Stop searching. Start asking. Turn any document into an intelligent conversation partner.
Literature reviews, hypothesis generation, and finding connections across papers that you'd never spot manually. Advanced RAG strategies designed for scientific inquiry.
Connect Google Drive, Dropbox, Notion, or search academic databases (Google Scholar, Semantic Scholar, arXiv). Upload PDFs, EPUBs, Word docs, and more.
Shared workspaces, collaborative notes, and role-based access. Turn individual research into collective knowledge.
Your documents never leave your control. Self-host or use our cloud—either way, your data is yours.
Research is drowning in documents. Literature reviews take weeks. Finding connections between papers is manual detective work. Your team's collective knowledge stays siloed in individual folders.
The real challenge isn't finding information—it's understanding it. You need to:
Scrapalot transforms document chaos into structured knowledge. It's not just search—it's a research intelligence platform.
"I uploaded 50 research papers and asked it to compare methodologies across studies. Got a comprehensive answer in seconds with exact citations."
Perfect for literature reviews, hypothesis generation, grant writing, and discovering hidden connections across research domains. Supports academic connectors (Google Scholar, Semantic Scholar, arXiv) for direct paper import.
"Our PhD students complete literature reviews in days instead of months. The knowledge graph reveals relationships between papers we never noticed."
Accelerate research workflows, enable cross-departmental collaboration, and build institutional knowledge bases that persist beyond individual projects.
"We centralized 5 years of internal research reports. Now our scientists can query across all past experiments instantly."
Turn scattered research into searchable, queryable knowledge. Find prior art, avoid duplicating experiments, and build on past discoveries.
"Our technical documentation finally makes sense. New engineers onboard faster, and senior devs answer questions without context-switching."
Knowledge sharing without the bottleneck. Your documentation becomes a conversational partner, not a maze of markdown files.
Step 1: Upload & Connect Drag and drop PDFs, EPUBs, Word docs, or connect Google Drive, Dropbox, Notion. Search academic databases directly (Google Scholar, Semantic Scholar, arXiv). We'll read everything—even scanned documents and images.
Step 2: Ask Anything
"What were the main findings in the Q3 reports?"
"Compare the pricing models mentioned in these contracts."
"Summarize all the security requirements across our documentation."
Step 3: Get Smart Answers
Not just keyword matches—actual understanding. With citations, so you can verify everything.
The Secret Sauce
We use more than 10 perfectly crafted intelligent search strategies, and let an AI agent automatically select the optimal approach for your question.
Three-Way Search Fusion:
Smart Context System:
Advanced Processing:
Knowledge Graph Enhancement:
You don't need to understand the internals—it just works. But for the curious, we've documented our architecture in detail.
Perfect for individual researchers and students.
Desktop App (Fully Open Source)
Cloud Version (Free Tier)
For research teams and small organizations.
For large institutions and organizations.
Transparent Pricing Model
Researcher Plan: Fully open source desktop app. Free cloud tier for individual academics.
Professional/Enterprise: Proprietary team collaboration and multi-user management code. Deploy to your own infrastructure or use our managed cloud.
Your research data is always yours - export and migrate anytime.
Most tools do keyword matching. Scrapalot uses agentic RAG with 13 strategies, tri-modal fusion (semantic + lexical + graph), and knowledge graphs. Ask "What methodologies do these papers share?" and get synthesis across sources with exact citations.
We built this because literature reviews were painful. Spending weeks reading papers, manually tracking citations, losing insights in scattered notes. If it frustrated us, we fixed it. The result: a research intelligence platform, not just document search.
The desktop version is fully open source (MIT licensed). All RAG strategies, chunking methods, and core features are available. Fork it, modify it, use it however you want. We monetize through managed cloud hosting and enterprise team features, not by restricting research capabilities.
Under the hood: Advanced search algorithms, intelligent routing, three-way fusion, context expansion, knowledge graphs, and 17+ processing strategies. On the surface: a simple chat interface. You get research-grade AI without needing a technical background.
Just Want to Try It?
Quick Start → - 10 minutes to your first answer
Want to Understand How It Works?
Architecture Deep Dive → - For the technically curious
Need Help?
FAQ → - Common questions
GitHub Discussions - Ask the community
Email Us - We actually respond