Doxygen
One of the best AI tools for software documentation, Doxygen helps generate documents from annotated C++ sources and supports other programming languages. Dimitri van Heesch developed this app with the main objective of simplifying extracting information directly from the source and creating continuity between the source code and documentation.
Features
- It offers cross-platform support
- Allows you to automatically generate documentation from code comments
- The platform supports various programming languages, including Python, Java, PHP, and more
Pricing
It is a free, open-source and cross-platform.
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Pros |
Cons |
|---|---|
|
Structured XML output |
Client-side search is limited to symbols, not full-text searching |
|
Fast search engine |
CHM file compilation is only supported on Windows |
Availability- This free and open-source software is available on Windows, Linux and MacBook.
Link: https://www.doxygen.nl/
10 Best AI Tools for Software Documentation
Do you need help capturing unstructured data from physical documents and converting it into structured data? In the world of AI, you must know how to leverage this technology that allows you to extract information from unstructured and complex documents using NLP (Natural Language Processing), OCR (Optical Character Recognition), and machine learning algorithms.
Not only do these tools help reduce stacks of paperwork archives, but they also save time by generating documentation based on the codebase.
With the remarkable growth of AI adoption, especially after 2020, not using the best AI tools for software documentation can put you behind. To help you streamline your documentation process, we will cover everything about these tools, including their top features, pros & cons, pricing, availability, and ratings.