NeuralScio includes a built-in PDF reading surface for scientific work. The important distinction is that it is part of the research workflow: open a paper, search inside it, annotate it, keep it cached locally, and hand that context into AI or writing.
Core Capabilities
Reading and navigation
- continuous reading surface
- page thumbnails and page navigation
- search inside the open PDF
- outline-aware navigation where available
Annotation workflow
The desktop reader supports a real annotation layer rather than a passive preview.
What is implemented:
- highlights
- notes
- underlines
- theme-aware reading surfaces
Workflow hand-off
The PDF surface is connected to the rest of the app:
- save papers into the library
- keep PDFs cached locally
- pass selected text into AI
- continue into citation and writing work without leaving the desktop app
Practical Boundary
The core PDF workflow is reading, annotation, cached access, and integration with the rest of the research workflow.
Offline Continuity
PDFs are a major part of NeuralScio's local-first value because cached and saved papers remain usable when the network disappears.
See Offline Mode for the actual boundary.
Related Docs
1. Read Scholarly Search for how papers enter the workflow. 2. Read AI Features for passage-level analysis. 3. Read /features/writer from the feature pages when the workflow shifts into synthesis.