trim-vid / README.md
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# Video Compressor and Trimmer
[![Python Version](https://img.shields.io/badge/python-3.8%2B-blue.svg)](https://www.python.org/)
[![Streamlit](https://img.shields.io/badge/Streamlit-1.x-red.svg)](https://streamlit.io/)
[![FFmpeg](https://img.shields.io/badge/FFmpeg-6.x-green.svg)](https://ffmpeg.org/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)
A pure Python web application for compressing and trimming videos with high accuracy. The application uses 2-pass encoding to ensure the output file size matches the target size specified by the user.
## Features
- Video Trimming: Specify start and end times for the output.
- Custom Resolution: Choose from 1080p, 720p, 480p, 360p, or keep original.
- Frame Rate Control: Adjust FPS to further reduce file size.
- Exact Target Size: Specify the output size in MB.
- History Tracking: Keep a local record of all compression tasks in a SQLite database.
## Prerequisites
- Python 3.8 or higher.
- FFmpeg must be installed on your system and added to your PATH.
- Windows: `winget install ffmpeg`
- macOS: `brew install ffmpeg`
- Linux: `sudo apt install ffmpeg`
## Installation
1. Clone the repository or download the source code.
2. Navigate to the project directory.
3. Create a virtual environment:
```cmd
python -m venv venv
```
4. Activate the virtual environment:
- Windows:
```cmd
.\venv\Scripts\activate
```
- macOS/Linux:
```bash
source venv/bin/activate
```
5. Install the required dependencies:
```bash
pip install -r requirements.txt
```
## Usage
1. Run the Streamlit application:
```bash
streamlit run app.py
```
2. Open the URL provided in your terminal (usually `http://localhost:8501`).
3. Upload a video file (MP4, MOV, AVI, MKV).
4. Configure your compression settings in the sidebar or main panel:
- Set start and end times for trimming.
- Select desired resolution and FPS.
- Enter the target output size in MB.
5. Click the "Compress & Export" button.
6. Once processing is complete, download your compressed video.
7. Check the "History" tab to view past compression details.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.