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Development & Technical

Code Comment Generator

Generate clear, standards-compliant code documentation comments in JSDoc, Docstring, Javadoc, XML Doc, and more — from any code snippet.

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The Code Comment Generator analyzes your code and produces professional documentation comments that follow language-specific conventions. Paste a function, class, or module and get properly formatted JSDoc, Python Docstrings, Javadoc, or XML Documentation Comments with parameter descriptions, return types, exception documentation, and usage examples. Stop writing docs manually — let AI handle the boilerplate while you focus on logic.

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The more detail you provide, the better the output.

Min. 20 characters0 / 5,000

Your input is not stored. Results are generated in real time.

Your Code Comment Generator results will appear here

Fill in the form above and click Generate.

How to Use Code Comment Generator

  1. Paste any function, class, method, or code block you want to document.
  2. Select the programming language and comment style that matches your project's conventions.
  3. Choose a detail level: 'Brief' for quick summaries, 'Comprehensive' for full docs with examples and edge cases.
  4. Copy the generated documented code back into your editor — the comments are formatted and ready to use.

Use Cases

1

Add JSDoc comments to JavaScript/TypeScript functions for IDE IntelliSense support

2

Generate Python docstrings following Google or NumPy conventions

3

Create Javadoc for Java classes and interfaces before a code review

4

Document C# public APIs with XML documentation comments for automated doc generation

5

Add comprehensive inline comments to complex algorithms for team knowledge sharing

Tips for Best Results

  • Paste complete function signatures including type annotations — the more the AI knows about types, the better the documentation will be.
  • Use 'Comprehensive' detail level for public APIs and library interfaces that external developers will use.
  • For private/internal methods, 'Brief' level is usually sufficient — focus comprehensive docs on your public surface area.
  • The generated docs work directly with documentation generators: JSDoc, Sphinx, Javadoc, Sandcastle (C#), and godoc.

Frequently Asked Questions

Does it understand complex TypeScript types?

Yes. The generator handles generics, union types, intersection types, mapped types, conditional types, and complex interfaces. It will document type parameters and constraints in the JSDoc/TSDoc output.

Can I paste an entire class or module?

Yes. Paste a complete class and the generator will produce documentation for the class itself, its constructor, and all public methods. For very large files, consider documenting critical sections individually for best results.

What Python docstring format does it use?

By default, it uses Google-style docstrings (Args, Returns, Raises sections). If you prefer NumPy-style or reStructuredText, mention it in your code snippet description and the generator will adapt.

Does it generate inline comments too?

Select 'Inline Comments' as the comment style. The generator will add comments to lines where the logic is non-obvious — complex conditionals, algorithm steps, workarounds, and business rules. It avoids trivial comments like '// increment counter'.

Will it preserve my existing code?

Yes. The generator wraps your original code with documentation comments. Your code logic, formatting, and variable names remain unchanged — only comments are added above or around the relevant code blocks.

Can I use this for documenting REST API controllers?

Yes. Paste your controller/route handler code and select the appropriate language. The generator will document endpoint paths, HTTP methods, request parameters, response types, and error responses — which pairs well with OpenAPI documentation tools.

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Write a Python function that [describe what it does]. Include type hints and a docstring.

Explain this code and suggest improvements: [paste code]

Generate unit tests for the following function: [paste function]

Write a SQL query to [describe what you need] from a table with columns [list columns].

Create a README.md for a [project type] project with installation, usage, and contributing sections.

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