Free Docstring & JSDoc Generator

Paste a function signature and get a ready-to-use JSDoc comment or Python docstring template instantly — complete with a parameter list and a heuristic one-line description guessed from your function name. No signup, no cost, no limit. Great for quickly scaffolding documentation before filling in the details.

About this Docstring Generator

Documenting functions is easy to skip when you're moving fast, but it makes a huge difference for anyone reading your code later — including future you. This Docstring Generator takes a function signature and instantly produces a documentation template: a JSDoc comment block for JavaScript, or a docstring for Python, complete with a parameter list and a suggested one-line description.

Just paste a signature like function getUserById(id) or def validate_email(email): and the tool detects the language, extracts the function name and parameters, and builds a ready-to-edit comment block around them.

JSDoc vs Python docstrings

JSDoc is the de-facto standard for documenting JavaScript functions using /** ... */ block comments with tags like @param and @returns. Editors like VS Code read JSDoc comments to power autocomplete and inline type hints, even in plain JavaScript files. Python docstrings use triple quotes ("""...""") placed directly under the function definition, typically following the Google or NumPy style with Args: and Returns: sections — this tool generates the Google-style format. Both formats are picked up automatically by documentation generators and IDE tooltips.

Why document functions

• Saves reviewers and teammates from having to read the full implementation to understand intent
• Powers IDE autocomplete, inline hints, and type checking tools
• Makes onboarding new developers to a codebase faster
• Forms the basis for auto-generated API reference documentation
• Encourages you to think through parameters and return values while writing the function

How the description is guessed

The generator does not read or execute your function — it only looks at the function name. It splits camelCase, PascalCase, and snake_case names into individual words (for example calculateTotalPrice becomes "calculate total price"), then checks whether the first word is a common verb like get, is, has, create, fetch, or validate. If it recognizes the verb, it fills in a template sentence around the remaining words (for example hasPermission becomes "Checks whether it has permission."). If the verb isn't recognized, it falls back to capitalizing the words as a generic sentence. This is a simple naming-convention heuristic, not code analysis — it will not catch edge cases, side effects, or anything not reflected in the function's name.

Tips for better docs

• Always review and rewrite the guessed description to reflect what the function actually does
• Replace the generic {*} types in JSDoc with real types like {string} or {number}
• Fill in the Returns: / @returns section — the generator leaves it blank
• Mention side effects (network calls, mutations, thrown errors) that aren't obvious from the name
• Keep descriptions short and specific rather than restating the function name in words

FAQ