Parsifal vs ReviewAid
Parsifal
parsifal.com.brReviewAid
reviewaid.github.ioSide by side
| Figure | Parsifal | ReviewAid |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Systematic Review Software | 7.9 (#15) | 8.3 (#5) |
| Exports | Users can export review data to Excel or CSV and papers to Word, LaTeX, or PDF. | Screening and extraction results can be downloaded as CSV, XLSX, or DOCX. |
| Intended users | Parsifal is aimed at postgraduate researchers, professors, and research teams, with use cases including software engineering, health, and education. | The maker says ReviewAid was built to assist researchers, especially those involved in evidence synthesis. |
| Purpose | Parsifal is a web platform for planning, conducting, and reporting systematic literature reviews using the Kitchenham and Charters methodology. | ReviewAid is an open-source AI tool for full-text screening and data extraction in systematic reviews. |
| Support | The site provides a support link and a link for reporting problems. | The maker pages opened did not state a support channel. |
Plans
In their own words
Parsifal
Parsifal is a web tool for planning, conducting and reporting systematic literature reviews. Its planning process covers objectives, PICOC, research questions, keywords, search strings, selection criteria, quality questions and data extraction forms. Researchers can import BibTeX records from Scopus, Web of Science, IEEE, ACM and PubMed, or use API imports. The platform supports article screening against inclusion and exclusion criteria, duplicate detection, quality assessment and snowballing through references and citations. Review owners can invite co-authors to edit protocols, screen articles and generate content, or share a public read-only link. Parsifal can create PRISMA diagrams and export review data to Excel or CSV, with papers in Word, LaTeX or PDF. It lists more than 45 community templates across 12 domains and 6 languages, and connections to services including ASReview, OpenAlex and Semantic Scholar. Its optional AI assistant can help with screening, assessment, extraction and paper sections, but requires the user's Anthropic or OpenAI API key; AI usage is billed directly by the AI provider. Imported articles, screening decisions and extraction data are stored in the user's account database.
ReviewAid
ReviewAid is a free, open-source AI tool for full-text screening and data extraction in systematic reviews. Researchers can provide PICO inclusion and exclusion criteria for classifying papers, then define which fields they want extracted. The tool reports confidence scores and marks low-confidence results for manual review. Downloads are available as CSV, XLSX, or DOCX. ReviewAid supports OpenAI, Anthropic, DeepSeek, Cohere, Z.ai, and local Ollama. When a cloud provider is selected, paper text is sent to that provider for the run; with Ollama, inference takes place on the local machine and the text remains there. The maker says API keys are not stored. Users can work in a browser-based Streamlit app or install locally with Python 3.12 or later and Streamlit on Windows, macOS, or Linux. Hosted sessions may take about 30 seconds to initialize. Submission guidance caps full-text screening at 10 articles and extraction at 20 per submission. ReviewAid is licensed under Apache 2.0 and is described as a supplementary reviewer, not a substitute for manual screening or extraction.