Built upon open research from the Stanford ML Group, the system extends automated paper review with integrated AI-generated content detection—creating a unified, transparent, and research-grade evaluation platform.
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Drag & drop a PDF file or click to browse
Get deep insights with cutting-edge AI technology
Analyze methodology, arguments, references, and scientific contribution automatically.
Identify AI-generated text sections with high accuracy detection.
Get specific improvement suggestions to enhance your writing quality.
See detailed scores for methodology, structure, originality, and more.
Results in less than 24 hours. We use complex models to ensure detailed and high-quality feedback.
Identify the unique scientific contributions and potential weaknesses of your research work.
Affordable pricing for premium quality
Pay as you go
Unlimited reviews every month
Common questions about PapeReview
Reviews are generated by artificial intelligence and errors may be encountered. Since the system is grounded in arXiv data, higher accuracy is typically achieved in fields such as AI where recent research is published freely. Variations in accuracy may be observed in other disciplines.
Only English-language papers are supported at this time. While various disciplines can be processed, the highest level of performance is achieved on topics extensively covered in open-access repositories like arXiv.
This tool was designed for researchers to obtain feedback on their own work. The use of this platform in any manner that violates established peer review policies is strongly discouraged for conference reviewers.
PDFs are first converted into Markdown format and validated as academic papers. Relevant benchmarks and techniques are identified through generated search queries, which are executed via a deep search API. Metadata is then retrieved from arXiv to ensure that all provided feedback is grounded in the most recent prior research.