EasySLR vs Universal SLR Assistant
EasySLR
easyslr.comUniversal SLR Assistant
sadeghanisi.github.ioSide by side
| Figure | EasySLR | Universal SLR Assistant |
|---|---|---|
| Price from | $250/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 1 |
| Spec score · AI Literature Review Software | 7.9 (#17) | 8.2 (#10) |
| Intended users | EasySLR describes its mission as transforming health economics and outcomes research with AI-driven technology. | It is intended for PhD students, researchers, professors, evidence synthesis teams, and systematic or scoping review authors. |
| Purpose | EasySLR is a platform for systematic and targeted literature reviews, covering screening, extraction and reporting. | Universal SLR Assistant supports systematic and scoping review workflows with AI-assisted screening, extraction, and reproducible outputs. |
| Support | The Professional plan includes email and chat support, while Enterprise includes priority email and chat support. | The project directs users to the Complete User Guide, in-app Help panel, output logs, tests, and GitHub issues for support. |
Plans
In their own words
Universal SLR Assistant
Universal SLR Assistant supports systematic and scoping reviews with AI-assisted screening, extraction, and reproducible outputs. It provides a desktop interface and a browser-based local Web App, and imports RIS, BibTeX, CSV, and plain-text references, including exports from PubMed, Scopus, and Web of Science. Its workflow covers abstract screening, full-text PDF processing, structured extraction, and export; likely duplicates are identified by DOI and fuzzy title matching. Workspace mode stores references, PDF metadata, review items, decisions, and audit events in a local SQLite workspace, separating AI suggestions from human decisions. Exports can include decision files and logs, exclusion reasons, PRISMA-ready counts, a methods disclosure draft, and a manifest. The project supports a range of cloud and local AI providers. Cloud providers receive submitted paper text, while Ollama or another local endpoint can keep it on the user's computer or local network. AI results are assistance only: people must verify them and make final review and reporting decisions. The software is free under the MIT License; cloud AI provider API fees may apply.