Swagger API: What It Is, How It Works, and Core Tools Explained

BO
Bildad Oyugi
Head of Content
14 min read |

TL;DR: Swagger is a suite of open-source and commercial tools from SmartBear Software that helps developers design, document, test, and generate code for REST APIs using the OpenAPI Specification.

Key Takeaways:

  • Swagger is a toolset, not a specification. The specification it implements is called the OpenAPI Specification (OAS), which was originally named the Swagger Specification before being donated to the Linux Foundation in 2015.
  • The core Swagger tools are Swagger Editor (for writing API definitions), Swagger UI (for rendering interactive documentation), Swagger Codegen (for generating client SDKs and server stubs), and SwaggerHub (a hosted collaboration platform).
  • Swagger supports both a design-first approach (write the spec, then build the API) and a code-first approach (build the API, then generate the spec from annotations).
  • Swagger UI generates interactive API reference documentation, but does not produce the getting-started guides, tutorials, or onboarding content developers also need.
  • Tools like InstantDocs complement Swagger by using AI to generate and maintain the broader documentation layer that auto-generated API references cannot cover.

You built an API. The endpoints work. But the first partner who tries to integrate sends you a message: "I can see the endpoints, but how do I actually authenticate? Where's the getting-started guide?"

Swagger solves the first half of that problem. It gives development teams a set of tools for designing, documenting, and testing REST APIs against a standardized specification. But most teams only scratch the surface of what Swagger offers, and many confuse it with OpenAPI.

This guide covers what Swagger actually is, how each tool works, how it relates to OpenAPI, and where it falls short so you can fill the gaps.

What Is Swagger?

Swagger is a suite of open-source and commercial tools built by SmartBear Software for working with REST APIs. It helps developers design API structures, generate interactive documentation, produce client libraries and server code, and test API endpoints.

The name causes confusion because Swagger was originally both the toolset and the specification. Tony Tam created Swagger in 2011 at Wordnik as an open-source framework for describing and documenting REST APIs. By 2015, Swagger had become the most widely used API description format in the industry. That year, SmartBear donated the specification to the Linux Foundation, which renamed it the OpenAPI Specification (OAS) and placed it under the governance of the OpenAPI Initiative.

SmartBear kept the "Swagger" brand for its tools. So today, the relationship is straightforward: OpenAPI is the specification (the rulebook). Swagger is the toolset (the software that implements the rulebook).

What Are the Core Swagger Tools?

Swagger includes four primary tools. Each serves a different stage of the API lifecycle.

1. Swagger Editor

A browser-based editor for writing and editing OpenAPI definition files in YAML or JSON. It validates your definition against the OpenAPI Specification in real time, flagging errors and suggesting corrections as you type. The right-hand panel renders a live preview of your API documentation so you can see how endpoints, parameters, and responses will appear.

Swagger Editor is free and open-source. Most teams use it during the API design phase to draft and refine their spec before writing any code.

2. Swagger UI

An open-source tool that takes an OpenAPI definition file and renders it as an interactive, web-based documentation site. Developers can browse available endpoints, read parameter descriptions, view request/response schemas, and execute live API calls directly in the browser using the "Try it out" feature.

Swagger UI is the most widely used component of the Swagger toolkit. If you have ever visited an API documentation page where you could test endpoints in the browser, there is a good chance it was powered by Swagger UI.

3. Swagger Codegen

A code generation engine that reads an OpenAPI file and produces client SDKs, server stubs, and API documentation in 40+ programming languages, including Python, JavaScript, Java, Go, Ruby, C#, and TypeScript. Server stubs provide the routing and parameter-parsing scaffolding so developers only need to fill in the business logic.

Swagger Codegen significantly reduces manual coding. A team building integrations for 5 partner platforms in different languages would spend weeks writing client libraries by hand. Codegen produces the same output in minutes.

4. SwaggerHub

A hosted, commercial platform that combines Swagger Editor, Swagger UI, and Swagger Codegen into a single collaborative environment. It adds team features like version control, role-based access, API standardization rules, and integration with CI/CD pipelines, GitHub, and other development tools.

