Overview
Copyleaks is an AI-powered platform for detecting plagiarism and identifying AI-generated text across more than 30 languages. It serves educators, businesses, and publishers with content authentication, AI detection, and source-matching tools, via web app and API.
Our take
Copyleaks covers both plagiarism and AI detection, and the two deserve different levels of confidence. Plagiarism detection — matching text against an existing corpus — is a solved, reliable problem. AI detection is not, and the documented false-positive rates mean it should never be the basis for an accusation on its own.
Worth it if
Plagiarism checking against published sources, where the underlying method is sound.
Look elsewhere if
Determining whether a person used AI — no detector is accurate enough for that conclusion.
✨ Features
AI Content Detection
Identifies text generated by ChatGPT, GPT-4, Gemini, Claude, and other AI models.
Plagiarism Checking
Scans content against billions of web pages and databases to find copied text.
Multilingual Support
Detects plagiarism and AI text across more than 30 languages.
API & Integrations
Offers a robust API and LMS integrations for embedding detection into workflows.
⚖️ Pros & Cons
Pros
Cons
💰 Pricing
AI Detector
$7.99 /mo
- AI-generated content detection
- 99%+ accuracy
- 100+ languages supported
- Free trial, no card required
Plagiarism Checker
$8.99 /mo
- Plagiarism detection
- Source matching
- Multi-language support
- Detailed reports
AI + Plagiarism Detection
$13.99 /mo
- Combined AI and plagiarism detection
- 99%+ AI detection accuracy
- 100+ languages
- Comprehensive scan reports
Categories
❓ Frequently Asked Questions
Why trust plagiarism detection but not AI detection?
Because they work differently. Plagiarism detection matches your text against a corpus and shows you the source — verifiable evidence. AI detection infers from statistical properties of the writing, producing a probability with no source to check. One can be confirmed by reading; the other cannot.
What should I do with a high AI score?
Treat it as a prompt for a conversation, never as a finding. False positives cluster on clear, conventional writing and on non-native English speakers — a pattern replicated across studies. Asking about process, looking at drafting history, or discussing the work directly are all more reliable than the score.