Abstrackr vs ReviewAid
Abstrackr
abstrackr.comReviewAid
reviewaid.github.ioSide by side
| Figure | Abstrackr | 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 | 8.0 (#9) | 8.3 (#5) |
| Exports | Users can export CSV or RIS files and download a full JSONL export for querying with DuckDB. | Screening and extraction results can be downloaded as CSV, XLSX, or DOCX. |
| Intended users | The site describes Abstrackr as serving researchers, librarians, and review teams conducting systematic reviews. | The maker says ReviewAid was built to assist researchers, especially those involved in evidence synthesis. |
| Purpose | Abstrackr is a citation-screening tool for systematic reviews. | ReviewAid is an open-source AI tool for full-text screening and data extraction in systematic reviews. |
| Support | The site directs users to its community forum for methodology questions and workflow discussions. | The maker pages opened did not state a support channel. |
Plans
In their own words
Abstrackr
Abstrackr is a free web tool for screening citations in systematic reviews. It supports solo work, blinded team screening, pilot rounds, and conflict resolution. After about 100 labels, machine learning ranks remaining citations by predicted relevance. A live PRISMA flow table records screening thresholds, resolved conflicts, exclusion reasons by tag, and analysis of the model’s stop point. Citations can be imported from PubMed, Scopus, or Embase, or uploaded as RIS and CSV files. The service deduplicates records by DOI and PMID and can merge remaining near-duplicates. Results export as CSV or RIS, with a full JSONL download for DuckDB queries. Blinding starts enabled, and changes are logged with user, reason, timestamp, and project snapshots. Member and Leader roles have no stated team-size limit, while reminders arrive 7, 4, and 1 day before deadlines. No installation is needed, and the site directs methodology questions to its community forum.
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.