SciSpace

AI research workspace for exploring papers, chatting with PDFs, extracting information, and developing literature reviews.

Find relevant papers, inspect extracted evidence, and build a review using the underlying publications.

Access and pricing: Free entry and paid access are offered, but exact current quotas were not exposed in readable pricing content. Some agent and extraction work consumes credits.

Current pricing and recurring usage limits could not be fully confirmed. Check the provider’s latest terms before choosing a plan.

What it does well

Based on the listing, SciSpace brings paper discovery, PDF questions, data extraction and citation tools into one research workspace. You can find papers, inspect extracted evidence and build a literature review from the underlying publications.

Who gets the most from it

Students, academics and analysts who read many papers and want help pulling out methods, results and references. It suits literature reviews more than casual reading.

Getting started in 10 minutes

Start with one research question and a handful of papers you already know. Search, open two or three results, ask a narrow question of a PDF, and check each extracted claim against the passage in the paper. Then try extraction across a small set before scaling up.

Limits to check before you commit

The listing says free and paid access exist and that some agent and extraction work consumes credits. Check them before relying on it for a large review, and always read the cited paper before quoting a finding. Pricing checked on the official page in October 2026: The pricing page lists Premium at $20 a month ($12 a month billed annually, 1,200 monthly credits), Advanced at $90 ($70 annually) and Max at $200 ($160 annually), with a 24-hour money-back guarantee. It does not list a free plan, so check what signing up gives you before relying on free access.