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1.0.8 First release
Analyze video authenticity, metadata, frame consistency, and AI manipulation.
Fake Video Checker is an analytical utility designed to help users examine and evaluate video files for signs of digital manipulation, deepfake artifacts, and structural inconsistencies. By combining file metadata verification with multi-layered video frame analysis, the app provides detailed risk assessments to help you better understand the authenticity of source videos. 🔍 How It Works & Underlying Technology Fake Video Checker processes source videos using an array of digital forensic tests and analysis modules: Hardware & Camera Metadata Inspection The app inspects embedded EXIF and container metadata to check if the file matches known capture profiles from major device manufacturers (e.g., Apple, Samsung, Canon, Sony). High-Frequency Analysis Evaluates high-frequency signal distribution to detect abnormal smoothing, unnatural blurring, or spatial compression patterns common in synthetic video generation. Compression & Re-encoding Profiling Analyzes video bitrates, frame rates, and re-encoding artifacts to determine whether the media has undergone multiple passes of post-processing or AI frame synthesis. Temporal Consistency Check Scans frame-by-frame continuity across the video sequence, checking for micro-flickering, lighting drift, facial feature misalignment, or edge distortion around key subject areas. Confidence & Risk Assessment Scoring Combines weighted outputs from individual signal modules into a transparent Authenticity Risk Percentage (e.g., "Likely Authentic" vs. "High Risk of Manipulation"). ✨ Key Features Comprehensive Video Upload & Preview: Easily select local video files for high-speed automated scanning and preview original video streams directly in-app. Detailed Technical Overview: Instantly inspect key source metrics, including format, file size, video resolution, duration, and encoding settings. Multi-Factor Risk Breakdown: Receive an aggregated percentage score alongside detailed module-by-module risk indicators (e.g., Camera Metadata, High Frequency, Temporal, Frame Continuity, and Edge Analysis). Transparent Analysis Logs: Review individual technical explanations for each test module to see exactly why a video received a specific risk classification. On-Device & Privacy-Focused Workflow: Designed to analyze video data efficiently while giving users full control over their media files. 📱 User Experience & Clean Interface Fake Video Checker features a modern, dark-themed user interface designed for intuitive navigation: Single-Tap Analysis: Simply tap "Click to browse" to import a video and start the automated scanning engine. Clear Visual Metrics: View your overall risk score represented via a clean arc progress gauge and categorized status badges (e.g., Likely Authentic, Suspected AI-Generated, or Inconsistent Metadata). Detailed Module Cards: Expand individual score cards to understand specific technical anomalies detected during the scan. Re-Analyze & Compare: Quickly re-run analysis or swap source videos with a single tap. ⚠️ Important Scope & Limitations Notice Educational & Analytical Tool: Fake Video Checker is intended for informational and educational purposes to aid digital literacy and content analysis. Probabilistic Assessment: Video detection algorithms provide statistical confidence ratings based on detected signals and artifacts. A low risk score does not serve as a legal guarantee of authenticity, nor does a high risk score definitively prove intentional malicious deepfake creation (as heavy compression, social media re-encoding, or heavy filter editing can trigger similar structural signals). No Qualification for Forensic Legal Claims: Results should be evaluated alongside other source verification methods and should not be used as sole forensic evidence in court or official disputes.