Screenpipe

What is Screenpipe?

Screenpipe is an open-source application designed for capturing screen and audio recordings. It integrates artificial intelligence to enable searching through recorded content, making it easier to find specific information within your videos. This tool is particularly useful for individuals and teams who frequently create video tutorials, record meetings, or document processes.

The AI capabilities extend beyond simple search. Screenpipe allows for the creation of automations based on recorded content, which can streamline workflows and reduce manual effort. For users concerned about data privacy or seeking offline functionality, Screenpipe supports local Large Language Models (LLMs). This means sensitive information can be processed locally without being sent to external servers, offering a more secure and controlled environment for analysis and interaction with recorded data.

Its open-source nature encourages community contributions and allows for customization. Screenpipe is suitable for developers, technical writers, educators, and anyone who needs to record, organize, and analyze video content efficiently. The ability to run LLMs locally provides flexibility for users with specific privacy requirements or those who prefer not to rely on cloud-based AI services. This makes it a versatile tool for managing and extracting value from screen recordings.

Key features

• Screen and audio recording
• AI-powered content search
• Local LLM support
• Automation capabilities
• Open-source code
• Cross-platform support
• Extensible via plugins

Use cases

• Creating searchable video documentation for software.
• Recording and analyzing code walkthroughs or bug demonstrations.
• Building a personal knowledge base from video tutorials.
• Automating repetitive tasks based on screen activity.
• Training AI models with local, private data.

Pros & cons

FAQ