DrillBit now detects plagiarism in Arabic, with the same depth, precision, and reliability our users expect across all supported languages.
Arabic is spoken by over 400 million people and serves as the primary language of instruction and research across universities, research bodies, and government institutions in the Middle East, North Africa, and beyond. Until now, these institutions faced a critical gap: detection engines built for English that struggled with Arabic's unique script, morphology, and right-to-left structure.
DrillBit's Arabic detection engine was built from the ground up to close that gap completely.
Accurately recognises Arabic script, variant forms, and diacritical marks
Understands the structural and syntactic nuances of Modern Standard Arabic
Detects paraphrasing, word reordering, and subtle content manipulation
Delivers precise similarity scores, no false positives from linguistic differences
Fully compatible with mixed-language documents
Student assignments and coursework submitted in Arabic
Research papers, theses, and dissertations
Institutional publications and academic journals
Mixed-language documents combining Arabic with other supported languages