DistillerSR vs RobotReviewer
DistillerSR
distillersr.comRobotReviewer
robotreviewer.netSide by side
| Figure | DistillerSR | RobotReviewer |
|---|---|---|
| Price from | $7.83/mo | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 6 | 2 |
| Spec score · AI Literature Review Software | 7.9 (#16) | 8.4 (#6) |
| Integrations | The product can import references from RightFind, PubMed, and Embase and supports integrations with Oracle Safety One Intake and Oracle Argus attributes. | The self-hosted setup uses Grobid for document processing, RabbitMQ and Celery for worker processing, and SciBERT through bert-as-a-service. |
| Purpose | DistillerSR automates literature-based evidence synthesis and management for research and surveillance. | RobotReviewer automatically annotates clinical trial PDFs with PICO characteristics and likely bias assessments using the Cochrane Risk of Bias tool. |
| Support | The platform page says support is available by phone, email, or chat, while the academic plan page lists unlimited email support from 8 am to 8 pm ET. | The project directs users to an email address for questions and integration assistance. |
Plans
DistillerSR
- Student$19.95 a month
- Faculty$94 a year
- Research Project$194 a year
- Corporate & GovernmentPriced on request
- DepartmentalPriced on request
- InstitutionalPriced on request
In their own words
DistillerSR
DistillerSR has no write-up on Specifiction yet; its figures are above.
RobotReviewer
RobotReviewer analyzes clinical trial reports by annotating PDFs with PICO characteristics and likely bias assessments using the Cochrane Risk of Bias tool. Uploading PDFs on the website extracts key data and presents a summary table. Its REST API can process groups of clinical trial reports to synthesize results across trials. The project is open source under GNU GPL version 3.0 and is free to use. It can run locally as Docker services, with a web app and API server exposed on local ports. The self-hosted processing setup uses Grobid, RabbitMQ, Celery, and SciBERT through bert-as-a-service. Docker instructions cover GPU use, and the worker can also run CPU-only. Manual setup calls for Python 3.6, TensorFlow 1.12.0, and the associated processing services. Installation is documented as tested on Ubuntu and Mac OS; Windows works with substantial installation difficulty. Maintainers ask users to cite the 2017 ACL paper and invite questions by email, including requests for help integrating RobotReviewer into other software.