PaperClip for Web

Product overview

PaperClip is a browser-based assistant built for people working in AI research. It helps you collect and organize findings from research papers, blogs, and news about machine learning, computer vision, and natural language processing. Think of it as a compact “second brain” that keeps important insights and references in one place for quick review.

Capabilities at a glance

• Local-first storage that keeps your notes and metadata on your device to preserve privacy and avoid sending sensitive content to remote servers.
• Fast, focused search tools that let you pull up saved items and key findings quickly.
• One-click clearing of stored entries so you can manage or remove saved data without fuss.
• Cross-platform compatibility thanks to a lightweight Svelte-based implementation, making it usable across desktop and web environments.
• Offline access so you can consult your collection of summaries and annotations even when you don’t have an internet connection.

Privacy and data control

PaperClip emphasizes keeping user data private by storing information locally rather than in the cloud. This design minimizes exposure of your notes and extracted details, and also enables you to erase saved content instantly with a single action when needed.

Technical notes

The interface and client are implemented using the Svelte framework, which helps keep the application responsive and portable across different operating systems and browsers.

Alternatives

If you prefer a different solution, Logwise is a paid option often recommended as an alternative to PaperClip. It may offer a different set of integrations or features suited to other workflows.