AI content detection
Flags text likely generated by ChatGPT, Gemini, Llama and other large language models, with the vendor claiming a false-positive rate under 0.5%.
Plagiarism detection
Compares submissions against extensive reference sources and the web to surface unoriginal passages and improper citation.
Text and image similarity
Goes beyond prose to check figures, graphics and other images for similarity, which suits publishers and research reviewers.
Tiered product line
Advacheck.Basic, Advacheck.Expert, Advacheck.Edu and a standalone Plagiarism Detector let institutions pick the depth of analysis they need.
Education platform integration
Certified Moodle partnership brings checking into a widely used learning management system, with reporting aimed at instructors and administrators.
Advacheck is an academic integrity toolkit built around two core engines: a plagiarism detector that compares submitted documents against reference collections and web sources, and an AI detector that estimates how much of a text was machine generated. The AI detector is trained to recognise output from a long list of large language models, including ChatGPT, Gemini, Llama and others, and the vendor states a false-positive rate below 0.5% — a figure that matters most to the students and researchers who would otherwise be wrongly accused.
The product line is split into tiers rather than one generic checker. Advacheck.Basic is the entry-level AI detection option, Advacheck.Expert extends the analysis, and Advacheck.Edu is packaged for educational institutions that need classroom-scale checking and reporting. Alongside those sits the standalone Plagiarism Detector, which supports similarity checks on both text and images — useful for publishers reviewing figures and graphics as well as manuscripts.
The company has been working on language models and text analysis since 1997 and now positions itself as a partner for the higher-education sector, with integrations such as its certified Moodle partnership. Pricing is handled through the sales team, so institutions typically request a quote rather than buy off a public price list. The broader pitch is that original, human-written content protects both academic credibility and search visibility.
