From Morse Code to Information Theory
The origin of compression dates back to the telegraph era. Morse code uses short codes for frequent letters, a simple statistical compression. In 1948, Shannon published information theory, laying the mathematical foundation, and classic algorithms like Huffman coding soon emerged.
Revolution in Images and Videos
In the 1980s, JPEG and GIF standards brought image compression to the masses. JPEG uses discrete cosine transform to remove visual redundancy, while GIF uses LZW for lossless compression. Today, WebP and AVIF become web favorites with better ratios, supporting both lossy and lossless modes.
Extreme Slimming for Text and Code
For text and code, minification removes spaces, comments, and line breaks, drastically cutting size. Tools for JSON, JavaScript, CSS, and HTML speed up page loads. Modern Brotli and Zstandard further balance ratio and speed.
Tools and Future
Now, you can compress images, PDFs, JSON, JS, CSS, and HTML online right here, without installing software. In the future, machine-learning-driven compression will perceive content more intelligently, preserving more detail at same size. Compression makes the digital world lighter.
