ASReview vs EvidenceGrid AI
ASReview
asreview.nlEvidenceGrid AI
evidencegrid.appSide by side
| Figure | ASReview | EvidenceGrid AI |
|---|---|---|
| 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 | 2 | 1 |
| Spec score · AI Literature Review Software | 9.0 (#1) | 7.5 (#24) |
| Intended users | The site presents ASReview for screeners, information specialists, data scientists, developers, institutions, and students. | The product is presented as a tool for research teams conducting systematic literature reviews. |
| Purpose | ASReview uses AI-aided active learning to prioritize records for systematic review screening while keeping a human screener in the decision loop. | EvidenceGrid AI automates paper screening, data extraction, and conflict resolution for systematic reviews. |
| Screening | The site says ASReview can reduce the screening workload by up to 95%. | AI pre-screens papers against review criteria and flags borderline cases for human review. |
| Support | The site offers free online documentation, tutorials, videos, and community discussion support, and describes in-house workshops and custom consultancy for organizations. | The feedback page lets users send a message for support and directs suspended account holders to its Contact tab. |
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.
EvidenceGrid AI
EvidenceGrid AI is a web platform for research teams conducting systematic literature reviews. It automates paper screening, data extraction, and conflict resolution. Searches run across PubMed, OpenAlex, arXiv, Europe PMC, and CORE at the same time. AI pre-screens papers against review criteria and flags borderline cases for human review, while kappa scores are calculated during screening. Reviewers can upload PDFs or fetch open-access versions, then annotate them in the built-in reader. Teams define custom extraction fields; AI finds values in full text for approval or editing. Decisions are timestamped and attributed, and exports include approval audit trails. Evidence grids export to Excel, CSV, or structured JSON with PRISMA flow counts. Co-reviewers can receive role-based access and shared annotations. The workflow guide says it aligns with PRISMA 2020 and Cochrane standards. The Free plan costs nothing, includes 10 papers and 3 AI extractions, and requires no credit card.