# 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](/keyline) 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](/docs/keyline/getting-started): upload your first PDF and see what
  happens next.
- [Reading and analyzing PDFs](/docs/keyline/reading-pdfs): the PDF view, page navigation,
  and how Keyline reads figures and tables.
- [Conversations and citations](/docs/keyline/conversations-and-citations): asking
  questions and following an answer back to its source.
- [Searching across multiple files](/docs/keyline/multi-file-search): asking one question
  across your whole library.
- [Organizing your library](/docs/keyline/organizing-your-library): libraries and bundles.
- [FAQ](/docs/keyline/faq): file types, size limits, sharing, languages, and
  troubleshooting.