Sentence-Level AI Detection

Sentence-level AI detection analyzes each sentence in a document individually, rather than producing a single score for the whole text. Each sentence gets its own AI probability rating, so reviewers can see exactly which parts of a submission show AI-generated patterns and which appear human-written.

Most AI detectors return a single percentage for an entire document. Sentence-level detection breaks that down to individual sentences, showing you which sentences are highly likely AI-generated while the rest appear human-written. This is critical for mixed submissions where students use AI for parts of their work.

Academic integrity decisions are high-stakes. Telling a student their paper is “67% AI” without showing which sentences triggered that score is neither fair nor defensible. Sentence-level analysis provides the granular evidence educators need to have informed conversations and make decisions that hold up in appeals.

Yes. Proofademic’s detection models are trained to identify AI-generated patterns even after paraphrasing or light editing. The sentence-level approach is especially effective here because it can flag individual rewritten sentences rather than missing them in a document-wide average.

The heatmap highlights each sentence based on its AI probability score. Green indicates likely human-written text, yellow signals uncertain or mixed signals, and red indicates a high probability of AI generation. This visual format lets educators scan a full document in seconds and focus their review on flagged sections.

It significantly reduces the impact of false positives. With document-level detection, one false positive can inflate the overall score and flag an entire paper incorrectly. With sentence-level analysis, a false positive is isolated to a single sentence, making it easier for the reviewer to recognize and account for.

Proofademic’s sentence-level detection covers content generated by ChatGPT, Claude, Gemini, Llama, and other major AI writing models. Detection models are continuously updated as new AI tools emerge.

Yes. Sentence-level results provide the kind of specific, documented evidence that academic integrity boards need. Instead of presenting a single score, you can reference individual flagged sentences with their confidence levels — giving both the reviewer and the student a clear basis for discussion.