Rapier-JXL is a dependency-free JavaScript JPEG XL encoder designed for browsers, workers, Node, and Deno. Its core is about 29 KB gzipped, with a larger still-image worker of roughly 150 KB that adds features including lossy and lossless encoding, HDR, exact alpha, JPEG transcoding, WebAssembly, and parallel lossless compression. A complete worker with animation support is about 214 KB. The project also offers a quality-search API that aims to find the smallest file meeting a target visual-quality score, and an image helper that converts files, bitmaps, image data, or canvases into JPEG XL blobs.
In benchmarks on 24 Kodak images, Rapier-JXL reports files 5-7% smaller than libjxl at the same SSIMULACRA2 quality, and up to 5% smaller when comparing by Butteraugli; it also reports smaller output than AVIF, WebP, and JPEG at the tested settings. Its JPEG-to-JPEG XL conversion restored all 24 test images byte for byte while reducing size by 15%. The project provides benchmark methods and reproduction details. WebGPU can accelerate quality search and encoding: a 12-megapixel phone photo took a reported median of about 2.1 seconds, versus 6.7 seconds on CPU, across 24 photos tested on an NVIDIA T4. GPU support is optional, with CPU fallback.
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