AI Detector

ai is a multi-modal AI detection platform designed to identify AI-generated content across text, images, video, and audio. It addresses the challenge of verifying the authenticity of digital media, providing users with tools to detect synthetic patterns, deepfake markers, and other anomalies that may not be visible to the human eye. The platform is used by journalists, educators, students, content creators, and businesses seeking to combat misinformation or ensure content integrity.

The service offers detection capabilities for various formats: users can paste text or upload files—including essays, reports, articles, images, video footage, and audio recordings—to receive an analysis. ai highlights suspicious fragments and provides token-level probability analysis to flag potential AI authorship, identifying patterns such as robotic tone or unnatural phrasing. The image detector analyzes visuals for synthetic artifacts and unnatural textures, using pixel-level heatmaps to reveal AI-generated regions. Video analysis includes frame-level probability and timeline markers to identify manipulated scenes, such as lip-sync errors or facial glitches. Audio files in formats like MP3, WAV, and AAC are examined for voice synthesis patterns and deepfake characteristics, with waveform analysis to detect manipulation or cloning.

ai include confidence scores, color-coded highlights, and detailed breakdowns at the paragraph, frame, or token level, allowing users to understand the reasoning behind each detection. The platform emphasizes transparency and explainability, offering visual evidence and probability breakdowns to support its findings. It is suitable for checking long-form AI text, fully synthetic images, unedited deepfake video, and raw AI voice tracks, though it notes limitations with heavily edited content, mixed human-AI writing, very short text, or low-resolution video.

ai is delivered as a web platform where users can upload or paste content for instant analysis. 99 per month, which offers unlimited scans. The tool is powered by neural networks trained on millions of real and synthetic samples, aiming to provide accurate detection with low false positives for educational, journalistic, and business applications.