Plagiarism Detection

While our system is highly accurate, limitations include: Rare cases in less-common languages   Handwritten or image-based text without OCR conversion   Extremely short or overly long submissions affecting accuracy

Yes. Our system goes beyond word-for-word matches, detecting paraphrased plagiarism and spun content designed to avoid detection.

Our database is constantly updated, ensuring your work is checked against the latest online sources, journals, and previously submitted student assignments.

Yes. We prioritize data privacy and security. Your documents are not shared or reused, and they can be permanently deleted upon request. We comply with GDPR and international data standards.

Results are displayed in a Similarity Report showing: Overall similarity percentage   Color-coded categories (Identical, Minor Changes, Paraphrased)   Highlighted sections with matching sources You can also download a PDF report for record-keeping or submission.

Your work is compared with: Billions of web pages and online sources   Academic journals and research publications   Student papers stored in secure databases   This ensures a comprehensive plagiarism scan beyond just Google results.

We support common academic file types: Word (.doc/.docx), PDF, PowerPoint, plain text, and code files. Essays, dissertations, reports, and programming assignments can all be scanned.

Yes. Our tool can scan source code and identify both exact matches and modified code, making it valuable for computer science, engineering, and IT students.

Skyline Academic checks documents in 100+ languages, including English, Spanish, French, German, Portuguese, Chinese, Arabic, Russian, and more. This makes it effective for international students and multilingual research.

We can detect: Direct Copying – word-for-word matches   Paraphrased Text – ideas rewritten without proper credit   Spun Content – text modified with synonyms or slight changes   Code Plagiarism – copied or slightly altered source code   Image-to-Text Plagiarism – scanned or image-based text comparisons