SWIFT-Active Screener vs Universal SLR Assistant
SWIFT-Active Screener
sciome.comUniversal SLR Assistant
sadeghanisi.github.ioSide by side
| Figure | SWIFT-Active Screener | Universal SLR Assistant |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · AI Literature Review Software | 6.6 (#34) | 8.2 (#10) |
| Spec score · Systematic Review Software | 6.7 (#29) | 8.2 (#6) |
| Exports | Screening results can be exported in standard data formats compatible with EndNote, Mendeley, Zotaro, PubMed, HAWC, and Excel. | Workspace exports include decision CSV/XLSX files, AI and human decision logs, exclusion reasons, PRISMA-ready counts, a methods draft and a manifest. |
| Intended users | Sciome identifies government, academic, and industry groups as users of SWIFT-Active Screener. | It is intended for PhD students, researchers, professors, evidence synthesis teams, and systematic or scoping review authors. |
| Purpose | SWIFT-Active Screener is a web-based collaborative application for the document-screening phase of systematic reviews and scoping activities. | Universal SLR Assistant supports systematic and scoping review workflows with AI-assisted screening, extraction, and reproducible outputs. |
| Support | Sciome directs users to contact the SWIFT-Active Screener team by email for assistance. | 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
SWIFT-Active Screener
SWIFT-Active Screener has no write-up on Specifiction yet; its figures are above.
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.