What is Elicit?
AI research assistant for systematic literature review. Searches a corpus of ~125 million academic papers, extracts structured data from each into a comparison table, and summarises findings across studies.
Systematic reviews and structured evidence extraction at scale.
Main features
- Semantic paper search across ~125M papers
- automatic data extraction into custom table columns
- systematic review workflow
- screening with custom inclusion criteria
- Elicit Reports
- PDF upload and extraction
- citation export
- notebook for multi-step research.
Practical use cases
- Running a systematic literature review
- screening hundreds of abstracts against inclusion criteria
- extracting sample sizes, methods and outcomes into a structured table
- finding papers on a concept rather than a keyword.
Who is it for?
- Academic researchers, PhD students, systematic reviewers, evidence-synthesis teams, pharma and biotech research, policy analysts.
Pricing, free access & limits
Freemium with credit-based extraction; per-seat team and enterprise plans
Plans described in the source
Basic free with a monthly credit allowance. Plus around $12/mo billed annually (about $15 monthly) with a larger credit pool and unlimited search. Pro around $49/mo annually for high-volume extraction and reports. Team and Enterprise priced per seat on request. Credits are consumed per paper column extracted.
Free plan
Yes - Basic free plan with unlimited search and a limited monthly credit allowance for extraction.
Free trial
Free plan serves as the trial; institutional pilots arranged through sales.
Usage limits to consider
Credit-metered: each cell of extracted data from each paper consumes credits, so a 200-paper, 8-column extraction is expensive. Free tier credits are quickly exhausted by any real review.
Confirm current plans and pricing ↗Strengths & tradeoffs
These points summarize the supplied research, rather than hands-on test results.
Strengths noted in the source
- Purpose-built for systematic review rather than generic chat
- extraction into structured tables is a real time-saver
- grounded strictly in the paper corpus so hallucination risk is lower
- transparent about which paper each claim came from.
Limitations to consider
- Corpus skews heavily toward English-language and open-access literature
- paywalled full texts often unavailable so extraction works from abstracts
- credit pricing makes large reviews costly
- extraction accuracy still requires human verification for publication-grade work.
Platforms, languages & integrations
Platforms
- Web (browser only)
Languages
- Interface English; indexed literature is predominantly English
API access
Enterprise API available on request
Integrations and exports
- Zotero, BibTeX/RIS citation export, CSV export, PDF upload
Evaluation notes
Always spot-check extracted values against the source PDF - accuracy is good but not publication-grade unverified. Budget credits against the number of papers multiplied by the number of columns, not by seats.
Explore similar tools
Other tools in AI Research Tools. Compare their specific features and limits for your task.
Frequently asked questions
What is Elicit best for?
Systematic reviews and structured evidence extraction at scale.
What free access does Elicit offer?
Yes - Basic free plan with unlimited search and a limited monthly credit allowance for extraction.
What limits should I check before using Elicit?
Credit-metered: each cell of extracted data from each paper consumes credits, so a 200-paper, 8-column extraction is expensive. Free tier credits are quickly exhausted by any real review.
Does Elicit provide an API?
Enterprise API available on request
Sources & editorial notes
Based on the directory editor’s supplied research. The source does not provide a verification date for this row. Importing a record does not independently verify every product claim.
Additional references named in the research
elicit.com/pricing; elicit.com/faq; Elicit documentation