# VodKeeper

A unified workflow application for video processing and management, integrating all workflows from R:\Videos\mux into one executable with UI.

## Overview

VodKeeper is designed to streamline video processing workflows by providing a single, user-friendly interface for all video-related tasks previously handled through various scripts and tools.

## Features

- **Input Tab**: File selection, encoding settings (codec, preset, CQ), bitrate management, preview encoding
- **Render Tab**: Progress monitoring, queue management, live FFmpeg output, pause/stop controls
- **QC Tab**: Quality control checks, frame-by-frame comparison, visual verification

## Setup

1. **Install Python Dependencies**:
   ```bash
   pip install -r requirements.txt
   ```

2. **Install FFmpeg** (if not already installed):
   - Windows: Download from https://ffmpeg.org/download.html
   - Or use: `winget install ffmpeg`

3. **Configure Paths**:
   - Default input: `R:\mux\input`
   - Default output: `R:\mux\output`
   - Default logs: `R:\mux\logs`

4. **Run the Application**:
   ```bash
   python run.py
   # or
   python vodkeeper.py
   ```

## Usage

### Input Tab
- Browse and select input directory
- Choose encoding settings (h265_nvenc, vp9, av1)
- Set preset (p1-p7, default p7)
- Configure CQ value (0-51, default 0)
- Auto-detect or manually set bitrate cap
- Preview encode (1 minute test)

### Render Tab
- Add files to render queue
- Monitor progress with live FFmpeg output
- Pause/stop rendering operations
- View queue status and progress

### QC Tab
- Select source and output files for comparison
- Run quality control checks
- Compare frames side-by-side
- Export QC reports

## Development

This project uses:
- **Tkinter** for the UI
- **ffmpeg-python** for video processing
- **OpenCV** for frame analysis
- **Pillow** for image handling

## License

Private project - All rights reserved