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Leap's AI Content Detector is a powerful tool for identifying text generated by large language models like ChatGPT, Claude, Gemini, and GPT-5. Unlike traditional detectors that provide a single 0–100 score for an entire document, Leap offers sentence-level scoring, allowing you to pinpoint exactly which passages are AI-written. Each sentence receives its own color-coded AI probability score, making it easy to see at a glance which parts need revision. The tool also detects the probable source model when fingerprint signals are strong enough, distinguishing between ChatGPT, Claude, and Gemini. It explains the specific AI tells in your text—such as hedging words, em-dash density, tier-1 AI vocabulary, and low burstiness—so you understand why a score was assigned.
Key features include no signup required, no word limit, and free forever. The technology relies on two primary signals: perplexity (how surprising the next word is given the previous ones) and burstiness (variation in sentence complexity). AI-generated text typically exhibits low perplexity and low burstiness, while human writing shows higher perplexity and burstiness. Leap combines these signals with a model-specific classifier trained on fresh samples from major LLM releases.
Use cases include educators checking student essays, editors verifying content authenticity, writers ensuring their work reads as human, and businesses screening user-generated content. The sentence-level granularity enables surgical editing—users can rewrite only the flagged sentences instead of the entire piece. This makes Leap ideal for mixed human-AI documents, such as drafts edited by AI or AI-assisted writing. Technical details: the detector analyzes token-level probabilities and statistical signatures, providing transparent explanations for its scores. With no barriers to entry, Leap empowers users to maintain content integrity and authenticity in an AI-driven world.
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