Free AI Tool
AI README Generator
Drop in a GitHub URL or describe your project — Gemini 2.5 writes a polished README.md with real install commands, real usage examples, and the conventional section order. Pulls metadata directly from your repo (language, topics, license) so the output matches reality, not boilerplate.
How it works
Input
Public GitHub URL or a paragraph describing your project.
Generate
Gemini 2.5 Flash Lite writes the README using your real metadata.
Ship
Copy or download the markdown — drop it into your repo as README.md.
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README generator: common questions
What does the AI README generator need as input?
Paste a public GitHub repo URL. The README generator reads the repo metadata, language breakdown, package manifests, license, and existing structure, then writes a fresh README.md. You can also pass a private repo by uploading the package.json or pyproject.toml manually if you do not want to make the repo public.
What sections does the README generator produce?
It generates the sections most maintainers actually need: title and tagline, badges, install commands per package manager, quick start, usage examples, configuration, contributing, license, and a credits block. Sections that do not apply to your repo are skipped, so a CLI tool and a library each get the right structure.
Is the README generator free?
Yes, it is free with no signup, no rate limit, and no watermark on the output. You own the result and can paste it straight into your repo. Docsio uses the same generation pipeline inside its docs platform, where the README is the seed for a full docs site customers can publish in one click.
How does this compare to GitHub's built-in README template?
GitHub's template is a blank skeleton you fill in by hand. This tool reads the repo and writes real content: install commands derived from the actual package manager, usage examples matched to the language, and badges that point at the right CI and registry URLs. You start from a complete draft, not an empty file.
Can I edit the README after it is generated?
Yes. The output is plain markdown, so you can paste it into VS Code, GitHub web, or any markdown editor and tweak freely. Most users keep the structure, then add a project-specific quick start or screenshot. Re-running the generator after a major refactor takes seconds and gives you a clean updated draft.