AI Detector for Teachers — Verify Student Work
Check student essays for signs of AI generation and copied text. You get a probability score and sentence highlights to discuss with the student — never proof on their own.
Check student work for AI content
Paste Text to Scan
Using AI Detection Responsibly
AI detectors can be wrong, including on genuine student work. Used carefully, a score and its highlighted sentences can start a conversation; used alone, they can lead to unfair accusations.
Sentence-Level Transparency
The result highlights the sentences that drove the score, so you can talk with a student about specific passages instead of a single number.
Combined Academic Integrity Tools
Check both AI generation and plagiarism in one platform. Since student work can be original but AI-written, or human-written but copied, having both checks available streamlines your review process.
Confidence Scoring, Not Binary Judgments
Results are probability scores, not verdicts. Treat them as one signal that needs context — drafts, revision history and a conversation — before any decision.
How to Review a Submission
- 1
Upload Student Submission
Copy the student’s essay text or upload their document file to the detector for analysis.
- 2
Review Confidence Score
Check the overall AI-likelihood score. A higher score is a reason to look more closely, never a conclusion on its own.
- 3
Examine Sentence-Level Flags
See which sentences contributed to the score. Use them as conversation starters, not as evidence of misconduct.
- 4
Check for Plagiarism
Run the plagiarism checker to see if the work copies existing sources, which is a separate issue from AI generation.
- 5
Have a Conversation
Share the results with the student and ask about their writing process. Request drafts or revision history to understand how the work developed.
Benefits for Educators
Specific Passages to Discuss
Sentence highlights give you concrete passages to ask about. They are not evidence of misconduct on their own.
Free Scans to Start
3 free scans in total, shared across all tools, with no signup needed to start.
Teaching Opportunity
Use the tool in class to show how AI detection works and why its results can be wrong.
Supports Fair Policies
Probability scores make the uncertainty visible, which supports policies that never rely on a detector alone.
Integrated Workflow
Check AI detection, plagiarism, and grammar without switching platforms — saves time during grading.
Frequently asked questions
Results are probabilities, not proof, and can be wrong — including on genuine student work. Use a score as one signal among several when evaluating academic integrity. We recommend treating detection results as a prompt for conversation with students rather than definitive proof.
We don't notify students when their text is scanned. The text is sent to a third-party AI-detection API to produce the result, so follow your institution's rules on sharing student work, and be transparent with students about your use of detection tools.
Have a conversation with the student first. False positives can occur with polished writing or non-native English speakers. Ask about their writing process, request drafts or revision history, and treat the detection result as one data point, not conclusive evidence.
Yes, within the free tier: 3 free scans in total, shared across all five tools (not per day or per month). No signup needed to start. Paid plans remove the scan limit for AI detection.
No. Each scan checks one text or one uploaded file. There is no batch upload.
Share the sentence-level highlighting with students and explain that the tool analyzes statistical patterns, not intent. Emphasize that a high AI score prompts discussion, not automatic penalties. Focus the conversation on their writing process and learning.
Many educators now include AI detection in academic integrity policies. Being transparent about tool use and establishing clear guidelines for acceptable AI assistance helps prevent misunderstandings.
Plagiarism checking identifies copied content from existing sources. AI detection estimates whether content was generated by AI. Both tools are in the same workspace, which is useful since student work can be original but AI-generated, or human-written but plagiarized.
Yes, non-native writing patterns can sometimes resemble AI-generated text statistically. Always consider student background and request additional context before making academic integrity decisions based on detection scores.
Show students how AI detectors work, look at a result together, and discuss why scores are probabilities that can be wrong. This helps students understand both the technology and its limits.
Best Practices for Using AI Detection in Education
- •Include AI detection policies in your syllabus and discuss them transparently with students
- •Treat detection results as conversation starters, not automatic penalties
- •Request additional evidence (drafts, revision history) when scores are high
- •Consider student background — non-native speakers may be falsely flagged
- •Focus on teaching authentic writing rather than just catching AI use
- •Document your process and maintain consistent standards across all students