Evidentum vs Universal SLR Assistant
Evidentum
evidentum.appUniversal SLR Assistant
sadeghanisi.github.ioSide by side
| Figure | Evidentum | Universal SLR Assistant |
|---|---|---|
| Price from | Free | 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 | 1 | 1 |
| Spec score · AI Literature Review Software | 7.7 (#21) | 8.2 (#10) |
| AI providers | AI appraisal supports API keys from OpenAI, Anthropic, Google Gemini, and xAI Grok, and usage is billed to the user's key. | Provider options include OpenAI, Anthropic Claude, Google Gemini, Ollama, OpenRouter, DeepSeek, Mistral, Kimi, xAI, LM Studio, vLLM, LocalAI, and custom OpenAI-compatible endpoints. |
| Privacy | The app says it has no Evidentum server and stores projects, screening decisions, notes, and API keys in the local browser. | The Web App binds to 127.0.0.1 for local use and is not intended as a public multi-user service. |
| Purpose | Evidentum is an AI-powered systematic literature review workbench for searching, screening, and appraising research. | Universal SLR Assistant supports systematic and scoping review workflows with AI-assisted screening, extraction, and reproducible outputs. |
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.