SwaggerHub is SmartBear's paid product. It targets teams and enterprises that need centralized API governance and collaboration beyond what the free open-source tools provide.

Here is how the four tools compare:

ToolWhat It DoesWho Uses ItOpen Source?Primary Stage
Swagger EditorWrite and validate OpenAPI definitionsAPI designers, backend developersYesDesign
Swagger UIRender interactive API documentationAll developers, QA, partnersYesDocumentation
Swagger CodegenGenerate SDKs, server stubs, and docsBackend developers, DevOpsYesDevelopment
SwaggerHubCollaborative API design and governanceTeams, enterprisesNo (commercial)Full lifecycle

How Does Swagger API Documentation Work?

Swagger API documentation starts with a single file: the OpenAPI definition. This YAML or JSON file describes every endpoint, parameter, request body, response schema, authentication method, and error code in your API.

Here is a simplified example:

openapi: "3.0.3"

info:

title: Orders API

version: 1.0.0

servers:

- url: https://api.example.com/v1

paths:

/orders:

get:

summary: List all orders

parameters:

- name: status

in: query

schema:

type: string

enum: [pending, shipped, delivered]

responses:

'200':

description: A list of orders

content:

application/json:

schema:

type: array

items:

$ref: '#/components/schemas/Order'

components:

schemas:

Order:

type: object

properties:

id:

type: integer

product:

type: string

status:

type: string

total:

type: number
Once you have this file, Swagger UI reads it and generates an interactive documentation page. Each endpoint gets its own section with collapsible details showing parameters, expected responses, and a "Try it out" button that sends live requests to the API.

The documentation updates automatically whenever the OpenAPI file changes. There is no manual writing involved for the reference layer. If you add a new endpoint to the spec, it appears in the documentation immediately.

This automation is the core value of Swagger for documentation. But it only covers reference documentation. The interactive page shows developers what each endpoint does, but it does not explain how to authenticate for the first time, handle pagination in a real workflow, or troubleshoot common integration errors. Those require written guides.

What Is the Difference Between Swagger and OpenAPI?

This is the most common source of confusion, and the previous article in this series What Is OpenAPI? covers it in depth. Here is the summary.

Swagger started as both a specification and a toolkit. In 2015, SmartBear donated the specification portion to the Linux Foundation. The specification was renamed the OpenAPI Specification. SmartBear retained the Swagger brand for its tools.

Today:

  • OpenAPI = the specification (the rules for how to describe a REST API)
  • Swagger = the tools (software that helps you work with OpenAPI files)

You write an API description following the OpenAPI Specification. Then you use Swagger tools (or alternatives like Postman, Redoc, or Stoplight) to design, document, test, and generate code from that description.

The naming confusion exists because many developers still say "Swagger spec" when they mean "OpenAPI spec," and some frameworks (like older versions of Spring Boot's Springfox library) still use "Swagger" in their configuration even though they output OpenAPI 3.0 files.

If you hear someone say "our API has a Swagger," they almost always mean "our API has an OpenAPI definition file."

How Do You Use Swagger for API Testing?

Swagger UI doubles as a lightweight API testing tool. Here is how teams typically use it.

Interactive Testing in the Browser

Open your Swagger UI documentation page. Expand any endpoint. Click "Try it out." Fill in the required parameters, add authentication headers or tokens if needed, and click "Execute." Swagger UI sends the request to the live API and displays the response, including status code, response body, and headers.

This is useful for quick validation during development and for onboarding new team members who want to explore the API without setting up a local environment.

Contract Testing With the OpenAPI File

The OpenAPI definition file acts as a contract. Tools like Dredd and Schemathesis read the file and auto-generate test cases that compare the API's actual behavior against the documented specification. If the API returns a field type that does not match the schema, or if a required parameter is missing from a response, the test fails.

This catches drift between the documentation and the live API before it reaches production.

