Blind Review Sanitizerv0.1.0

Researchers preparing manuscripts for double-blind peer review at journals like Nature or Science. The skill automates removal of author names, affiliations, and acknowledgments to ensure compliance with anonymity requirements, saving time and reducing human error in the submission process.

Authors submitting to AI or medical conferences such as NeurIPS or ICML with strict anonymization policies. It processes DOCX or Markdown files to redact identifying information and self-citations, helping meet submission deadlines while preserving document structure for review.

Teams working on multi-author papers where some contributors need anonymity for specific submissions. The skill sanitizes shared drafts by removing selected author details and generating audit logs, facilitating seamless collaboration across institutions without breaching review guidelines.

Scholars creating public preprints on platforms like arXiv while maintaining citation integrity for future journal submissions. It anonymizes sensitive content like affiliations and acknowledgments, allowing open sharing without compromising double-blind review eligibility.

Institutions preparing grant applications that require anonymized sections to prevent bias in evaluation. The skill redacts author and institutional identifiers from proposal documents, ensuring adherence to funding agency policies like those in biomedical or social science grants.

Offer a cloud-based platform with tiered pricing for individual researchers, labs, or universities. Revenue comes from monthly or annual subscriptions, including features like batch processing, advanced detection rules, and priority support for high-volume academic clients.

Sell annual licenses to publishers, research institutions, or conference organizers for integration into their submission systems. Revenue is generated through upfront fees and maintenance contracts, with customization options for specific anonymization standards and workflow automation.

Provide a free basic version for individual use with limited features, such as processing small files. Revenue comes from premium add-ons like multi-format support, audit trail exports, and API access for developers, targeting academic users and small research teams.