The AI workspace for your textbooks

The AI workspace for your textbooks

Textbooks are reference material, not reading material. Nobody reads a 900-page textbook cover to cover. You need the section on elasticity for the problem set. You need the definition of consideration for the essay. You need the diagram of the nephron for revision. And finding any of these means opening the PDF, guessing the right chapter, and scrolling until you spot the section. The index is built for print, not for the way students actually use textbooks: searching for a concept and needing the relevant section now.

Upload your textbook chapters to Fabric and every concept, definition, diagram, and example becomes searchable by meaning. Your AI tutor reads the textbook alongside your lectures and notes, so it can explain passages using your professor's framing and connect textbook theory to lecture examples.

Search by concept, not page number

AI search reads inside every textbook chapter and searches by meaning. "The section on price elasticity of demand" finds it. "The definition of mens rea" finds it. "The diagram showing the Krebs cycle" finds it. You don't need to know the chapter or the page number. Describe the concept and find the section.

The search works across multiple textbooks and across your other materials simultaneously. "Everything I have on synaptic transmission" finds the textbook chapter, the lecture slide, the recording where the lecturer explained it, and your notes about it. The textbook is one source among many, and the search connects across all of them.

The AI tutor reads the textbook with your lectures

The AI tutor reads your textbook chapters alongside your lecture slides, recordings, and notes. When you ask it to explain a concept, it can draw from both the textbook's treatment and your lecturer's framing. This matters because lecturers often present concepts differently from the textbook: different emphasis, different examples, different theoretical framing. The AI tutor bridges the two.

Ask "explain the difference between the textbook's definition and how the lecturer described it." Ask "what does the textbook say about this concept that wasn't covered in the lecture." Ask "use the textbook example to explain the point from the lecture." The textbook and the lectures become one connected body of knowledge.

Annotate and highlight

Annotations let you highlight and comment on textbook chapters: mark key definitions, flag the section relevant to your essay, note where the textbook contradicts or extends the lecture. Your annotations are searchable across your library, so "every definition I highlighted in the textbook" finds them all. "My notes about sections I didn't understand" finds the flags.

Read textbook chapters in the reader for a distraction-free experience with estimated read times.

Multiple textbooks, one search

Most courses assign a primary textbook and several supplementary ones. Upload chapters from all of them. AI search finds the best treatment of a concept across every textbook you've uploaded. "Which textbook explains regression analysis most clearly" becomes a searchable question rather than a browsing exercise.

The AI assistant can compare how different textbooks explain the same concept, which is useful when one explanation doesn't click and you need another angle.

Useful across your entire degree

Textbooks from earlier courses remain relevant. The introductory statistics textbook is useful when your third-year course assumes you remember the fundamentals. The first-year biology textbook covers pathways that come up again in clinical modules. Keeping every textbook in one searchable library means foundational knowledge is always accessible.

For managing the full study workflow, see Fabric for students and studying and exam prep. For managing readings and papers, see research papers. For the AI tutor, see AI tutoring.

Get started

Upload your textbook chapters and make every concept searchable. Try Fabric free.

Comparing tools? See the best AI study app and how Fabric compares to NotebookLM.

FAQs

Can I search textbooks by concept?

Yes. AI search finds sections by meaning. Describe the concept and find the relevant passage.

Can the AI explain a textbook passage using my lecturer's framing?

Yes. The AI tutor reads your textbook alongside your lectures and can bridge the two perspectives.

Can I search across multiple textbooks at once?

Yes. Upload chapters from every assigned textbook. Search finds the best treatment of a concept across all of them.

Can I annotate textbook chapters?

Yes. Annotations let you highlight and comment. Your annotations are searchable across your library.

Can the AI compare how different textbooks explain something?

Yes. Ask the AI assistant to compare treatments of the same concept across your textbooks.

Can I search textbooks alongside my lecture notes?

Yes. The search works across textbooks, lectures, readings, and notes simultaneously. One search bar for everything.

Are older textbooks still searchable?

Yes. Every textbook stays in your library. Foundational material from earlier courses remains accessible throughout your degree.

Is my data private?

Yes. Fabric uses AES-256 encryption and is CASA Tier 2 compliant. Your data is never used to train AI models.