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Understanding Lossy vs. Lossless Web Image Compression

Understanding Lossy vs. Lossless Web Image Compression

Image assets often represent the largest file weight on webpages. Compressing files is critical to achieving high scores on Core Web Vitals checks.

Lossy vs. Lossless Compression

Lossless compression reduces file sizes by optimizing how pixel data patterns repeat, without changing any visual details. Lossy compression removes subtle color details that human eyes don't easily notice to achieve much larger file reductions.

Using Web Canvas Algorithms

Modern HTML5 canvas elements let you resize and compress images locally in the browser. By drawing files onto a canvas buffer and exporting them using standard canvas.toDataURL("image/jpeg", quality) methods, developers can build fast local compressors with zero server costs.