AI for academic review.

BibFox is an academic AI platform primarily built for review-heavy work: student thesis grading, checking references, peer review, and stress-testing your own drafts. Our mission is to beat busywork and help you reclaim academic focus. We are currently working on our review AI (get early access). Until then, you can already use our reference verification tool.

BibFox is made for academics with review workload: PhD candidates, postdocs, professors, reviewers, instructors, and research teams. If you spend time grading, peer reviewing, checking citations, writing feedback, or reviewing your own drafts before submission, BibFox is specifically built for that kind of work.

Today, BibFox automatically reviews and verifies whole reference lists for you. In the future, we will cover AI-assisted peer-review, student thesis review, and automated review of your own work. Feel free to join our waitlist for early access.

General AI tools are broad; BibFox is purpose-built for academic review. It focuses on citation quality, review workflows, manuscript feedback, and research-specific trust concerns such as copyrights to unpublished work, source traceability, and reviewer control. Many reviewers switch between systems and use AI chats selectively, rewriting prompts and context every time. BibFox provides workflows without friction and with maximum impact: the manuscript, your own comments and AI all in one place.

BibFox separates the reference section from the manuscript, normalizes the citations, and checks them against a large corpus of scholarly sources and the web. The workflow is described in more detail here, where you can also try the tool directly.

BibFox is designed to catch hallucinated or non-existent references, mismatched metadata, withdrawn or questionable sources, incomplete fields, and citation details that do not line up with the most likely underlying publication. It helps you focus attention where a manual check is actually needed.

Yes. BibFox is designed to support review of written academic texts across several contexts: formal peer review, critical self-review before submission, and student thesis evaluation. The common pattern is the same: reduce repetitive review work while keeping the human reviewer in charge. Join our waitlist now and claim early access.

Yes. BibFox treats AI comments as assistance, not final judgment. You can accept, reject, or revise suggested comments before they become part of your review, which makes the system useful for both rigorous peer review and instructor feedback.

BibFox is built around academic privacy and manuscript protection. Uploaded papers are handled by BibFox's own processes only, including a dedicated LLM hosted on EU-servers. For more details, visit our privacy policy. For reference list review specifically, BibFox needs to call external APIs for verification. Before that, BibFox separates the reference list from the main text, so the manuscript itself is not exposed to external providers.

Yes. New users get trial capacity automatically, so you can test BibFox before moving to a paid plan. If you need more volume or want to compare subscription options, see Pricing.