Anki is the best place to study textbook flashcards, but getting content from a textbook into Anki requires a deliberate workflow. The tools that work best combine a reading and annotation phase with a conversion step that turns your annotations into properly formatted Anki cards. This page covers the most efficient workflows for different reading setups.
For digital textbooks read in Kindle, Apple Books, or PDFs opened in apps like Readwise Reader, the most efficient pipeline is: highlight during reading, sync highlights to Readwise, use Readwise's Anki export to push highlights to Anki as cards. Readwise exports one card per highlight, with the highlight as the card back and the book title and location as context. You then edit card fronts to be questions rather than passive highlights. This is faster than writing cards from scratch because the content selection (what to highlight) happens naturally during reading, and the format conversion (highlight to question) is the only remaining step. Readwise costs money, but for heavy readers the workflow efficiency justifies it.
For physical textbooks, the most practical workflow is a two-pass system. First pass: read and mark key terms, definitions, and important facts with a pencil. Second pass (immediately after each chapter): convert marked content to Anki cards by typing directly into the Anki desktop editor. Keep a strict rule: only convert what you marked during reading. Do not go back through unmarked text looking for things you might have missed. This keeps the conversion session short (15 to 25 minutes per chapter) and prevents the deck inflation that comes from trying to capture everything. Cards written in your own words rather than copied verbatim from the textbook generally produce better recall because rewriting forces an initial processing step.
Anki is the best study destination for textbook cards. The workflow that works is reading with active marking, converting marks to cards immediately after each section, and writing card questions in your own words. The tools that assist this (Readwise, Obsidian, browser extensions) add efficiency but the core practice is the same regardless. Gridually's spatial encoding is based on memory research from the University of Chicago, University of Bonn, and Macquarie University.
Read actively with a highlighter or annotation tool, marking only the content you need to recall, not background context. After each section, convert highlights to cards immediately while the content is fresh. Batch-converting a whole chapter at the end of a week produces worse cards than converting each section right after reading it.
No. Textbook pages contain a mix of testable knowledge, illustrative examples, background context, and narrative. Good textbook flashcards come from about 20 to 30 percent of the text: key terms, important definitions, numbered facts, cause-and-effect relationships, and classification systems. Examples and narratives are for understanding, not for converting to cards.
Quizlet has partnerships with several major US textbook publishers and offers official card sets for supported titles. Coverage is strongest for introductory college courses in STEM, psychology, economics, and history using popular US publishers. International, specialized graduate-level, and older editions are rarely covered. Check by searching the textbook title on Quizlet before creating cards manually.