JBI SUMARI vs Universal SLR Assistant
JBI SUMARI
sumari.jbi.globalUniversal SLR Assistant
sadeghanisi.github.ioSide by side
| Figure | JBI SUMARI | Universal SLR Assistant |
|---|---|---|
| Price from | $10.83/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 | 2 | 1 |
| Spec score · Systematic Review Software | 8.0 (#12) | 8.2 (#6) |
| Purpose | JBI SUMARI is a web application for conducting systematic reviews of literature, from protocol development through reporting. | Universal SLR Assistant supports systematic and scoping review workflows with AI-assisted screening, extraction, and reproducible outputs. |
| Review types | It supports ten review types, including effectiveness, qualitative, economic evaluation, prevalence or incidence, mixed methods, umbrella or overview, diagnostic accuracy, and scoping reviews. | The software supports systematic and scoping review workflows. |
| Review workflow | Its workflow covers team management, study selection, critical appraisal, data extraction, data synthesis, and review report writing. | The workflow covers reference import, abstract screening, full-text PDF processing, structured extraction, and export. |
| Support | Users can access a SUMARI knowledge base and contact the JBI support desk; organizational subscribers are directed to their appropriate support contact. | The project directs users to the Complete User Guide, in-app Help panel, output logs, tests, and GitHub issues for support. |
Plans
JBI SUMARI
- Individual subscription$130 a year
- Organization subscriptionPriced on request
In their own words
JBI SUMARI
JBI SUMARI 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.