Copyleaks

The AI detector reports whether text looks machine-written and then explains why. AI Logic separates the verdict into AI Phrases, which shows the statistical frequency of phrasing that tends to come from models, and AI Source Match, which points to where similar text already appears online. That breakdown is the part that makes a flag defensible in an academic honor hearing or a publishing dispute. A bare percentage isn't much use when someone asks, "Show me where." This is where Copyleaks pulls ahead of free checkers. They hand you a number. It hands you evidence. Big difference.

Scans compare your text against web content, open-access journals, internal documents, and code repositories, with a searchable index that Copyleaks describes as covering 60 trillion sites. Reports come with source links you can click through and verify yourself. You can schedule recurring scans, which helps teams that republish the same content across regions. The depth of the index is the whole reason the tool exists. Competitors find it the hardest piece to match. A short index means missed matches.

Copyleaks screens images for AI generation as well as text, and AI video detection rolled out later as a separate product. For publishers and marketplaces, catching a synthetic product photo or fake headshot is now as important as catching AI-written copy. These run inside the same report, so you don't juggle separate tools for text and visuals. It's newer territory than text detection, and accuracy claims there deserve more scrutiny.

The API lets companies embed detection into their own products, with a fully white-labeled option and official SDKs for Python, JavaScript, Java, C#, PHP, and Ruby. If you're building an assessment platform or a content review tool, you can call the detectors directly and get results through webhooks rather than a hosted interface. Setup is documented well enough to get a first scan running quickly. Enterprise customers also get on-premises or private-cloud hosting. That matters when content can't leave the building. Not every vendor offers it.

Copyleaks plugs into the tools teachers already use, including Canvas, D2L Brightspace, Moodle, Schoology, Sakai, Edsby, and Blackboard. There's a Chrome, Edge, and Firefox extension for scanning as you browse, plus a Google Docs add-on for checking a document in place. The point is to eliminate the copy-paste step between writing and checking. No tab switching. For schools, that integration is often the deciding factor, not raw detection accuracy.

Alongside detection, Copyleaks offers a grammar checker that reviews spelling, sentence structure, and word choice. The education package bundles AI detection, plagiarism checking, and grammar feedback together, so instructors can give corrective feedback instead of just a flag. It's a supporting feature, not a headline one. It doesn't try to compete with dedicated editing tools. For institutions already paying for detection, having it in the same report is convenient.

Text Moderation uses contextual AI to flag toxic, harassing, or policy-violating content, with tagging across categories like hate speech, harassment, violence, and profanity. Unlike plain keyword filters, it evaluates how language is used, which cuts down on false alarms. Community platforms and UGC apps can set which categories to watch based on their own policies. It shipped in August 2025 and rounds out the content integrity suite. Keyword filters catch words. This one tries to catch meaning.