A collection of useful Rust CLI tools for various automation tasks. Built with performance and user experience in mind.

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Swiss Knife is a growing collection of command-line utilities written in Rust, designed to handle common tasks efficiently with beautiful user interfaces.

A high-performance tool for video transcription and AI-powered content generation.

Features:

• 🚀 Concurrent Processing: Leverages Tokio async runtime for parallel chunk transcription
• 📊 Real-time Progress: Beautiful progress bars for every processing step
• ♻️ Smart Caching: Automatically detects and reuses processed files
• 🎯 Auto-chunking: Long videos are automatically split and processed in parallel
• 🎨 Colored Output: User-friendly colored terminal output
• 📦 Auto-compression: Large audio files are compressed to meet API limits

Generate images using OpenAI's DALL-E API.

A smart S3 uploader with intelligent file comparison and pre-signed URL generation.

Features:

• 📦 Smart Upload: Automatically skips files that are identical on S3
• 🔗 Pre-signed URLs: Generates 7-day valid URLs for sharing
• 📊 Progress Bars: Real-time upload progress tracking
• 📁 Directory Support: Upload single files or entire directories
• ⚡ URL-Only Mode: Generate pre-signed URLs without uploading
• 🎨 Beautiful Output: Colorful, user-friendly console interface

cargo install swiss-knife

# Clone the repository
git clone https://github.com/tyrchen/swiss-knife
cd swiss-knife

# Build in release mode
cargo build --release

# Install to cargo bin directory
cargo install --path .

# Set up OpenAI API key
export OPENAI_API_KEY="your-api-key"

# Process a video file
convert <video_file>

# Example
convert ~/Videos/lecture.mp4

Output Example:

🎬 Processing video: "lecture.mp4"

⠋ Analyzing video duration...
Video duration: 2500 seconds

⚠️  Video longer than 1300 seconds, processing in chunks...
   Will create 2 chunks

⠏ [########################################] 2/2 chunks processed
✅ All chunks merged into complete transcript

⠋ Generating content with GPT-5-mini...
✅ Content generated successfully!

✨ Processing complete!
📦 All files saved in /tmp

# Create .env file with AWS configuration
cat > .env << EOF
AWS_REGION=us-west-2
S3_BUCKET=my-bucket
S3_TARGET_PATH=uploads
EOF

# Upload a single file
s3upload ./video.mp4

# Upload entire directory (only mp4 and mov files by default)
s3upload ./videos

# Upload with custom file extensions
s3upload . -e mp4,mov,avi

# Generate pre-signed URLs only (no upload)
s3upload ./video.mp4 --url-only

Output Example:

📦 Target: s3://my-bucket/uploads/
✓ video.mp4 (15.2 MB)
  🔗 https://my-bucket.s3.amazonaws.com/uploads/video.mp4?X-Amz-...
↻ video2.mp4 (skipped - identical, 10.5 MB)
  🔗 https://my-bucket.s3.amazonaws.com/uploads/video2.mp4?X-Amz-...

Summary: 1 uploaded, 1 skipped, 0 failed

For detailed documentation, see specs/s3upload-README.md

• FFmpeg (for audio extraction)
• FFprobe (for video analysis)
• OpenAI API key

• Valid AWS credentials (via environment, credentials file, or IAM role)
• S3 bucket with appropriate permissions

• Rust 1.70+
• Linux/macOS/Windows

Contributions are welcome! Feel free to:

• Add new tools to the collection
• Improve existing tools
• Report issues or suggest features
• Submit pull requests

• Add more video/audio processing tools
• Add text processing utilities
• Add file management tools
• Add network utilities
• Add development helper tools

MIT License - see LICENSE file for details.

Tyr Chen tyr.chen@gmail.com