Artificial intelligence has changed how academic integrity is monitored. Faculty now combine classic originality checks with advanced analytics that examine style, citation
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Know Before Submitting
Our plagiarism checker scans submitted text against billions of academic sources, journals, publications, and internet content. It uses contextual and semantic comparison algorithms to detect both exact matches and paraphrased plagiarism. Each report includes matched sources, similarity percentages, and citation suggestions to support proper academic referencing.
Skyline Academic checks documents against a vast global database that includes open-access research, academic journals, student papers, institutional repositories, and millions of web pages. The detection engine is similar in scope to tools like Copyleaks, offering comprehensive coverage for academic writing and higher education submissions.
The report highlights matched or similar text, shows the source URLs, and provides a total similarity percentage. A high percentage doesn’t always indicate plagiarism—properly quoted or cited material may appear as a match. Always review context and ensure correct citation formatting before submitting your work.
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