Validation and Linting

Spectral and the built-in Swagger Editor validator check the OpenAPI file itself for errors, inconsistencies, and style guide violations. These tools integrate into CI/CD pipelines, so every pull request that modifies the API spec is automatically validated.

Swagger's testing capabilities are useful but focused on the API contract layer. For end-to-end testing, load testing, or complex workflow testing, teams typically pair Swagger with dedicated tools like Postman, BlazeMeter, or k6.

Should I Use Design-First or Code-First With Swagger?

Swagger supports both approaches. The right choice depends on your team's workflow and the API's complexity.

Design-First

You write the OpenAPI definition file before writing any API code. The spec becomes the blueprint. Frontend and backend teams agree on endpoints, request/response shapes, and authentication before implementation begins. Mock servers (generated from the spec) let client-side developers start building immediately.

Best for: new APIs, public/partner-facing APIs, teams with separate frontend and backend developers, APIs that need stakeholder review before development starts.

Code-First

You build the API in code and generate the OpenAPI definition from annotations or decorators in your codebase. Frameworks like Spring Boot (with Springdoc), ASP.NET (with Swashbuckle or NSwag), and FastAPI (which generates OpenAPI natively) support this approach.

Best for: rapid prototyping, internal APIs, small teams where the same developers write and consume the API, projects where the API evolves quickly, and maintaining a separate spec file adds friction.

The industry trend favors design-first for production APIs because it produces cleaner, more consistent specifications and catches design problems before code is written. Code-first remains popular for internal tools and MVPs where speed matters more than API governance.

What Are the Limitations of Swagger for API Documentation?

Swagger is powerful for reference documentation, but has clear boundaries.

Reference only. Swagger UI generates endpoint-by-endpoint reference docs. It does not produce getting-started guides, authentication walkthroughs, use-case tutorials, troubleshooting content, or conceptual explanations. These are the documents developers reach for first, and they require separate writing and maintenance.

REST APIs only. Swagger and the OpenAPI Specification are designed for REST APIs. They do not support GraphQL, gRPC, WebSocket, or event-driven architectures natively. (AsyncAPI exists as a companion spec for event-driven APIs.)

Limited customization in Swagger UI. While Swagger UI is functional, it produces a standardized layout. Customizing the look, feel, and structure to match your brand or integrate with existing documentation requires front-end development work.

No content maintenance. Swagger auto-generates reference docs, but the broader documentation layer (guides, FAQs, tutorials) goes stale unless someone manually updates it. Most teams do not have dedicated technical writers, so this content falls behind.

This gap between auto-generated reference docs and the human-written content developers actually need is where a knowledge base tool like InstantDocs fits in. InstantDocs uses AI to generate and maintain the guides, tutorials, and onboarding content that Swagger cannot produce. Its Knowledge Gap Finder identifies what is missing before users report it.

How Do I Set Up Swagger UI for My API?

Setting up Swagger UI takes minutes if you already have an OpenAPI definition file.

Option 1: Static Hosting

Download the Swagger UI dist folder from the GitHub repository. Copy the contents to any static web server. Open index.html and replace the default Petstore URL with the URL to your OpenAPI definition file. Deploy. Your interactive documentation is live.

Option 2: Framework Integration

Most backend frameworks include Swagger/OpenAPI libraries that automatically serve Swagger UI.

  • Node.js (Express): Use swagger-ui-express to mount Swagger UI at a route like /api-docs
  • Python (FastAPI): FastAPI generates an OpenAPI spec and serves Swagger UI at /docs by default, with zero configuration
  • Java (Spring Boot): Use Springdoc OpenAPI to auto-generate the spec from annotations and serve Swagger UI at /swagger-ui.html
  • C# (ASP.NET): Use Swashbuckle or NSwag to generate the spec and embed Swagger UI in your application

Option 3: SwaggerHub

Upload your OpenAPI file to SwaggerHub. It hosts the documentation, provides a collaboration layer, and generates a shareable URL. This is the simplest option, but it requires a paid plan for private APIs.

The Swagger Petstore demo is a good reference for what a fully configured Swagger UI implementation looks like in practice.

