Detect AI-generated content in video, images, audio, texts

isFake.ai is a multi-modal AI content detection platform designed to identify synthetic or manipulated content across text, images, video, and audio formats. It provides evidence-based analysis with visual and numerical outputs—including confidence scores, highlighted anomalies, heatmaps, annotated waveforms, and frame-by-frame breakdowns. Developed by cybersecurity researchers, the tool prioritizes transparency, privacy, and explainability, enabling users to verify authenticity without relying on opaque black-box decisions.
The platform serves professionals who require reliable verification of digital media integrity, including journalists assessing source credibility, educators evaluating student submissions, researchers analyzing digital artifacts, content creators validating assets, and businesses safeguarding brand reputation. It supports real-world workflows by accepting direct text input or file uploads in common formats (e.g., TXT, JPG, MP4, MP3) and delivering results in seconds.
isFake.ai operates through a three-step workflow: upload, analyze, and interpret. Users begin by uploading a file (image, video, audio) or pasting text directly into the interface. The system accepts common formats including TXT, PDF, JPG, PNG, MP4, MOV, MP3, WAV, and AAC. During analysis, proprietary neural networks examine modality-specific forensic signals: linguistic patterns and statistical anomalies for text; pixel-level inconsistencies, texture artifacts, and lighting irregularities for images; temporal discontinuities, lip-sync errors, and facial rendering flaws for video; and spectral distortions, prosodic unnaturalness, and waveform tampering indicators for audio.
Results are delivered as detailed, interactive reports. For text, suspicious phrases are color-coded and accompanied by explanations of detected patterns (e.g., repetition, overly uniform phrasing). For images, heatmaps visualize regions with high synthetic probability. Video analysis includes flagged frames and timeline markers for anomalies such as inconsistent lighting or jitter. Audio reports display annotated waveforms and spectrograms highlighting synthetic speech segments. All outputs include a confidence score (e.g., "91% AI") and contextual guidance for interpretation.
isFake.ai supports domain-specific verification needs without requiring technical expertise. Students and educators use it to assess AI involvement in written assignments while accounting for detector limitations and avoiding false positives. Journalists apply it to vet user-generated content, social media videos, and press materials before publication. Researchers leverage it to audit datasets or study generative AI trends across media types. Professionals in marketing and communications rely on it to validate third-party assets and mitigate reputational risk from synthetic media. The platform also aids in digital literacy training, scam prevention (e.g., voice-cloning fraud), and policy development around AI transparency. Its multi-modal architecture eliminates the need to switch between specialized tools, streamlining cross-format verification workflows.