code-documenter

You can generate technical documentation by extracting content directly from OpenAPI/Swagger specs, JSDoc annotations, and codebase docstrings. This automated generation process ensures your API references and code documentation are consistently formatted and always up-to-date.

Yes, documentation validation ensures that code examples compile and run as expected. This feature actively checks the executable snippets within your technical docs, preventing broken examples from shipping and maintaining documentation accuracy.

Yes, parsing PDFs requires pypdf, pdfplumber, and pdf2image. These dependencies are necessary specifically for extracting text and visual content from PDF files, enabling the tool to process and include legacy PDF documentation within your automated workflow.

Automating documentation generation from existing docstrings and OpenAPI specs is the best way to keep codebase docs up-to-date. By validating that code examples compile correctly, this automated approach ensures continuous accuracy without manual writing.

Yes, documentation validation works with Swagger specs by extracting API definitions and verifying the associated code examples. This ensures your Swagger documentation accurately reflects the codebase and that all embedded examples compile and run as expected.