Humata
Product information, use cases, and access for Humata.
Pricing information
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What is Humata?
Humata is an AI knowledge-base tool built around documents and PDFs. It turns uploaded files into a space where users can ask questions, analyze material, and find information across longer documents. The product is suited to researchers, students, and teams that need a more direct way to work through technical papers and other document collections.
Users interact with the uploaded files through questions, while Humata returns answers linked to relevant sections of the source documents. It can summarize findings, compare documents, and rewrite summaries when a different level of detail is needed. Shared team files and webpage embeds also make it possible to expose selected document knowledge to colleagues or site visitors.
Key features of Humata
Document question answering
Users can ask questions about uploaded files, and Humata generates answers from the document content. This is useful for locating specific information, interpreting difficult passages, and getting oriented in an unfamiliar document.
Summaries and findings
Humata can extract findings from lengthy material and organize them into summaries, reducing the need to read every section before forming an overview. Users can ask for a summary to be rewritten when they need a different focus or level of detail.
Document comparison
Users can ask Humata to compare separate files, placing research materials, technical papers, or other documents alongside one another. This supports review work that depends on identifying differences across documents covering a related subject.
Citations and knowledge sharing
Answers include citations pointing back to relevant parts of the source files, so users can inspect the supporting context. Teams can also share files and embed the document-answering experience in a webpage for colleagues or visitors who need access to the underlying knowledge.