About this project
Modern Format Boost is a media optimization tool written in Rust that provides separate pipelines for static images and video/animated media. It emphasizes evidence-driven optimization, ensuring that files are only delivered after passing strict decode, quality, and integrity gates.
Key capabilities include:
- **Static Image Pipeline (`img`)**:
- Supports conversion to JXL and AVIF.
- Features a reversible JPEG to JXL path that ensures byte-identical reconstruction.
- Handles lossless conversion for PNG, TIFF, BMP, and other raster formats.
- Implements "AVIF Meme Mode" for bounded size/quality searches.
- Preserves EXIF, XMP, ICC profiles, and macOS-specific metadata (xattrs, Finder tags).
- **Video Pipeline (`vid`)**:
- Transcodes video and animated rasters (GIF, WebP) to HEVC or AV1.
- Employs a three-phase saturation search: GPU coarse search, CPU fine-tuning, and a 3D quality gate using VMAF, CAMBI, and PSNR.
- Supports HDR10+ dynamic metadata and Dolby Vision RPU extraction/injection.
- **Technical Features**:
- Content-based format identification using magic bytes rather than file extensions.
- BLAKE3-fingerprinted analysis cache for efficiency.
- Local-first architecture with no telemetry or cloud uploads.
- A native macOS AppKit application for drag-and-drop batch processing.
- Fail-closed design that retains original source files if quality or size policies are not met.
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