Guide
Use a better workflow for charts, diagrams, scanned slides, and pages where text extraction alone is not enough.
Slides with diagrams, screenshots, handwritten annotations, or scanned pages often break traditional PDF study workflows because plain text extraction misses what actually matters.
Students then either ignore the page or open a separate AI chat with no shared context.
Keep the page in view, capture a short note about what the visual is trying to show, and use AI explanations only for the unclear part of the image or logic.
This is where image-aware and OCR-aware processing paths become especially useful, because they help recover meaning from slides that are not text-friendly.
This guide is most relevant for science, engineering, medicine, economics, and business lectures where charts and diagrams do a lot of the teaching work.
If your weak points cluster around visually dense pages, a page-aware review setup usually works better than generic PDF summarization.
Keep exploring the workflows and guides that fit the way you review lecture materials.
Feature page
Generate page-level explanations for lecture slides when the professor moves too fast or the material gets dense.
Use-case page
Turn static lecture PDFs into an active study workflow with notes and page-level AI help.
Guide
A practical guide to reading, annotating, and reviewing lecture PDFs without creating a fragmented study process.