isFake.ai

Key Features

• •Token-Level Text Analysis: The AI Text Detector examines each token in a document, highlighting fragments that match common AI writing patterns. It provides a per-paragraph probability breakdown, helping users identify machine-generated sections from tools like ChatGPT or Claude with clear visual evidence.
• •Pixel-Level Image Heatmap: The AI Image Detector generates a color-coded heatmap overlay that pinpoints regions likely produced by AI generators such as MidJourney, Stable Diffusion, or DALL-E. This pixel-level analysis reveals synthetic artifacts and unnatural textures invisible to the naked eye.
• •Frame-Level Video Timeline: The AI Video Detector uses frame-level probability markers on a timeline to flag AI-generated scenes. It detects lip-sync errors, facial glitches, lighting mismatches, and frame inconsistencies in videos from platforms like TikTok or YouTube, giving users precise temporal evidence.
• •Waveform Audio Analysis: The AI Audio Detector performs waveform analysis to identify voice synthesis patterns, cloning, and manipulation in MP3, WAV, or AAC files. It pinpoints synthetic speech and deepfake audio from voice clones, providing a confidence score for each segment.
• •Explainable Detection Reports: Every detection includes a clear confidence score, color-coded highlights, and detailed breakdowns—such as fragment-level highlights for text or heatmaps for images. This transparency helps users understand why content was flagged, reducing false positives.
• •Multi-Modal Platform: One platform supports text, images, videos, and audio files, allowing users to check any type of AI-generated content. This eliminates the need for separate tools and streamlines the verification process across different media formats.
• •Real-Time Private Analysis: All uploads and pasted content are processed securely in real time and are never stored without user permission. This ensures privacy for sensitive documents and media, making it suitable for academic, journalistic, and business use.

Use Cases

• •Student Essay Verification: A student pastes their essay into the AI text detector before submission to check for unintentional AI patterns. They receive a per-paragraph probability breakdown and highlighted fragments, allowing them to revise flagged sections and avoid false positives from academic integrity software.
• •Journalist Video Fact-Checking: A journalist uploads a viral video from social media to verify its authenticity. The AI video detector analyzes each frame, flagging lip-sync errors and lighting mismatches. The timeline markers show 94% AI probability, enabling the journalist to report accurately and avoid spreading deepfakes.
• •Educator Assignment Screening: An educator uploads a batch of student reports to the platform. The AI text detector scans each document and provides confidence scores per paragraph, highlighting sections that may be AI-generated. This helps the educator maintain academic honesty while considering the tool's limitations.
• •Business Deepfake Scam Protection: A business receives an audio message purportedly from a CEO requesting a fund transfer. They run the file through the AI audio detector, which identifies voice synthesis patterns and assigns a 99% AI probability. The waveform analysis confirms cloning, preventing a costly scam.
• •Social Media Content Verification: A content creator uploads an image from a campaign to ensure it is not AI-generated before publishing. The AI image detector generates a pixel-level heatmap that shows no synthetic artifacts, giving confidence that the image is authentic and safe to share.

Who is this for?

isFake.ai is designed for journalists and fact-checkers who need to verify the authenticity of media before publication, helping them avoid spreading misinformation. Educators and academic researchers use it to screen student assignments and research papers for AI-generated content, supporting academic integrity. Content creators and social media managers rely on it to ensure their visuals and videos are genuine, protecting brand reputation. Business professionals use the tool to detect deepfake scams in audio and video communications, safeguarding against fraud. Additionally, students leverage it to check their own work for AI patterns before submission, reducing false positives from other detectors. The platform is also valuable for legal professionals, government agencies, and anyone involved in digital forensics or misinformation analysis.