Rayyan is an AI-powered collaboration platform for systematic reviews and research methods, primarily aimed at researchers, academic teams, and institutions that need to conduct systematic reviews, evidence synthesis, and literature screening. Its official positioning is as "the world's #1 systematic review platform," and it claims to be the most widely adopted evidence synthesis platform in active research.
In terms of purpose, Rayyan covers the complete workflow of a systematic review: from importing and organizing references, merging sources, and building a literature library, to inviting collaborators, sharing access, detecting and removing duplicate references, and then title and abstract screening, full-text screening, conflict resolution, data extraction, risk of bias assessment, and generating PRISMA flow diagrams and preparing publication-ready outputs.
Main capabilities include:
- Automated screening, deduplication, and PICO extraction;
- One-stop workflow: import and organize, invite collaborators, deduplicate, title and abstract screening, full-text screening, data extraction, risk of bias assessment, generate PRISMA flow diagrams;
- Traceability: every decision at each step is traceable, ensuring the review is defensible and can withstand scrutiny;
- Reproducibility: structured workflow, automatically generated PRISMA diagrams, and a complete audit trail make it easy to reproduce and verify results;
- Scalability: can handle from thousands to millions of references;
- Accelerated screening and review: AI-assisted prioritization, mobile app, and high-throughput workflows;
- User experience: a researcher-first intuitive interface;
- System Auto-Resolver: one-click deduplication of up to 200,000 references using your own protocol;
- Mobile and offline use: turn fragmented time into effective working time;
- Programmable hotkeys: complete tasks faster via the keyboard;
- ResearchPilot: AI features such as zero-shot relevance scoring, AI Analyzer, AI Reviewer, and Auto-Extract Data, which the official materials say can increase speed by an order of magnitude;
- Collaborative screening: create random subsets, allocate workload, and coordinate review teams.
In terms of usage, the platform offers a free trial, and basic use is free forever with no credit card required. Users can upload references, merge sources and structure the literature library, invite team members to join and enable shared access, use automatic deduplication, conduct title and abstract screening, full-text screening, data extraction, and bias assessment, and ultimately generate PRISMA flow diagrams and prepare publication-ready outputs. The mobile app and offline mode support working anytime and anywhere, and programmable hotkeys can improve operational efficiency.
The applicable scenarios are mainly systematic reviews, evidence synthesis, academic research collaboration, and research projects requiring large-scale literature screening and deduplication. Official cited cases say that one team that previously needed two months just for screening completed it in three weeks after using Rayyan, and discovered studies that might have been missed manually; researchers at institutions such as the University of Toronto said the tool greatly saves time and has become essential infrastructure for their systematic review work.
In terms of limitations, the materials do not provide specific pricing, detailed technical principles of each functional module, accuracy data, a list of supported literature formats, details of data storage and privacy policies, or the scope of language support. The official information only states that basic use is free forever, and does not explain the paid status of advanced features. Users should refer to the actual information on the official website.
