ASReview vs ReviewAid
ASReview
asreview.nlReviewAid
reviewaid.github.ioSide by side
| Figure | ASReview | ReviewAid |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Systematic Review Software | 9.1 (#1) | 8.3 (#5) |
| Intended users | The site presents ASReview for screeners, information specialists, data scientists, developers, institutions, and students. | The maker says ReviewAid was built to assist researchers, especially those involved in evidence synthesis. |
| License | The ASReview software repository is released under the Apache License 2.0. | ReviewAid is licensed under Apache 2.0. |
| Privacy | The site says the default local setup keeps data on the user's computer; server deployments keep data within the user's environment and apply that organization's policies. | The maker says API keys are not stored, and paper text is sent only to the selected provider; with Ollama, the text stays on the local machine. |
| Purpose | ASReview uses AI-aided active learning to prioritize records for systematic review screening while keeping a human screener in the decision loop. | ReviewAid is an open-source AI tool for full-text screening and data extraction in systematic reviews. |
| Support | The site offers free online documentation, tutorials, videos, and community discussion support, and describes in-house workshops and custom consultancy for organizations. | The maker pages opened did not state a support channel. |
Plans
In their own words
ASReview
ASReview is a free, open-source tool that uses AI-aided active learning to prioritize records for systematic review screening, with a human making screening decisions. Its site says the approach can reduce screening workload by up to 95%. Users can simulate AI-aided review to compare models, while Crowdscreen supports parallel screening with access managed by administrators through a private login system. The described model families are ELAS-Ultra, ELAS-Heavy, and language-agnostic ELAS-L; ELAS-Heavy and ELAS-L require the Dory package. ASReview works with reference managers including EndNote and PubMed, and imports and exports CSV, RIS, and XLSX files. Documentation includes a Python API, while the institutional workflow also describes a REST API and CLI for automation. In a local setup, data stays on the user's computer; server deployments keep it in the organization's environment and follow its policies. Support includes documentation, tutorials, videos, community discussion, and organizational workshops and consultancy. ASReview LAB costs nothing with no licensing fees or subscriptions, though running hardware or a server may incur costs.
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.