Security and documentation
JWT, RBAC, exception handling and OpenAPI documentation are selectable from Pro / Startup. Enterprise options include SSO and attribute-based access control.
SPRING BOOT BACKEND GENERATOR
Your schema. A structured Spring Boot application.
Turn SQL tables and relationships into a layered Java backend, with entities, repositories, services and REST controllers.
Java / Spring Boot
Architecture you can work with.
Keep persistence, business logic and HTTP endpoints in separate layers. Spring Data repositories connect your schema to a familiar Java application structure.
Choose Spring Boot when your team works in Java and wants explicit service boundaries. Review entity relationships and transaction boundaries before adding your domain-specific rules. Flyway or Liquibase can keep relational schema changes versioned.
Database integration
PostgreSQL and MySQL use Spring Data JPA. MongoDB output uses document models and Spring Data MongoDB rather than relational JPA mappings.
REPRESENTATIVE PROJECT
src/main/java/…/
model/
repository/
service/
controller/
dto/
security/
src/main/resources/
application.yml
pom.xmlCustomerRepository.java
import org.springframework.data.jpa.repository.JpaRepository;
public interface CustomerRepository
extends JpaRepository<Customer, Long> {
}Illustrative excerpt. The full output depends on schema and configuration.
Schema to Spring Boot source.
The same structured input, rendered through templates for your selected framework.
schema.sql INPUT
CREATE TABLE customers (
id BIGINT PRIMARY KEY,
email VARCHAR(255) NOT NULL
);
CREATE TABLE orders (
id BIGINT PRIMARY KEY,
customer_id BIGINT REFERENCES customers(id),
total DECIMAL(10, 2) NOT NULL
);SrujanX engineDeterministic by design
- Analyze schema
- Map relationships
- Generate source
- Package project
Java / Spring Boot OUTPUT
src/main/java/…/
model/
repository/
service/
controller/
dto/
security/
src/main/resources/
application.yml
pom.xml Yours to inspect. Yours to extend.
WHAT YOU GET
A foundation, with the pieces connected.
Generate models, data access, a service layer and CRUD endpoints from tables and relationships. Add application-specific business rules to the source you download.
Deployment and operations
Dockerfiles are available from Pro; Team adds Redis caching and tracing. Agency Scale adds Kubernetes manifests, Helm and CI/CD configuration. Review secrets, infrastructure and tests before deploying.
Source you can extend
Single-module projects keep the initial structure straightforward. Eligible plans can separate the contract and implementation into modules within one deployable application.
Read the usage guide →A CLEAR PATH TO SOURCE
Less setup.
More application.
From an existing schema or a structured requirement to a project you control.
- 01
Upload a schema
Start with SQL or describe your requirements. Review the structured schema, tables and relationships.
- 02
Choose your configuration
Select the stack, database and architecture. Add the capabilities available in your plan.
- 03
Generate. Download. Build.
Generate the source, download your project and configure it for your environment. Extend it with your business logic.
SQL / structured schemaSrujanX engineSpring Boot · Node.js · NestJS · Go · Python
Natural-language input is structured before generation. The backend source is generated deterministically.
The Agency Scale and Enterprise plans support a multi-module layout with separate contract and implementation modules. This is one deployable application; it does not imply a gateway or service discovery.
BUILD WHAT COMES NEXT
Your schema already
defines the backend.
Let SrujanX build the foundations. Keep the source.
Make the application yours.
schema.sql
→ models + relationships
→ services + REST APIs
→ your next application