No generative AI
Checks are structured and rule-based, not generated by an AI model.
A focused way to review citations, references and source details.
Ref-Check rapidly completes structured, explainable checks that reflect a manual review process, supporting accurate citation and reference assessment across education, research and industry.
Designed for review
Ref-Check is designed to make the reference trail easier to inspect. It highlights patterns, possible gaps and details that may need closer attention, while leaving interpretation and decision-making with the user.
Checks are structured and rule-based, not generated by an AI model.
Findings are presented as review prompts, not hidden or unexplained decisions.
Verification indicators help users see where source details may need checking.
Core checks and features
By clarifying the technical accuracy of citations and references, these checks help ensure that focus can remain on content quality, critical thinking and the strength of the evidence trail.
Identifies in-text citations and checks them against the reference list, highlighting missing or mismatched entries in a clear summary.
Reviews reference entries against a selected author–date style and highlights common formatting issues that may affect consistency.
Uses trusted bibliographic and metadata sources, along with URL checks, to indicate where details appear plausible or may warrant closer review.
Shows how often each source is cited, making it easier to spot patterns, clusters and anomalies that may need attention.
Provides a structured overview that can support feedback, review conversations and quality improvement processes.
Designed for clarity and ease of use, with predictable behaviour that reduces cognitive load for students, staff and reviewers.
Use Ref-Check to support structured review, clearer feedback and more confident source checking.