SciSpace
Question and explain any paper inside a PDF-focused workspace
Our verdict
Excellent for students living in PDFs; researchers doing real synthesis should look at Elicit instead.
SciSpace pairs a large paper search with a PDF reader where you can ask questions about any passage and get equations, tables and jargon explained in plain language. Formerly Typeset, it leans on the student and study workflow rather than open-web research.
How we scored it
What we liked
- ✓Capable PDF chat
- ✓Huge paper database
- ✓Affordable premium
What to watch
- ✕Interface feels crowded
- ✕Weaker than Perplexity for open-web questions
Key features
- ◆PDF chat
- ◆Equation explanations
- ◆Literature review tables
- ◆Citation generator
- ◆Paraphraser
Best for
Appears in
Alternatives to SciSpace
Perplexity
AI search that answers with citations you can actually check
Perplexity searches the live web and writes an answer with every claim linked to its source, so follow-ups stay grounded in what's actually online. Pro unlocks stronger models and longer Deep Research reports, but the free tier already covers most day-to-day questions.
NotebookLM
Grounded AI notebook that answers only from your own sources
NotebookLM loads your documents, sites, videos and slides into a model that answers strictly from them, with every sentence linked back to the passage it came from. Audio Overviews turn a stack of papers into a podcast-style discussion, which is genuinely good for skimming.
Elicit
Literature-review assistant that screens papers into structured tables
Elicit reads academic papers and pulls methods, sample sizes and findings into a sortable table, which makes screening hundreds of titles for a review dramatically faster. It works on peer-reviewed corpora, so it is the wrong tool for general web questions.
Consensus
Ask a research question, get an evidence-backed yes or no
Consensus turns a question into a synthesis of what peer-reviewed studies conclude, with a consensus meter and quotes from each paper. It is built for answerable claims ('does X work?'), not open-ended exploration.