Yes. Copyleaks includes AI detection alongside its plagiarism checking. Here is how it works, where it shows up, and how to read its scores.
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How Copyleaks handles AI detection
The Copyleaks AI detector is a classifier that outputs a probability score per segment of text, then aggregates to a document-level percentage. It looks at statistical patterns in the writing, including how predictable the word choices are and how uniform the sentence structure is. The public API page describes the inputs, outputs, and supported languages.Copyleaks ships as a standalone web app, a browser extension, and an LTI-integrated tool for Blackboard, Canvas, Moodle, and D2L Brightspace. Institutions that enable it get AI scoring on submissions, typically alongside similarity scoring. Enterprise customers use the API to filter AI-written text out of customer-support ticket backlogs, SEO content pipelines, and compliance review.
Accuracy in practice
Vendor-reported accuracy numbers are not apples-to-apples with independent testing, and in practice every general-purpose detector loses ground on edited, paraphrased, or non-native English writing. A Stanford HAI analysis of seven leading detectors found that major tools misclassified 61% of non-native English student essays as AI-written.The practical takeaway: Copyleaks works as a first filter for clear AI output. It is not reliable as a standalone basis for an academic misconduct charge on an edge case. Many institutions treat a high AI score as a trigger for a conversation, not a verdict, and require corroborating evidence before proceeding. See our guide to AI detection false positives for how to contest a flag you believe is wrong.
What to do about it
A Copyleaks flag shows up in whichever surface the institution uses: the Blackboard grading panel, the Canvas originality report, or the Copyleaks dashboard. The report highlights suspect sentences with per-segment confidence. Screenshot it before anything else. Then look at which segments were flagged: a single dense paragraph flagged at 95% is a very different signal than scattered sentences at 55%.Defensive practices: keep Google Docs version history or equivalent draft evidence, cite specific sources with page numbers (AI output tends toward vague citations), and know which parts of your draft might read as machine-written. If AI help was used within policy, you can verify the final text with Leap's free detector first. It runs in your browser and scores writing signals like sentence-length variation and stock AI phrases, so it gives you a useful second opinion even though the engines are different.
The responsible-use note
Changing a text to avoid detection does not change the underlying integrity question. If AI help is prohibited on a specific assignment, rewriting text to pass detection is still a policy violation, just harder to catch. This page exists to help writers understand the tooling, not to encourage misconduct. Know your institution's rules, and disclose AI use where required.If AI assistance is permitted and you just want to verify your final text reads naturally, run it through Leap's free AI detector first. If the score looks high, the humanizer can clean up stock phrases, em dashes, and uniform sentence lengths so the text reads as yours. It does not guarantee any detector result.