What is Rayyan?
Rayyan is an AI-assisted platform that streamlines systematic reviews and large literature reviews for research teams worldwide. It supports the full review workflow, from importing references and deduplicating them to title and abstract screening, full-text review, data extraction, risk-of-bias assessment, and publication-ready PRISMA reporting.
The platform serves academic researchers, evidence-synthesis specialists, biopharma and health-economics professionals, and graduate students conducting rigorous reviews.
Key features include ResearchPilot for AI-driven search, screening, and data extraction, a systematic auto-resolver that can deduplicate very large reference sets, risk-of-bias tools, a collaborative workbench for managing teams and workflow, structured data extraction fields, the PICO framework for study evaluation, a mobile app with offline screening, and API access for integration.
Use cases include accelerating relevance screening across thousands of citations, coordinating blinded multi-reviewer teams, and producing transparent PRISMA flow diagrams for publication. Strengths include massive global adoption across institutions, strong collaboration support, and AI relevance predictions that reduce manual screening time.
Limitations are that systematic review methodology itself has a learning curve for newcomers who are unfamiliar with PRISMA workflows, and the most advanced AI screening and enterprise features sit on premium tiers rather than the free plan.
AI relevance predictions should also be treated as decision support, with human reviewers still making the final inclusion calls to preserve rigor. As a long-established tool in evidence synthesis, Rayyan benefits from a large community and extensive documentation that ease onboarding.
Rayyan offers a freemium model that is free for basic use with premium tiers for power users and teams. Pricing changes often, so check the official site for current plans.
Key features of Rayyan
- AI relevance prediction for screening
- Large-scale automatic deduplication
- Collaborative multi-reviewer workbench
- Risk-of-bias assessment tools
- Structured data extraction
- PRISMA reporting and mobile screening
Rayyan pros and cons
| Pros | Cons |
|---|---|
| Massive adoption across research institutions | Systematic review methods have a learning curve |
| Strong collaboration and blinding support | Advanced AI features require premium tiers |
| Speeds up screening of large citation sets | — |
Rayyan pricing
Rayyan uses a freemium model: a free plan to get started, plus paid plans that unlock higher limits and advanced features. Pricing changes often, so check the official site for the latest plans and any free trial before you buy.
Who is Rayyan for?
Rayyan is best suited for ai-assisted screening for systematic literature reviews. Whether you are trying this kind of education & research tool for the first time or use one every day, it is a credible option to shortlist — compare it with the alternatives and head-to-head comparisons linked on this page to find the best fit for your workflow and budget.
Rayyan at a glance
| Detail | Summary |
|---|---|
| Category | Education & Research |
| Pricing model | Freemium |
| Free option | Yes |
| Best for | AI-assisted screening for systematic literature reviews |
| User rating | Not yet rated |
