability

Best Practices
  • • Be specific about units and formats (e.g., "millions", "2 decimals")
  • • Mention data types if relevant (e.g., "string", "date", "number")
  • • Include edge cases in your description (e.g., "if null, return 0")
  • • Always test generated SQL with sample data before production use

Supported Operations

What you can build with Natural Language SQL

Mathematical
Addition, subtraction, multiplication, division, rounding, percentages
String Operations
Concatenation, substring, upper/lower case, trimming, splitting
Date & Time
Date formatting, age calculation, date arithmetic, extraction
Conditional Logic
If-then-else, case statements, null handling, default values
Type Conversion
String to number, date parsing, boolean conversion, casting
Aggregation
Sum, average, count, min, max, grouping operations