As a researcher, I spend hours reading through 50-page PDFs. I need an AI tool that doesn't just "summarize" but allows me to chat with the document and find specific data points across multiple files. Is there a "best-in-class" browser extension for this in 2025?
3 answers
For deep research, the Sigma AI Browser and Arc Search have been game-changers this year. Sigma is particularly powerful because it has a "Sidekick" feature that stays with you across tabs, remembering context from the PDF you read 10 minutes ago while you're currently on a news site. If you need to "Chat with PDF" specifically, NotebookLM from Google is currently the superior tool for multi-document analysis. You can upload up to 50 sources and ask, "What are the conflicting views on X across these documents?" It provides citations for every claim, which is vital for maintaining academic integrity.
Does NotebookLM work well with handwritten notes that have been scanned into PDFs? I have a lot of old field research that I’m trying to digitize and index using AI.
I personally use Perplexity's file upload feature. It’s great because it can search the live web to "fact-check" or update the data inside your old PDFs in real-time.
Craig, that’s a solid point. Combining internal document data with live web search is the only way to ensure your research isn't outdated by the time you publish.
effrey, it depends on the legibility, but Google's OCR (Optical Character Recognition) is top-tier. I suggest running your scans through Adobe Acrobat's AI first to "clean" the text, then importing it into NotebookLM. This two-step process has allowed me to index nearly 500 pages of messy lab notes from 2023 with about 90% accuracy in the searchable index. It’s a massive time-saver compared to manual tagging.