
T-SQL Parser,
A ready-to-go solution!
Four reason to Buy




Working with T-SQL
Parse T-SQL code to check for syntax errors, enforce coding standards, and ensure consistency across large codebases. This is especially useful for automated code reviews and maintaining quality over time.
Transform parsed queries into structured representations like Abstract Syntax Trees (ASTs) or visual diagrams, helping developers understand complex nested queries, joins, and execution flows.
Automatically refactor legacy SQL—such as converting deprecated syntax, splitting monolithic procedures into smaller, modular components, or adapting to newer SQL Server versions.
Outdated technologies often carry hidden vulnerabilities. Transpilers help you migrate to well-supported, secure environments and stay ahead of compliance requirements.
Automate the transformation of even the most extensive legacy codebases. Skip the error-prone manual rewrite and move faster with a high-quality, automated approach.
Why Choose Strumenta's T-SQL Parser?
01Proven Reliability

02Comprehensive Documentation and Support

03Effortless Integration

Technical specifications
and license details
The Python parser extracts structured models from code, producing an Abstract Syntax Tree (AST). The Code Generation module, available as an optional extension, performs the reverse operation: It converts an AST back into SQL code, allowing structured modifications and generation of new code.
This module is useful in several cases:
- Generating new SQL code from scratch
- Generating new SQL Modifying existing SQL code, making it particularly useful for automated refactoring. from scratch
- Analyze SQL code to detect specific patterns or function calls that are obsolete or incorrect.
- Modify the AST to introduce structured changes.
- Regenerate the updated SQL code, ensuring correctness and consistency.
- Standard
- Distribution
- Service License