What is Copyleaks?
Copyleaks is an AI detector and content integrity platform that identifies AI-generated text, plagiarized content, manipulated images, and deepfakes. It helps individuals, businesses, and institutions verify the authenticity of written, visual, and coded content. The platform addresses growing concerns around AI misuse, intellectual property violations, and content fraud. Core capabilities include AI text detection, image analysis, plagiarism checking, grammar review, and text moderation. Copyleaks is accessible via a web interface, browser extension, Google Docs add-on, LMS integrations, and a fully customizable API.
Features & Benefits
- AI Text Detection: Detect AI-generated content from major large language models with over 99% accuracy, including text that blends AI and human writing.
- AI Image Detection: Analyze images at the pixel level to identify AI-generated or AI-altered visual content, including manipulated documentation and photos.
- Deepfake Detection: Scan images for structural inconsistencies and hidden AI signals to determine whether visual content is authentic, altered, or artificially generated.
- Plagiarism Detection: Check content for duplicate text, paraphrasing, image-based plagiarism, character manipulation, source code infringement, and AI-generated text across a database of 60 trillion websites, 16,000+ open-access journals, and 20+ code repositories.
- Code Plagiarism Detection: Verify source code for unauthorized reuse, licensing violations, and AI-assisted plagiarism across 20+ code repositories.
- Grammar Checker: Analyze writing for spelling, punctuation, sentence structure, word choice, and readability, with a scored breakdown across corrections, insights, and readability metrics.
- AI Content Moderation: Flag and filter harmful or policy-violating user-generated text in real time using contextual AI that reduces false positives compared to keyword-based tools.
- AI Logic: Explain why content is flagged as AI-generated by surfacing AI phrase patterns and matching flagged text against existing AI-published sources.
- Multilingual Support: Detect AI-generated content and check for plagiarism across 30+ languages, including Spanish, French, German, Italian, Portuguese, Japanese, and Chinese.
- Customizable Reporting: Generate, customize, download, and share detailed detection reports with source links and AI findings.
- Unauthorized LLM Usage Monitoring: Identify when large language models have used your content without authorization to protect intellectual property.
- GenAI Governance: Monitor and manage generative AI use across an organization to maintain transparency and reduce compliance risk.
- IP and Copyright Compliance: Flag unauthorized use of human or AI-generated content to support copyright protection across your organization.
- Academic Integrity Tools: Detect AI use and plagiarism in student submissions within educational workflows to support learning outcomes.
- Integrations: Connect Copyleaks to existing workflows through API, LMS platforms, browser extensions, and a Google Docs add-on.
Real-World Applications
A marketing team publishing content at scale can run each piece through the AI detector before it goes live. Flagged sections surface through AI Logic, giving editors clear evidence of AI-generated phrasing rather than a bare score. The grammar checker and plagiarism checker run in the same platform, so the review process stays in one place and covers originality, accuracy, and readability at once.
Insurance and financial services teams face a growing volume of fraudulent document submissions. AI image detection and deepfake analysis can verify whether claim photos, customer IDs, or submitted records show signs of AI manipulation at the pixel level. Catching altered documents before they enter a workflow may prevent financial loss and keep the organization compliant with know-your-customer policies.
Educational institutions can integrate the AI detector directly into Canvas, Moodle, Blackboard, and other LMS platforms. Faculty can review student submissions for both AI-generated content and plagiarism without leaving their existing systems. AI Logic gives instructors source-backed context for each flag, which supports fair and informed academic integrity decisions.
Publishers, journalists, and social media platforms can use AI image detection and deepfake tools to vet visual content before publication or upload. Profile images, news photography, and user-generated visuals can all pass through the detector to confirm authenticity. For platforms where fake profiles or misleading product listings pose a trust risk, pixel-level analysis can provide a defensible, transparent record of each verification.
