Anara builds a research library from uploaded files or connections to Zotero, Mendeley, Notion, Google Drive, PubMed, arXiv, and JSTOR, then lets a user query across a single document or the entire library with grounded, clickable citations tied back to exact source passages, plus draft writing with automatic citation formatting.
Its more distinctive capability is structured data extraction: rather than only answering questions in prose, Anara can convert tables and structured information scattered across PDFs into typed schemas, a genuinely different output format than the summary-and-citation pattern most competitors in this category default to. The company reports 97% higher retrieval accuracy than general-purpose AI on this kind of document task, with more than 3 million researchers using the platform.
Anara comes in five tiers from a free plan through Enterprise with custom SSO and data processing agreements. For a researcher who needs structured data pulled out of dozens of PDFs into a consistent schema, not only prose answers to individual questions, Anara's typed-extraction feature addresses that specific workflow more directly than a general chat-with-your-documents tool.
