Rayyan
AI-assisted systematic review platform for screening, deduplicating, and extracting data from large literature corpora.
In short
Rayyan is a cloud platform purpose-built for systematic and literature reviews, handling the full pipeline from deduplication to PRISMA-compliant screening. It is best for researchers and teams needing AI-assisted prioritization and structured data extraction for evidence-based studies.
Pick Rayyan if you are running a formal systematic or scoping review and need PRISMA-compliant screening with team workflows and AI-assisted prioritization.
Skip it if you want a general-purpose chat-with-your-PDFs RAG tool or a self-hosted, open-source alternative.
Rayyan is a cloud platform built specifically for systematic and literature reviews, the kind of multi-thousand-paper screening exercises that dominate evidence-based medicine, health policy, and meta-analytic research. It handles the full pipeline: importing references, deduplicating up to 200,000 records, title/abstract screening with AI prioritization, full-text eligibility checks, structured data extraction, risk-of-bias assessment, and auto-generated PRISMA flow diagrams. A mobile app supports offline screening, and team workflows include role assignment and workload sampling for blinded multi-reviewer projects.
The differentiator is domain specificity. Rayyan isn't a generic RAG tool repurposed for academia, it was purpose-built with the Cochrane/Campbell systematic-review crowd in mind and now claims over a million researchers across 20,000+ institutions. The newer ResearchPilot tier adds zero-shot relevance ratings, an AI Analyzer, an AI Reviewer, and Auto-Extract Data, pushing into territory that historically required a graduate student-month of manual labor. Pricing is freemium: a permanent free tier for individual basic use, with enterprise plans for institutions and pharma/biotech sponsors negotiated via sales.
An API exists for programmatic integration, useful for institutional librarians wiring Rayyan into wider research-ops stacks. The product is proprietary SaaS, not open source, and its AI assist is screening-oriented rather than a general-purpose retrieval interface, so teams looking for a build-your-own RAG over papers will find this opinionated.
Rayyan is the default for serious systematic reviewers for a reason: deep domain fit, large-scale dedup, and an AI assist that actually targets the bottleneck (title/abstract screening). The ResearchPilot additions push it toward genuine automation, though institutions should price the enterprise tier before committing.
— The AI Tool Bible editorial team
Pros
- ✅ Purpose-built for systematic reviews, not retrofitted from a generic tool
- ✅ Handles up to 200,000 references with robust deduplication
- ✅ AI prioritization meaningfully cuts manual screening time
- ✅ Free tier is genuinely usable for solo researchers
- ✅ Mobile + offline support is rare in this category
Cons
- ⚠️ Proprietary SaaS with no self-hosted option
- ⚠️ Enterprise pricing opaque, requires sales contact
- ⚠️ AI features are workflow-bound, not a general RAG interface
Use cases
Frequently asked
- What is Rayyan best used for?
- Rayyan is best for running formal systematic or scoping reviews. It supports multi-thousand-paper screening exercises, deduplication of up to 200,000 records, and structured data extraction for meta-analytic research.
- Does Rayyan offer a free plan?
- Yes, Rayyan offers a freemium model with a permanent free tier for basic individual use. Enterprise custom pricing is available for institutions and sponsors, negotiated via sales.
- Can I use Rayyan offline or on mobile?
- Yes, Rayyan provides a mobile app that supports offline screening. This allows reviewers to continue work without an internet connection, which is noted as rare in this category.
- Is Rayyan an open-source tool?
- No, Rayyan is proprietary SaaS and is not open source. It does not offer a self-hosted option, though it does provide an API for programmatic integration.
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