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Parse and convert SQL Data Definition Language (DDL) statements into a structured JSON data format.

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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.
CREATE TABLE and ALTER TABLE, accurately extracting key information such as field types, primary keys, unique constraints, and auto-increment properties.CREATE TABLE statement into the input box.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.
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).
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.