Silvi vs Universal SLR Assistant
Silvi
silvi.aiUniversal SLR Assistant
sadeghanisi.github.ioSide by side
| Figure | Silvi | Universal SLR Assistant |
|---|---|---|
| Price from | €19/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 8 | 1 |
| Spec score · AI Literature Review Software | 7.7 (#22) | 8.2 (#10) |
| Spec score · Systematic Review Software | 7.7 (#23) | 8.2 (#6) |
| Intended users | Silvi describes its Evidence Libraries as structured, searchable evidence bases tailored to an organization’s field and questions. | It is intended for PhD students, researchers, professors, evidence synthesis teams, and systematic or scoping review authors. |
| Purpose | Silvi helps users turn scientific literature into rigorous, transparent evidence. | Universal SLR Assistant supports systematic and scoping review workflows with AI-assisted screening, extraction, and reproducible outputs. |
| Support | Silvi provides help documentation and lists [email protected] for user support and questions. | The project directs users to the Complete User Guide, in-app Help panel, output logs, tests, and GitHub issues for support. |
Plans
Silvi
- BasicFree
- Rapid€19 a month
- Rapid€228 a year
- Plus€59 a month
- Plus€708 a year
- EnterprisePriced on request
- BasicPrice not published
- RapidPriced on request
In their own words
Silvi
Silvi is a web tool for organizing scientific literature into structured evidence. Its review workflow covers collecting studies, screening them, extracting data and analyzing results, including systematic reviews, meta-analyses and network meta-analyses. Reviewers can include or exclude studies individually or in bulk, with AI screening suggestions available. Data extraction can use PDF text highlights, which Silvi stores alongside the extracted information, or AI; users can check and correct AI results. Extracted data can be organized in tables, plotted and exported. Teams can assign tasks, require multiple reviewers and blind decisions. Silvi lists imports from PubMed, OpenAlex, Web of Science, ERIC, Zotero, Mendeley and EndNote. Its Web of Science RIS workflow allows up to 1,000 records per export. Open-access papers can be retrieved automatically; paywalled papers must be obtained through a university library. Plans include a free option and paid options from €19/mo.
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.