ASReview

ASReview is a free, open-source screening tool for researchers who want AI to prioritize records while leaving decisions with a human screener. Its best fit is a flexible systematic-review workflow that can run locally or within an institution’s own environment; it is less suited to teams that need built-in full-text management or AI paper summaries.

Overview

ASReview applies active learning to screening: as a person labels records, the software helps prioritize what to assess next. The site says this can reduce screening workload by up to 95%, a potential benefit rather than a promised outcome. That makes it a useful way to focus human attention, not a replacement for screening judgment.

It supports systematic reviews, recommendations, and collaboration, and exchanges records in CSV, RIS, and XLSX. Compatibility with EndNote, PubMed, and other reference managers helps it fit into existing research workflows. Readers comparing tools can browse Literature Review Software, AI Literature Review Software, and Systematic Review Software.

Key features

Prioritization and model simulation

Researchers can simulate AI-aided reviewing to compare models and examine performance before using a workflow. ASReview describes the ELAS-Ultra, ELAS-Heavy, and language-agnostic ELAS-L model series; ELAS-Heavy and ELAS-L require the Dory package. That model choice offers flexibility, but the package requirement matters for teams planning to use those particular series.

Team screening and integrations

Crowdscreen supports parallel screening, with administrators controlling access through a private login system. A Python API, REST API, and CLI support automated workflows, while CSV, RIS, and XLSX import and export provide practical routes into and out of the tool. The combination suits research groups with technical support or established data workflows better than users seeking an all-in-one review workspace.

Privacy and support

In the default local setup, data stays on the user's computer. Server deployments keep data within the organization's environment and follow its policies, giving institutions a choice of deployment model. ASReview also describes itself as GDPR compliant, says it uses no tracking cookies, and provides security updates. Free documentation, tutorials, videos, and community discussion support are available; organizations can also arrange in-house workshops and custom consultancy.

Pricing

ASReview LAB: free. The free, open-source plan has no licensing fees or subscriptions, making it a strong fit for individual researchers, students, and teams avoiding recurring software charges. The trade-off is operational: running the software on your own hardware or server may incur costs. There is no free trial, but the plan itself is free. No paid tier is described, so organizations needing workshops or custom consultancy should account for those services separately.

The free plan includes screening workflows, systematic-review support and tools, collaboration, recommendations, and CSV, RIS, and XLSX export. It does not include AI paper summaries or full-text management. Those omissions are significant for anyone expecting one tool to handle the entire review process.

Platforms

ASReview supports API, Linux, macOS, self-hosted, web, and Windows deployments. Local and self-hosted options are particularly relevant to researchers who want data to remain on their own computer or within their institution's environment.

Who it's for

ASReview is aimed at screeners, information specialists, data scientists, developers, institutions, and students. It is strongest for people conducting systematic reviews who value human-led screening, configurable AI prioritization, and the ability to collaborate or automate workflows. Researchers who mainly need full-text organization or generated paper summaries should look elsewhere or plan a complementary tool.

Pros and cons

• Pros: Free and open source, with no licensing fees or subscriptions, lowers the software cost for individuals and institutions.
• Pros: Local and organization-controlled server deployment options let teams choose where their data resides.
• Pros: Simulation, multiple model series, APIs, and standard research-file formats support comparison and integration into established workflows.
• Cons: Hardware or server operation may still cost money, so free licensing does not mean a cost-free institutional deployment.
• Cons: The tool lacks full-text management and AI paper summaries, limiting its role as a complete review workspace.
• Cons: ELAS-Heavy and ELAS-L require the Dory package, adding a requirement for users choosing those model series.

Alternatives

Choose RevMan if its freemium plan and trial, alongside Linux, macOS, web, and Windows support, better fit your review setup. Rayyan is another freemium option, with Android, iOS, API, and web platforms; its Free plan caps use at three active reviews and two free reviewers, so it may suit a small mobile-oriented team better than an uncapped ASReview workflow.

Bibliometrix is a free, open-source R package with a Biblioshiny web interface, making it a natural alternative when that package-and-interface approach fits your work. Consider Elicit for its research agent, reports, paper search, summaries, and chat features, with a freemium model. EviSynth offers free academic access, unlimited collaborators, and no trials or subscriptions, and may appeal to academic teams looking for that arrangement.

Litmaps may suit researchers who want article mapping and collaboration options; its free plan is limited to 20 inputs, 100 articles, one Litmap, and no collaboration. ResearchRabbit offers a free web plan with unlimited searches across 310+ million articles, unlimited libraries and collections, sharing, and up to 50 seed articles, making it an option for broad discovery. Abstrackr is a free web alternative with no seat limits or usage caps.

Verdict

Choose ASReview if you need a no-license-cost, human-led systematic-review screening workflow with AI prioritization, simulation, and control over where data is stored. Its strongest reason to choose is the balance of flexible deployment and research-focused screening without subscriptions. Look elsewhere if full-text management or AI paper summaries are central to your process, or factor in the hardware and server costs of operating your own deployment.