DDL to JSON Converter

DDL to JSON: Core Features and Principles

When you need to use SQL database table structures for API documentation, code generation, or data migration, manually parsing complex DDL statements is both time-consuming and error-prone. This tool automatically parses your SQL Data Definition Language (DDL) statements and outputs structured JSON data. It is essentially an SQL syntax parser specifically designed to handle definition statements like CREATE TABLE. It maps information such as table names, field names, data types, and constraints (e.g., primary keys, NOT NULL, default values) into standard, machine-readable JSON objects.

Why Choose Our DDL to JSON Tool?

• Accurate Standard Syntax Parsing: Deeply supports core DDL statements like CREATE TABLE and ALTER TABLE, accurately extracting key information such as field types, primary keys, unique constraints, and auto-increment properties.
• Structured JSON Output: The generated JSON format has a clear hierarchy and contains complete table structure metadata, which can be directly used for automation scripts, configuration generation, or frontend rendering.
• Instant Local Conversion: The conversion process is typically completed locally in your browser without uploading sensitive DDL code to a server, ensuring data privacy and security.

How to Use

1. Paste or manually enter your SQL CREATE TABLE statement into the input box.
2. The tool will trigger the parsing process automatically or when you click the "Convert" button.
3. View the generated JSON structure in the output area. You can directly copy it or use the download feature to save the results.

Frequently Asked Questions (FAQ)

Q: Which database DDL syntaxes are best supported?
This tool offers the best compatibility with standard DDL syntaxes of mainstream relational databases like MySQL, PostgreSQL, and SQLite. Parsing may be incomplete for proprietary extension syntaxes of specific databases (such as certain advanced index or partition clauses).

Q: What is DDL to JSON used for?
The converted JSON can be directly used to generate Schemas in API interface documentation, serve as a configuration source for ORM models, or synchronize data structure definitions in decoupled frontend/backend projects, significantly improving development efficiency.

Important Notes

Please ensure that the syntax of your input DDL statements is correct. Complex nested subqueries or stored procedure definitions may not be parsed correctly. This tool focuses primarily on table structure definitions and has limited support for other objects like CREATE VIEW or CREATE PROCEDURE. Although processing is done locally, we still advise against inputting DDL that contains real sensitive data from production environments (such as internal IPs or password hashes).

Technical Notes & Best Practices

For database architects or full-stack developers, we recommend using this tool during the database design review or microservice interface definition phases. A typical use case is quickly converting existing database table creation scripts into JSON Schema for integration with Swagger/OpenAPI documentation. For example, if you input CREATE TABLE users (id INT PRIMARY KEY AUTO_INCREMENT, username VARCHAR(50) NOT NULL UNIQUE, email VARCHAR(100));, the tool will output a JSON object containing the table name "users" and all field attributes (types, constraints), clearly displaying the structured definition of the table.