Welcome to your go-to guide for getting started with Screenpipe, an open-source tool that seamlessly captures audio and screen data. Below, we’ll walk through the installation process, various usage scenarios, and troubleshooting tips to ensure you have everything you need for a successful experience!

What is Screenpipe?

Screenpipe is a powerful library designed to build personalized AI applications using the audio and screenshot data from your computer. Think of it as a friendly assistant that can record your screen and audio, analyze it, and provide insights—all while keeping your data secure and under your control.

How to Get Started with Screenpipe

There are multiple ways to set up Screenpipe on your machine:

• Install as a CLI: Ideal for technical users who are comfortable using command-line interfaces.
• Paid Desktop App: Get a version with 1-year updates and priority support.
• Free Forever Desktop App: Build it yourself from the open-source version.
• Rust or WASM Library: For developers looking to integrate it into applications.

Installation Procedures

1. Install as a CLI

If you choose to install via the command line, follow these steps for your respective OS:

MacOS Installation

brew tap mediar-aiscreenpipe https://github.com/mediar-ai/screenpipe.git
brew install screenpipe
screenpipe

Want to adjust settings? Here are some commands you can use:

screenpipe --disable-audio  # To disable audio recording
screenpipe --save-text-files  # To save OCR data in a text file
screenpipe --debug  # To run in debug mode

Windows Installation

In Windows, you need to install prerequisites like Chocolatey, Git, and CUDA Toolkit. Once set, follow these commands:

choco install pkgconfiglite rust
git clone https://github.com/mediar-ai/screenpipe
cd screenpipe
cargo build --release --features cuda

Linux Installation

Linux users can install using:

sudo apt-get update
sudo apt-get install -y ffmpeg
git clone https://github.com/mediar-ai/screenpipe
cd screenpipe
cargo build --release

Usage Examples

Now that you’ve successfully installed Screenpipe, let’s explore how you can utilize it. Here’s a practical pseudo-code example:

const results = fetchScreenpipe(startDate, endDate);
const summary = fetchOllama(results); 
addToNotion(summary); 

In this analogy, think of Screenpipe as a diligent librarian. You walk in with a request for a summary of a specific section from a pile of books (your audio and screen data). Screenpipe diligently retrieves the relevant information, compiles it neatly, and hands it back to you for future reference!

Troubleshooting Tips

Encounter a roadblock? Here are some common troubleshooting tips:

• Installation Issues: Make sure you have installed all required dependencies. Sometimes, clearing cache and re-running the commands fixes issues.
• Audio Not Recording: Ensure your input settings in Screenpipe are correctly configured. Check the permissions on your operating system.
• Performance Issues: If Screenpipe is running sluggishly, make sure your hardware meets the recommended specifications.

If you have further questions or need assistance, feel free to reach out through our [feedback page](mailto:louis@screenpi.pe?subject=Screenpipe%20Feedback).

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

Screenpipe is not just a tool but a gateway to many possibilities in your workflows, ranging from personal assistance to compliance tracking. At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.