Simply stripping EXIF metadata or flipping a video horizontally no longer fools TikTok or Instagram Reels duplicate detectors—they compute perceptual frame hashes (`pHash`) and audio spectrogram fingerprints. ### Automated FFMPEG Uniquifier Pipeline: ```bash ffmpeg -i input.mp4 \ -vf "crop=iw*0.97:ih*0.97,scale=1080:1920,eq=brightness=0.02:contrast=1.03:saturation=1.04,noise=alls=2:allf=t" \ -af "asetrate=44100*1.015,aresample=44100,atempo=0.985" \ -map_metadata -1 -c:v libx264 -crf 23 -c:a aac output_unique.mp4 ``` This applies a 3% micro-crop, subtle color matrix shift, temporal sensor noise, and a 1.5% pitch shift that is imperceptible to humans but produces a 100% fresh perceptual hash across 100 account reposts.