Arabic AI Detector for Schools & Universities

Evaluate Arabic AI detection with language-specific evidence
Arabic assignment review at institutional scale
Sentence-level Arabic analysis

Batch document processing

Scan history and shareable reports

Plagiarism checker

Connect Arabic checks to your learning environment
Canvas LMS
Chrome Extension
Zapier Integration
Browser-based review
API
Plan Arabic AI detection for your institution

Arabic AI Detector FAQ
Start with a limited pilot using representative work and the appropriate permissions. Define acceptable AI use, explain how results will be reviewed, and provide a process for students to discuss or challenge a finding. Evaluate the workflow before scaling it.
Start with work your course team has permission to review. Include independently written Arabic assignments, documented examples of permitted AI use and bilingual work if your courses use it. Keep the drafting history with each sample.
Track how often known student writing is flagged. Record the language, assignment type and length, then ask a second reviewer to examine disputed passages. Compare those findings with the published Arabic benchmarks.
Agree on access before the pilot. Give the designated reviewer the passage, assignment brief and draft history. Explain how students can see the evidence, discuss the work and challenge a finding.
Bring your expected submission volume, a list of courses and your existing review process. Ask about staff access, batch limits, retention and report sharing for the plan you are considering.