Keyline: An AI-Powered PDF Reading Assistant
Keyline is an AI-powered PDF reading assistant built on Google Gemini's multimodal understanding. Upload a document and Keyline reads it the way a person would, including the figures, diagrams, and tables, not just the surrounding text. Ask a question and it answers with citations that link back to the exact page the answer came from.
Keyline is built for the moments when you need an answer from inside a document, or from across a whole library of documents, faster than reading page by page.
New to Keyline? The Keyline product page covers what it is, how it compares to other tools, and how teams put it to work. This documentation covers how to use it day to day.
What Keyline can do
- Read a single document deeply. Keyline understands page layout, figures, diagrams, and tables, not just plain text, so a question about a chart gets a real answer.
- Answer with citations. Every answer links back to the page it came from, so you can verify it in seconds.
- Search across many files at once. A multi-file search index lets you ask a question once and get results pulled from every relevant document in your library.
- Stay organized. Libraries and bundles keep your uploaded files grouped so you can find and reuse the right set later.
Where to go next
- Getting started: upload your first PDF and see what happens next.
- Reading and analyzing PDFs: the PDF view, page navigation, and how Keyline reads figures and tables.
- Conversations and citations: asking questions and following an answer back to its source.
- Searching across multiple files: asking one question across your whole library.
- Organizing your library: libraries and bundles.
- FAQ: file types, size limits, sharing, languages, and troubleshooting.