HTML Compressor
Ingrese su código HTML para comprimir:
Agregue hasta 10 archivos HTML múltiples (Límite de tamaño: 2 MB por archivo)
Sobre HTML Compressor
What is HTML Compressor?
It`s an SEO tool that will allow you to compress or reduce the size of your HTML files very convenient to increase the loading speed of our website. In addition to being a totally free tool, it is very simple to use, you only have to copy and paste the content of your HTML file into the box of our SEO Tool HTML Compressor or directly upload an HTML file and our tool will do the rest, compressing your HTML file to better and acceptable size.
The compression of your HTML files will not only help our website load faster, it can also be very useful to avoid the Copyright or theft of our HTML code, our HTML Compressor will automatically reduce the spaces of our HTML file by converting it a little file unreadable in addition to reducing its size.
What is Data compression?
In signal processing, data compression, source coding, or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by removing unnecessary or less important information.
The process of reducing the size of a data file is often referred to as data compression. In the context of data transmission, it is called source coding; encoding done at the source of the data before it is stored or transmitted. Source coding should not be confused with channel coding, for error detection and correction or line coding, the means for mapping data onto a signal.
Compression is useful because it reduces resources required to store and transmit data. Computational resources are consumed in the compression process and, usually, in the reversal of the process decompression. Data compression is subject to a space–time complexity trade-off. For instance, a compression scheme for video may require expensive hardware for the video to be decompressed fast enough to be viewed as it is being decompressed, and the option to decompress the video in full before watching it may be inconvenient or require additional storage. The design of data compression schemes involves trade-offs among various factors, including the degree of compression, the amount of distortion introduced (when using lossy data compression), and the computational resources required to compress and decompress the data.
