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+# Installation 💻
+
+Crawl4AI offers flexible installation options to suit various use cases. You can install it as a Python package, use it with Docker, or run it as a local server.
+
+## Option 1: Python Package Installation (Recommended)
+
+Crawl4AI is now available on PyPI, making installation easier than ever. Choose the option that best fits your needs:
+
+### Basic Installation
+
+For basic web crawling and scraping tasks:
+
+```bash
+pip install crawl4ai
+playwright install # Install Playwright dependencies
+```
+
+### Installation with PyTorch
+
+For advanced text clustering (includes CosineSimilarity cluster strategy):
+
+```bash
+pip install crawl4ai[torch]
+```
+
+### Installation with Transformers
+
+For text summarization and Hugging Face models:
+
+```bash
+pip install crawl4ai[transformer]
+```
+
+### Full Installation
+
+For all features:
+
+```bash
+pip install crawl4ai[all]
+```
+
+### Development Installation
+
+For contributors who plan to modify the source code:
+
+```bash
+git clone https://github.com/unclecode/crawl4ai.git
+cd crawl4ai
+pip install -e ".[all]"
+playwright install # Install Playwright dependencies
+```
+
+💡 After installation with "torch", "transformer", or "all" options, it's recommended to run the following CLI command to load the required models:
+
+```bash
+crawl4ai-download-models
+```
+
+This is optional but will boost the performance and speed of the crawler. You only need to do this once after installation.
+
+## Option 2: Using Docker (Coming Soon)
+
+Docker support for Crawl4AI is currently in progress and will be available soon. This will allow you to run Crawl4AI in a containerized environment, ensuring consistency across different systems.
+
+## Option 3: Local Server Installation
+
+For those who prefer to run Crawl4AI as a local server, instructions will be provided once the Docker implementation is complete.
+
+## Verifying Your Installation
+
+After installation, you can verify that Crawl4AI is working correctly by running a simple Python script:
+
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler
+
+async def main():
+    async with AsyncWebCrawler(verbose=True) as crawler:
+        result = await crawler.arun(url="https://www.example.com")
+        print(result.markdown[:500])  # Print first 500 characters
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+This script should successfully crawl the example website and print the first 500 characters of the extracted content.
+
+## Getting Help
+
+If you encounter any issues during installation or usage, please check the [documentation](https://crawl4ai.com/mkdocs/) or raise an issue on the [GitHub repository](https://github.com/unclecode/crawl4ai/issues).
+
+Happy crawling! 🕷️🤖