Fast, visually lossless tool for automating video uniqueization for Instagram Reels. Bypasses duplicate-detection algorithms by altering video and audio fingerprints while keeping pristine picture quality intact.
- Micro-Zoom (100–104%): Shifts the pixel grid without blurring or cropping out important content.
- Micro-Speed (98–102%): Alters video duration and audio waveform while preserving original audio pitch.
- Micro-Color Grading: Subtle brightness, contrast, and saturation shifts (±1.5%) that keep skin tones natural.
- Metadata Stripping: Wipes all camera EXIF data, creation timestamps, and encoding tags (
-map_metadata -1). - Blurred Background: Automatically pads horizontal videos into 9:16 vertical format (1080x1920).
- GPU Accelerated: Uses hardware NVIDIA NVENC (
h264_nvenc) — renders a 30s 60fps video in ~3-4 seconds. Falls back to CPU (libx264) if no NVIDIA GPU is detected.
Generates 72 distinct unique videos and organizes them directly into separate folders for 12 Instagram Reels accounts (6 unique videos per account):
output/
├── account_01/ -> 6 unique videos
├── account_02/ -> 6 unique videos
...
└── account_12/ -> 6 unique videos
Every single file across all 12 accounts receives its own random seed and parameters, ensuring zero duplicate collision between accounts.
A clean PyQt5 interface with tabs for:
- 🎬 Уникализация видео: custom one-off video processing with manual controls over filters, zoom ranges, speed ranges, and copy counts.
- 🎵 Уникализация аудиодорожки: extracts voiceover/audio, modifies acoustic fingerprint (pitch ±1.8%, tempo ±0.7%, formant preserved, dynamic EQ), and exports MP3 192k + iOS Camera Roll MP4 containers.
Fast batch uniqueization of voice/audio tracks directly from the command line or via interactive drag-and-drop:
- Input: Any video or audio file
- Output: N unique MP3 (192 kbps) + N iOS Camera Roll containers (
.mp4) with zero metadata.
- Drop your source video(s) into
input/. - Run:
scripts/run_audio_unique.bat(to uniqueize voiceover/sound tracks)scripts/run_batch_x12.bat(for multi-account batch rendering)scripts/run_gui.bat(for full GUI control)
- Grab the generated files from
output/.
- Windows 10/11
- Python 3.10+ (
pip install -r requirements.txt) - FFmpeg installed and available in system PATH
- (Optional) NVIDIA GPU for fast NVENC hardware encoding