@mixvideo/cli

🎬 AI-powered video analysis and editing CLI tool for automatic video classification and Jianying draft generation.

Features

• 🤖 AI Video Analysis: Powered by Gemini AI for intelligent video content analysis
• 📁 Automatic Classification: Smart categorization of videos into folders
• 🎯 Intelligent File Naming: Content-based file naming with original name preservation
• 📋 Jianying Integration: Generate draft files for Jianying video editor
• 🔄 Caching System: Efficient caching to avoid duplicate processing
• 🛡️ Safe Operations: Copy mode by default to preserve original files

Installation

npm install -g @mixvideo/cli

Quick Start

1. Analyze Videos

Analyze videos in a directory and automatically classify them:

mixvideo analyze ./videos

2. Generate Jianying Drafts

Generate draft files for Jianying from video directory:

mixvideo generate from-videos ./videos

Commands

analyze

Analyze video files and automatically classify them into folders.

mixvideo analyze <source> [options]

Options:

• -o, --output <path>: Output directory (default: "outputs")
• -m, --mode <mode>: Analysis mode - gemini|gpt4 (default: "gemini")
• --temperature <number>: AI model temperature (0.0-1.0, default: "0.3")
• --max-tokens <number>: Maximum output tokens (default: "4096")
• --move-files: Move files instead of copying (default: false)
• --create-backup: Create backup files (default: false)
• --confidence <number>: Minimum confidence for file movement (0.0-1.0, default: "0.4")

Example:

mixvideo analyze ./my-videos -o ./organized --mode gemini --confidence 0.6

generate

Generate Jianying draft files from videos or templates.

generate from-videos

Generate draft from video directory:

mixvideo generate from-videos <source> [options]

Options:

• -o, --output <path>: Output file path (default: "draft_content.json")
• --title <title>: Project title (default: "视频项目")
• --fps <number>: Frame rate (default: "30")
• --resolution <resolution>: Resolution - 1080p|720p|4k (default: "1080p")

generate from-template

Generate draft from template:

mixvideo generate from-template <dir> [options]

Options:

• -t, --template <template>: Template file path (default: "draft_content.json")

login / logout

Authentication commands (coming soon):

mixvideo login -u <username> -p <password>
mixvideo logout

Configuration

The CLI tool automatically creates the following folder structure for video classification:

• 📁 产品展示 (Product Display)
• 📁 产品使用 (Product Usage)
• 📁 生活场景 (Life Scenes)
• 📁 模特实拍 (Model Photography)
• 📁 服装配饰 (Fashion & Accessories)
• 📁 美妆护肤 (Beauty & Skincare)
• 📁 其他 (Others)

Environment Variables

Set up your AI API credentials:

export GOOGLE_APPLICATION_CREDENTIALS="path/to/your/credentials.json"

Examples

Basic Video Analysis

# Analyze videos in current directory
mixvideo analyze ./videos

# Analyze with custom output directory
mixvideo analyze ./raw-videos -o ./organized-videos

# Use GPT-4 mode with higher confidence
mixvideo analyze ./videos --mode gpt4 --confidence 0.8

Generate Jianying Drafts

# Generate draft from video directory
mixvideo generate from-videos ./organized-videos/产品展示

# Generate with custom settings
mixvideo generate from-videos ./videos --title "我的产品视频" --fps 60 --resolution 4k

# Generate from template
mixvideo generate from-template ./materials -t ./templates/product-template.json

Supported Video Formats

• MP4, MOV, AVI, MKV
• WEBM, FLV, WMV, M4V
• 3GP, TS

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support

For issues and questions, please visit our GitHub repository.