Doc Comment Generator

Generate a documentation comment skeleton — JSDoc/TSDoc, Python docstring, or JavaDoc — from a function's name, parameters, and return description. Free, instant, and private — generation happens in your browser.

100% Private — Runs entirely in browserInstant calculation & resultFree, no sign-up

Doc Comment Generator

Generate a documentation comment skeleton — JSDoc/TSDoc, Python docstring, or JavaDoc.

Doc comment
/**
 * Describe what this function does.
 */

Why use a code comment generator for developer documentation?

Authoring high-quality source code documentation is vital for software maintainability, developer onboarding, and public API adoption. Structured documentation comments allow modern IDEs (such as Visual Studio Code, IntelliJ IDEA, and PyCharm) to display rich hover tooltips, inline parameter descriptions, and type information directly to developers as they code.

However, manually typing comment syntax—such as @param tags, return descriptions, error annotations, and multi-line docstring indentations—can be tedious and error-prone. An interactive code comment generator automates documentation skeleton creation for JSDoc, TSDoc, Python docstrings (Google & NumPy styles), and JavaDoc.

  • Multi-Language Syntax Support: Instantly generate documentation skeletons for JavaScript (JSDoc), TypeScript (TSDoc), Python (Google/NumPy Docstrings), and Java (JavaDoc).
  • Parameter & Return Type Formatting: Document function parameters, data types, default values, and return descriptions with correct tag structures (@param, @returns, @throws).
  • IDE Tooltip Compatibility: Format comments to comply with standard doc generator specifications (TypeDoc, Sphinx, Javadoc) so tooltips render perfectly inside modern code editors.
  • Customizable Templates: Include optional author tags, version annotations, usage examples (@example), and deprecation warnings (@deprecated).

Doc comment parsing & AST template generation architecture

Our code comment generator parses function signatures, parameter lists, and return specifications using client-side string analysis engines. By interpreting language-specific keywords (such as async, function, def, or public static), the generator structures clean comment blocks tailored to each programming ecosystem.

For JSDoc/TSDoc output, the engine formats double-asterisk comment blocks (/** ... */) with typed @param {type} name lines. For Python docstrings, the builder formats triple-quoted strings (""" ... """) with standardized section headers like Args: and Returns: aligned to official style guides.

Client-side security for private source code

Your function names, variable parameters, and application code logic are processed strictly inside your client browser runtime. No source code or documentation text is uploaded to external web servers or analyzed by third-party tracking scripts.

Step-by-step guide to generating function documentation comments

  1. Select Target Format: Choose your target documentation standard (JSDoc, TSDoc, Python Google Docstring, Python NumPy, or JavaDoc).
  2. Enter Function Signature: Input your function name, parameters with types, return description, and optional exception details.
  3. Copy & Paste into Source Code: Copy the formatted comment block and paste it directly above your function or method declaration in your code editor.

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Frequently Asked Questions

  • Why are structured documentation comments important for software development?
    Structured comments provide clear documentation directly in source code. IDEs like VS Code, WebStorm, and PyCharm use them to display hover tooltips, autocompletion details, and type hints. Documentation generators (TypeDoc, Sphinx, Javadoc) also convert them into static API reference websites.
  • What is the difference between JSDoc, TSDoc, and JavaDoc formats?
    JSDoc uses /** ... */ block syntax with @param {type} name and @returns {type} tags for JavaScript. TSDoc extends JSDoc for TypeScript by relying on TypeScript's native type annotations while supporting tags like @remarks and @param. JavaDoc uses similar syntax tailored to Java classes and methods.
  • How do Google-style and NumPy-style Python docstrings differ?
    Google-style docstrings use explicit section headers like Args: and Returns: with indented parameter descriptions. NumPy-style docstrings use underlined headers (Args\n----) suited for scientific code. Both formats are parsed by Sphinx to generate HTML documentation.
  • Should I document internal private helper functions or only public APIs?
    Public APIs, exported functions, and complex business logic should always be documented with doc comments to guide consumers. For simple internal helper functions, concise single-line comments or self-documenting parameter names may suffice unless the algorithm involves non-obvious edge cases.
  • How do I document thrown exceptions or errors in doc comments?
    In JSDoc/TSDoc and JavaDoc, use the @throws {ErrorType} Description tag to list errors a function may throw. In Python Google-style docstrings, add a Raises: section detailing error conditions so callers can handle exceptions properly.
  • Can I generate code comment skeletons for asynchronous functions or Promises?
    Yes! When generating JSDoc/TSDoc for async functions, specify the return type as Promise<ReturnType> (e.g., Promise<User>). In Python, async functions use standard type hints (async def) while docstring descriptions clarify resolved return values.
  • Is any of my source code or function signature sent to remote servers?
    No. All documentation comment parsing, parameter extraction, and template generation run 100% locally in your browser via client-side JavaScript. Your code snippets, parameter names, and function logic never leave your computer.
  • How can I copy and insert generated doc comments into my code editor?
    Once generated, click the Copy button to copy the formatted comment block to your clipboard. In VS Code or WebStorm, paste the block directly above your target function declaration (function, def, or public void).
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