SwagDocs - OpenAPI to Markdown Converter

Convert Swagger/OpenAPI endpoints into high-quality Markdown documentation

SwagDocs - Swagger/OpenAPI to Markdown Converter Transform any Swagger UI or OpenAPI documentation into clean, developer-ready Markdown with a single click. SwagDocs is the ultimate companion for developers, technical writers, and AI engineering workflows. It integrates directly into Swagger UI pages, allowing you to select specific API endpoints and generate high-quality, LLM-friendly Markdown documentation instantly. 🚀 Key Features Universal Compatibility: Works on ANY website hosting a standard Swagger UI (Spring Boot, NestJS, .NET, etc.), including those in embedded iframes or Single Page Applications (SPAs). One-Click Selection: Adds native checkboxes directly to the Swagger UI. Select individual endpoints or entire groups effortlessly. AI-Optimized Output: Generates clean, structured Markdown perfectly formatted for Large Language Models (ChatGPT, Claude, Gemini) or your technical documentation. Custom System Prompts: Customize the output context with your own System Prompt (e.g., "You are a Senior Frontend Engineer...") to get code generation results that match your specific tech stack. Instant Preview & Download: Preview the generated Markdown in real-time or download it immediately as an api-docs.md file. Visual Logic: Visual indicators for methods (GET, POST, DELETE, etc.) and selected states ensure you know exactly what you're documenting. 🛠️ How it Works Navigate to any Swagger UI page. Select the endpoints you need using the injected checkboxes. Open the SwagDocs popup to preview the generated Markdown. Copy to clipboard or Download as a file to use with your AI assistant or documentation codebase. 🆕 What's New Download Feature: Save your docs as .md files directly. Enhanced Detection: Now works reliably on modern SPAs and async-loaded Swagger docs. Robust Layout: Improved visual integration that respects the host site's styling. 🌐 Official Resources Landing Page: https://swagdocs.congphan.dev Source Code: https://github.com/cong85010/swagdocs