The most accurate AI watermark detection platform. Identify and remove statistical watermarks embedded by Claude, GPT, Gemini, and other AI systems with enterprise-grade precision.
From detection to removal to ongoing monitoring, our platform handles every aspect of AI watermark management for modern teams.
Advanced statistical analysis detects watermarks embedded by Claude, GPT-4, Gemini, and 15+ other AI models. Get confidence scores, heatmaps, and detailed breakdowns of detected patterns.
Enterprise-grade removal preserves your original meaning, tone, and formatting while eliminating statistical watermark patterns. Side-by-side comparison shows exactly what changed.
Set up automated workflows to scan content pipelines in real time. Get alerts when watermarked content is detected, with integration support for Slack, email, and webhooks.
Three simple steps to detect and manage AI watermarks in your content.
Drop your text, code, or image into our scanner. We support bulk uploads via CSV, API, or direct paste for instant analysis across any content format.
Our engine runs 47 statistical tests in under two seconds. You receive a confidence score, model attribution, and a detailed technical breakdown of every detected watermark pattern.
Choose to remove detected watermarks instantly or set up continuous monitoring. All changes are tracked in an audit log for compliance and review purposes.
Start free, scale as you grow. No credit card required.
An AI watermark is a statistical pattern embedded in text, images, or code generated by AI models like Claude, GPT-4, and Gemini. These watermarks are invisible to the human eye but can be detected through statistical analysis. They are typically implemented by subtly biasing token selection during generation, creating patterns that are statistically unlikely in human-written content.
Our detection engine achieves 99.4% accuracy on Claude-generated text based on independent benchmarks. We run 47 distinct statistical tests including n-gram frequency analysis, token distribution mapping, entropy measurements, and model-specific signature detection. False positive rates are below 0.3% across all supported models.
The legality of watermark removal varies by jurisdiction and use case. In most contexts, modifying AI-generated text for your own use is permissible. However, removing watermarks to misrepresent AI content as human-written may violate platform terms of service or disclosure requirements. We recommend consulting your legal team for specific compliance questions.
We currently support detection for Claude (all versions including Opus, Sonnet, Haiku), GPT-4 and GPT-4o, Gemini Pro and Ultra, Llama 3, Mistral, and 10+ additional models. Our engine is updated within 48 hours of any new model release to ensure comprehensive coverage.