How to Compress Images for the Web Without Losing Quality
## Why Image Compression Matters
Images make up over 60% of total web page weight. Unoptimized images slow down page loading times, burn mobile data, and hurt search engine rankings. By compressing your images before publishing or sending them via email, you dramatically improve user experience without sacrificing visual quality.
Lossy vs Lossless Compression
Compression techniques are broadly split into two categories: 1. **Lossless Compression**: Reduces file size by eliminating redundant metadata (EXIF tags, GPS coordinates, camera profiles) and optimizing entropy encoding without altering pixel values. 2. **Lossy Compression**: Intelligently removes subtle color details that human vision cannot easily distinguish. When configured properly (typically between 70% and 85% quality), file sizes drop by up to 80% with virtually zero perceptible loss.
How Qwikory Compresses Images in Your Browser
Unlike traditional image converter websites that upload your personal photos to a remote cloud server, Qwikory performs the entire compression pipeline right on your computer or phone using the HTML5 Canvas API and modern WebP/JPEG encoders.
1. **Local Decode**: The browser reads your image file into an in-memory image buffer. 2. **Canvas Rasterization**: The image is rendered onto an off-screen HTML5 canvas element with high-quality bicubic smoothing. 3. **Optimized Quantization**: The canvas exports a compressed Blob at your chosen quality factor (such as 75%). 4. **Immediate Download**: The resulting binary Blob is delivered directly into your downloads folder via an object URL.