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SPECIFICTION
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Litstream vs ReviewAid

Litstream

icf.com

ReviewAid

reviewaid.github.io

Side by side

FigureLitstreamReviewAid
Price from—Free
Free plan—Yes
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
Self-hosted—Yes
Plans published01
Spec score · Systematic Review Software6.8 (#27)8.3 (#5)
Intended usersICF says its literature review tools have been used by state and federal agencies, nonprofits, watchdogs, and private researchers.The maker says ReviewAid was built to assist researchers, especially those involved in evidence synthesis.
PurposeLitstream helps researchers collaborate on literature screening and data extraction while tracking review work across team members.ReviewAid is an open-source AI tool for full-text screening and data extraction in systematic reviews.
SupportICF offers expert support across review design and execution, including search strategies, criteria, study quality assessment, data integration, and training for collaborators.The maker pages opened did not state a support channel.

Plans

Litstream

No plans published.

Litstream pricing →

ReviewAid

  • FreeFree

ReviewAid pricing →

In their own words

Litstream

Litstream has no write-up on Specifiction yet; its figures are above.

Visit icf.com

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.

Visit reviewaid.github.io