Universal SLR Assistant review
A free, provider-flexible review workspace for solo researchers who want local control.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
For researchers conducting systematic or scoping reviews, Universal SLR Assistant combines reference management, AI-assisted screening, and structured extraction in an open-source desktop and local browser application. Its workflow covers title and abstract screening followed by full-text PDF processing, with configurable fields for extracting review data. Persistent local workspaces retain references, PDFs, AI suggestions, human decisions, and audit events, making the tool a fit for solo reviewers who want local control and flexibility in choosing AI providers.
The AI workflow is broad enough to cover distinct review stages rather than only summarizing papers. It ingests RIS, BibTeX, CSV, and plain text, identifies duplicates using DOI and fuzzy-title matching, and supports human-reviewed decisions for screening and extraction. Exports include PRISMA-ready counts and workspace reporting files, along with Excel (.xlsx), CSV, JSON, Markdown, and plain text. JSON cache and JSONL audit ledger options provide additional ways to retain review records. Researchers should still verify AI suggestions rather than treating them as final screening or extraction decisions.
The application is free and MIT-licensed, and can run as desktop software or be self-hosted. Provider options span OpenAI, Claude, Gemini, local tools such as Ollama and LM Studio, and custom OpenAI-compatible endpoints; cloud services may charge their own API fees. Documentation and community are the listed support channels, and collaboration features are not verified. This makes Universal SLR Assistant a stronger fit for individual reviewers comfortable managing a local workflow than for teams seeking confirmed collaborative review features or dedicated support. Choose it for control over storage and provider choice; consider alternatives if shared team workflows are central.
Universal SLR Assistant pros and cons
- Where it wins
- Imports RIS, BibTeX, CSV, and plain-text references with duplicate detection
- Supports two-stage screening and configurable extraction from full-text PDFs
- Keeps decisions and audit records in local workspaces; exports PRISMA-ready counts
- Where it doesn't
- AI screening and extraction suggestions require human verification
- Cloud AI providers may charge separate API fees
- Support is through documentation and community
Universal SLR Assistant fact sheet, pricing and score →
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