OptiMedia – High-Throughput Media Conversion Console

Delivered scope

• Batch-converts 19+ image formats to WebP and video containers to WebM.
• Supports HEIC, RAW, AVIF, TIFF, and high-bitrate video inputs with automated orientation correction.
• Features dual interface: responsive web console with live job progress and high-throughput CLI tool.

Technology

System approach

• Processing Engine: Python ThreadPoolExecutor coordinating concurrent Pillow and FFmpeg worker subprocesses.
• Format Support: Wide-spectrum codec support across 19+ image types (HEIC, RAW, CR2, DNG, AVIF, PNG) and 10+ video containers.
• Web Console: Dark/light glassmorphic control center with real-time status streaming, file counters, and compression ratios.
• CLI & Server: Dual operational modes supporting command-line batch folder optimization and web-based drag-and-drop.

Challenges

• Processing iPhone HEIC and camera RAW formats without requiring external paid software or complex dependencies.
• Maximizing CPU core utilization during large batch operations without causing disk I/O bottlenecks.
• Maintaining visual sharpness and color accuracy while drastically reducing file sizes for web delivery.

Solutions

• Integrated native libheif and Pillow plugins with automated fallback handlers for exotic RAW camera formats.
• Implemented asynchronous worker pools with configurable concurrency thresholds and atomic file swapping.
• Calibrated WebP quality curves and WebM VP9 encoding flags to achieve ~70% file size reduction with zero visible loss.

Key outcomes