A Library for GPU-accelerated visual fidelity metrics, featuring SSIMULACRA2, Butteraugli and CVVDP.
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Updated
Jan 11, 2026 - C++
A Library for GPU-accelerated visual fidelity metrics, featuring SSIMULACRA2, Butteraugli and CVVDP.
An ML-powered GUI for automated, quality-targeted AV1 batch encoding.
Progression Boost and other encoding and filtering scripts
Image compression that proves it didn't ruin your image - encodes each image several ways, scores every candidate with a perceptual metric, keeps the smallest that passes. CLI + desktop app + web.
FFmpeg-free, pure-Swift Apple media foundation (MIT): probe, MKV/WebM demux, normalize to native HEVC+AAC, and target-quality encoding — the smallest file that clears a perceptual SSIMULACRA2 floor (CPU+Metal).
Python script for picture border cropping, quality approximation using ssimulacra2
Python bindings for the ssimulacra2 re-implementation in Zig
Equal-SSIMULACRA2 image-optimization benchmark — gates every size/speed claim on equal perceptual quality. Benchmarks crustyimg vs rimage, sharp, cwebp, avifenc, oxipng, pngquant.
Modified version of nekotrix's auto-boost-algorithm version 2.5
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