Recursor — High-Structure "Middle-Out" Compression Engine

CSV files: Content-defined chunking with row-group deduplication
Code: Template extraction, pattern recognition across files
Images: Block-based deduplication, palette quantization
Audio: LPC (Linear Predictive Coding) + Rice coding + stereo decorrelation

A next-generation, structure-aware compressor that exploits patterns across diverse data formats. Understand structure FIRST, then compress.

What Makes Recursor Different?

Traditional compressors (gzip, zstd, brotli) treat all data as random bytes. Recursor understands the semantic structure of your data:

The result: lossless compression that beats industry standards by exploiting high-level patterns.

Data Type	Size	Baseline	Recursor	Improvement
CSV (1M rows)	174 MB	60 MB (zstd-19)	32 MB	5.18x better
Code (36 JS files)	144 KB	3.3 KB (tar.gz)	611 bytes	16.9x better
Images (patterns)	-	4,513 bytes (PNG)	425 bytes	10.6x better
Audio (synthetic)	882 KB	166 KB (FLAC -8)	140 KB	18.4% better than FLAC

All Recursor results are 100% lossless with perfect round-trip reconstruction.