Perplexity vs ReadingScan

Executes multi-step iterative web and document research across hundreds of sources, cross-checking facts and generating structured, citation-backed analytical reports that can be exported as PDFs or shared as interactive Perplexity Pages.

Lets Pro and Max subscribers switch dynamically between Perplexity's in-house Sonar models and top external models (including Claude 4, o3-pro, and Gemini) or compare multi-model reasoning outputs side by side.

Provides dedicated project workspaces where users upload local PDFs, spreadsheets, and text files, configure custom assistant instructions, and run queries that combine private document retrieval with live internet search.

Extends Perplexity from passive Q&A into agentic execution, turning high-level user requests into completed workflows, multi-tab browser actions, and automated data synthesis via the Comet ecosystem.

Written findings come back as everyday sentences — for example a meniscus tear becomes 'a small tear at the back of the cushion on the inner side of your knee' — with unfamiliar terms collected in a glossary.

Every finding carries a signal such as no concern or worth monitoring, so you know what to raise at your next appointment and what is likely routine.

The report opens with the worry you typed in before uploading, answers it directly, then lists what the radiologist looked for and ruled out, such as an intact ACL or no fracture.

Question lists are generated from your actual findings rather than a generic checklist, and a follow-up chat already has your report open so nothing needs to be pasted in.