What Tools Complement Swagger for Full Documentation Coverage?

Swagger handles the API reference layer. Here is what you need for everything else.

Broader Documentation (Guides, Tutorials, Onboarding)

Swagger UI tells developers what endpoints exist. It does not teach them how to use the API in practice. For getting-started guides, authentication walkthroughs, use-case tutorials, and troubleshooting pages, you need a dedicated documentation platform.

InstantDocs uses AI to generate this content from your existing processes and knowledge, and its Knowledge Gap Finder identifies what is missing across your documentation.

API Testing Beyond Contract Validation

Swagger handles contract testing. For end-to-end testing, load testing, and complex multi-step workflow testing, teams use Postman, BlazeMeter, k6, or Schemathesis alongside Swagger.

Alternative Documentation Renderers

Swagger UI is not the only option for rendering OpenAPI files. Redoc produces a clean, three-panel layout that some teams prefer. Stoplight Elements offers a customizable React-based documentation component. Both read the same OpenAPI file Swagger uses.

API Gateway Configuration

Kong, AWS API Gateway, and Azure API Management import OpenAPI definitions to configure routing, rate limiting, authentication, and monitoring. The same file that powers your Swagger documentation configures your production infrastructure.

The pattern is consistent: the OpenAPI file is the center of your API workflow. Swagger tools handle design, reference docs, and code generation. Other tools handle everything else.

The key is making sure the human-readable layer keeps pace with the auto-generated reference. That is where most teams fall behind, and where AI-powered documentation tools deliver the most value.

What Is SwaggerHub?

SwaggerHub is SmartBear's commercial, hosted platform for API design and documentation. It bundles Swagger Editor, Swagger UI, and Swagger Codegen into a single web application with added collaboration and governance features.

Key capabilities include;

  • Team-based editing with version control
  • Standardization rules that enforce API style guidelines across teams
  • Domain definitions for reusing common schemas across multiple APIs
  • Integration with GitHub, GitLab, and Bitbucket
  • Automated mocking to simulate API responses during design.

SwaggerHub offers a free tier for individual developers (limited to 3 API definitions). Paid plans start at $35/month per user for teams that need collaboration features and private APIs.

For teams evaluating SwaggerHub specifically for its documentation hosting, it is worth noting that SwaggerHub generates the same Swagger UI reference output as the free open-source tools.

The value-add is in the collaboration and governance layer, not the documentation format.

FAQ

Is Swagger Free to Use?

Swagger Editor, Swagger UI, and Swagger Codegen are all free and open-source under the Apache 2.0 license; SwaggerHub is the only commercial product in the suite.

Can Swagger Generate Code in My Programming Language?

Swagger Codegen supports 40+ languages including Python, JavaScript, Java, Go, Ruby, C#, TypeScript, PHP, and Swift.

What Is the Swagger Petstore?

The Petstore is Swagger's official demo API, available at petstore.swagger.io, that lets developers explore a fully configured Swagger UI implementation with live, testable endpoints.

Does Swagger Work With GraphQL?

No, Swagger and the OpenAPI Specification are designed exclusively for REST APIs; GraphQL uses its own schema definition language and tooling.

How Is Swagger Different From Postman?

Swagger focuses on API design, specification, and auto-generated reference documentation, while Postman is primarily an API testing and collaboration platform that can also import OpenAPI files.

Conclusion

Swagger gives development teams a proven set of tools for designing, documenting, testing, and generating code for REST APIs. Swagger Editor handles the design phase. Swagger UI produces interactive reference documentation. Swagger Codegen automates client and server code generation. SwaggerHub ties it all together for teams.

But Swagger's auto-generated documentation only covers the reference layer: endpoints, parameters, schemas, and response codes. The getting-started guides, authentication tutorials, and troubleshooting content that developers reach for first require a different approach.

That is what InstantDocs handles. It uses AI to generate the documentation Swagger cannot, finds the gaps in your existing content, and keeps everything maintained.

Start your free trial of InstantDocs and build the complete documentation your developers actually need.

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