LASER AI vs ReviewAid
LASER AI
laser.aiReviewAid
reviewaid.github.ioSide by side
| Figure | LASER AI | ReviewAid |
|---|---|---|
| Price from | $250/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 3 | 1 |
| Spec score · Systematic Review Software | 8.7 (#2) | 8.3 (#5) |
| Exports | Documented outputs include PRISMA flow diagrams, extraction exports, flexible extraction analysis and report export. | Screening and extraction results can be downloaded as CSV, XLSX, or DOCX. |
| Intended users | The maker presents plans for research teams, clinical research organizations, and companies. | The maker says ReviewAid was built to assist researchers, especially those involved in evidence synthesis. |
| Purpose | LASER AI is an AI-supported platform for accelerating literature reviews and evidence synthesis. | ReviewAid is an open-source AI tool for full-text screening and data extraction in systematic reviews. |
| Support | GetApp lists email/help desk, phone support, knowledge base and FAQ/forum support, plus live online, webinar, documentation and video training. | The maker pages opened did not state a support channel. |
Plans
LASER AI
- Per project$3,000, paid once
- Per user$3,000 a year
- EnterprisePriced on request
In their own words
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.