AI-powered documentation with summaries, code explanations, semantic search, and more.
Everything you need for next-level Python documentation
Summarize modules, classes, and functions with concise, AI-generated overviews.
Plain-English explanations of code logic for better understanding and onboarding.
Query documentation with natural language (e.g., 'find data processing functions').
Create working code examples from docstrings automatically.
Extracts and runs code examples from docstrings, reporting results in the docs.
Generate documentation in multiple languages (English, French, Spanish, Chinese) using LLM translation.
Privacy-first processing with local models (e.g., LLaMA 3.2, ctransformers backend).
Works with Sphinx, MkDocs, and Jupyter Notebooks for seamless documentation workflows.
Automatically generate a project-level README summarizing your module, classes, and functions.
Get up and running in minutes
Install PyDocEnhancer with local LLM support (no C++ build tools required)
pip install pydocenhancer[local]Trusted by developers worldwide
Maintain consistent, professional documentation across releases. Generate comprehensive API references automatically.
Standardize documentation practices across your team. Integrate seamlessly with existing workflows.
Document complex algorithms and data processing pipelines with clear, accessible explanations.
Create professional documentation without overhead. Focus on building while maintaining quality docs.
Everything you need to get started