AI API Documentation Generator

The documentation is generated in clean Markdown format that can be published directly to platforms like GitHub, GitBook, Notion, or any documentation site. It includes properly formatted code blocks with syntax highlighting, tables for parameter descriptions, and structured sections for each endpoint with consistent formatting throughout.

Yes, each endpoint includes working code examples in your chosen languages. cURL examples show the raw HTTP request, JavaScript examples use fetch or axios, and Python examples use the requests library. Each example includes proper headers, authentication, request bodies, and response handling so developers can copy and paste them directly.

Each endpoint documents its possible error responses with HTTP status codes, error message formats, and common causes. For example, a 422 response lists which fields can fail validation and why, while a 429 response explains rate limit policies. This helps API consumers handle errors gracefully rather than guessing what went wrong.

Absolutely. Describe your existing endpoints including their paths, methods, parameters, and response shapes. The AI generates documentation that matches your actual API behavior. For the most accurate results, include details about required vs optional parameters, response field types, and any special authentication requirements.

For large APIs, generate documentation in logical sections — group endpoints by resource like users, posts, and payments. Each section gets its own generation pass to ensure thorough coverage. Then combine the sections with a table of contents, authentication overview, and getting started guide for a complete documentation site.