Show HN：AutoShorts – 專為創作者打造的本地化、GPU加速AI影片處理管線

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divyaprakash0426/autoshorts

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AutoShorts

Automatically generate viral-ready vertical short clips from long-form gameplay footage using AI-powered scene analysis, GPU-accelerated rendering, and optional AI voiceovers.

AutoShorts analyzes your gameplay videos to identify the most engaging moments—action sequences, funny fails, or highlight achievements—then automatically crops, renders, and adds subtitles or AI voiceovers to create ready-to-upload short-form content.

🎬 Example Output

Here are some shorts automatically generated from gameplay footage:

✨ Features

🎯 AI-Powered Scene Analysis

🎙️ Subtitle Generation

🔊 AI Voiceover (ChatterBox TTS)

⚡ GPU-Accelerated Pipeline

📐 Smart Video Processing

🛡️ Robust Fallback System

AutoShorts is designed to work even when optimal components fail:

📋 Requirements

Hardware

Software

🚀 Installation

Option 1: Makefile Installation (Recommended)

The Makefile handles everything automatically—environment creation, dependency installation, and building Decord with CUDA support.

The Makefile will:

Option 2: Docker (GPU Required)

Prerequisite: NVIDIA Container Toolkit must be installed.

Note: The --gpus all flag is essential for NVENC and CUDA acceleration.

⚙️ Configuration

Copy .env.example to .env and configure:

Key Configuration Options

See .env.example for the complete list with detailed descriptions.

📖 Usage

Place source videos in the gameplay/ directory

Run the script:

Generated clips are saved to generated/

Output Structure

🧪 Development

Linting

Running Tests

Tests mock GPU availability and can run in standard CI environments.

Debug Variables

For faster iteration during development, you can skip expensive steps using these environment variables in your .env:

Example workflow for testing subtitles only:

🔧 Troubleshooting

🙏 Acknowledgments

This project builds upon the excellent work of:

📄 License

This project is licensed under the MIT License.

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