Never write a Dockerfile again. Dockerizer takes your code and generates clean, production-ready Dockerfiles in seconds.
Get Early AccessAnalyzing project...
Generating Dockerfile...
// Dockerfile ready.
It always starts simple. A copied base image, a couple of RUN commands, maybe an EXPOSE line here or there. Until reality hits.
Suddenly you're dealing with broken builds, weird environment bugs, and a mountain of edge cases nobody told you about.
And the worst part? Every new project means starting from scratch.
Dockerizer is your AI-powered DevOps assistant. It takes your messy, language-specific, environment-dependent project... and returns a clean, production-ready Dockerfile in seconds.
No more guesswork. No more hunting StackOverflow for Dockerfile best practices. No more broken builds across environments.
You stay focused on your code. Dockerizer handles the container stuff.
Start with a single command.
Get a production-ready Dockerfile in seconds.
$ dockerizer init
Scanning project files...
Detecting environment...
// Dockerfile generated
// Output: Dockerfile
FROM python:3.11-slim
WORKDIR /app
COPY . .
RUN pip install -r requirements.txt
CMD ["python", "app.py"]
Dockerizer doesn't just create Dockerfiles. It makes containerization effortless without black-box magic.
Upload your repository or point Dockerizer to your project folder locally or via CLI.
We detect languages, dependencies, project structure, and environment needs with precision.
Instantly receive a clean, optimized Dockerfile — ready to build and deploy anywhere.
Dockerizer supports a wide range of languages, frameworks, databases, and tools — with more on the way.
Don’t see your stack? Request it here.
Simple, transparent pricing. Pick what works best for you. Everyone starts free during beta.
For curious individuals exploring Dockerizer.
Ideal for indie hackers & freelancers.
For growing teams and startups.
For serious infrastructure needs.
Every time we built something new, we found ourselves dreading one task: creating a good Dockerfile.
We’ve tried copying templates. We’ve followed official guides. We’ve even written internal tooling. But Dockerfiles remained time-consuming, fragile, and surprisingly complex — especially when dealing with custom stacks, caching, or multi-stage builds.
Dockerizer started as an internal script. It worked. It saved us time. Then we added AI to make it even smarter. Now, we want to share it — and we’re building it in the open with feedback from developers like you.
Built by developers. For developers.