Universal SLR Assistant

Universal SLR Assistant is ranked #5 of 38 in AI literature review software on The Geeks Club. It runs on Linux, macOS, Web, Windows. There is a free plan.

Universal SLR Assistant plans and pricing

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Free and open source Free MIT License · cloud AI provider API fees may apply sadeghanisi.github.io · 30 Sept 2026

Compared on AI literature review software

Free plan: Yes
Screening workflow: Yes
AI paper summaries: Yes
Full-text analysis: Yes
Systematic review support: Yes
Export formats: Excel (.xlsx), CSV, JSON, Markdown, plain text

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Universal SLR Assistant

Purpose: Universal SLR Assistant supports systematic and scoping review workflows with AI-assisted screening, extraction, and reproducible outputs.
Intended users: It is intended for PhD students, researchers, professors, evidence synthesis teams, and systematic or scoping review authors.
Interfaces: The project provides a desktop GUI and a browser-based local Web App.
Reference ingestion: It imports RIS, BibTeX, CSV, and plain-text reference files and supports exports from PubMed, Scopus, and Web of Science.
Deduplication: Likely duplicate references are identified using DOI matching and fuzzy title matching.
Review workflow: The workflow covers reference import, abstract screening, full-text PDF processing, structured extraction, and export.
AI providers: Provider options include OpenAI, Anthropic Claude, Google Gemini, Ollama, OpenRouter, DeepSeek, Mistral, Kimi, xAI, LM Studio, vLLM, LocalAI, and custom OpenAI-compatible endpoints.
Workspace mode: Workspace mode stores references, PDF metadata, review items, decisions, and audit events in a local SQLite workspace and separates AI suggestions from human decisions.
Exports: Workspace exports include decision CSV/XLSX files, AI and human decision logs, full-text exclusion reasons, PRISMA-ready counts, a methods disclosure draft, and a manifest.
Privacy: The Web App binds to 127.0.0.1 for local use and is not intended as a public multi-user service.
Security controls: API keys are not written to the desktop settings.json or Web App webapp_settings.json, and audit ledgers do not store API keys or full paper text.
Data transmission: Cloud providers receive submitted paper text, while Ollama or another local endpoint can keep paper text on the user's computer or local network.
Limitations: AI output is assistance only; human verification and final inclusion, exclusion, extraction, and reporting decisions remain required.
Support: The project directs users to the Complete User Guide, in-app Help panel, output logs, tests, and GitHub issues for support.
Price from: Free

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Where it ranks on The Geeks Club

Best AI Literature Review Software in 2026#5 of 38
Best Systematic Review Software in 2026#4 of 30

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Sources

github.com/sadeghanisi/SLR· checked 30 Sept 2026
sadeghanisi.github.io/SLR/· checked 30 Sept 2026