Elicit
An AI powered research assistant that helps review academic literature, extract data from papers, and build automatic comparison tables.
Elicit is an AI powered research tool built to speed up the process of reviewing scientific literature. The tool finds papers relevant to a research question, extracts key data such as methodology, sample size, and findings, and presents it all in an organized table that makes it easy to compare sources.
The tool is aimed mainly at researchers, graduate students, and professionals in scientific and medical fields who need to conduct systematic literature reviews, though business owners in health and science related industries can also use it to quickly build a knowledge base before making a decision.
Key capabilities include smart search across tens of millions of papers, automatic data extraction from each paper according to categories the user defines, and a comparative summary that makes it easy to quickly spot trends and contradictions between different studies.
In a research workflow, Elicit fits the deepest stage: after tools like Perplexity or Consensus help identify a general direction, Elicit lets you dive into the details of the studies themselves and build a systematic, data driven review.
Pros
- Automatic data extraction from papers into an organized table
- Suitable for conducting professional grade systematic literature reviews
- Ability to customize the extracted data categories for a specific need
- Saves hours of manual work reading papers one by one
Cons
- A steeper learning curve compared with simple search tools
- Focuses almost exclusively on academic and scientific content
- The most advanced extraction features require a paid subscription
Reviews
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Used it to back up a blog post with real studies instead of guesswork, and it found sources I'd never have located on my own. On a fairly niche marketing subtopic the free plan returned fewer relevant papers than I hoped.
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Great for pulling structured data out of dense academic PDFs for a market analysis I was running. It took me a couple of tries to figure out how to phrase the extraction columns correctly.
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As a nursing student writing my first literature review, the way it summarizes methodology and sample size for each study side by side made comparing studies so much less overwhelming.
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Built an extraction table across sixty papers for my systematic review in an afternoon instead of the two weeks it usually takes. My supervisor asked how I finished so fast.
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