SurfSense
An open-source AI tool that converts documents and web content into structured, queryable knowledge bases for research and learning.
Knowledge BaseDocument AnalysisOpen Source AIAI Research ToolInformation RetrievalUnstructured Data to Structured
SurfSense Introduction
SurfSense is an open-source AI tool that turns your collection of documents and web content into a private, queryable knowledge base. Instead of bookmarking countless pages or digging through folders, you feed documents into SurfSense and then ask questions in natural language to get instant, cited answers. It’s perfect for independent researchers, students, and self-learners who want to build a second brain from scattered materials. Because it can run locally, your data never leaves your machine, making it a privacy-friendly alternative to cloud-based document AI tools.
Key Features
- Ingests PDFs, web pages, and text files to create a searchable knowledge base
- Uses embeddings and vector search to retrieve relevant passages semantically
- Supports question-answering over your document collection using local or cloud LLMs
- Runs entirely locally to keep your data private and secure
- Provides a simple web UI for adding documents and asking questions
