ReviewBrewery vs Universal SLR Assistant
ReviewBrewery
reviewbrewery.appUniversal SLR Assistant
sadeghanisi.github.ioSide by side
| Figure | ReviewBrewery | Universal SLR Assistant |
|---|---|---|
| Price from | $666.67/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 | 7.5 (#25) | 8.2 (#10) |
| Deduplication | The software detects duplicate records across PubMed, Scopus, Web of Science, and Embase using fuzzy matching. | Duplicate detection combines DOI matching with fuzzy title matching and leaves final review to the researcher. |
| Purpose | ReviewBrewery is AI-powered software for systematic reviews and evidence synthesis, intended for academic and professional research use. | Universal SLR Assistant supports systematic and scoping review workflows with AI-assisted screening, extraction, and reproducible outputs. |
| Support | The site lists email support for Pro, priority support for Team, and dedicated support for Enterprise. | 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
ReviewBrewery
ReviewBrewery 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.