Lossless compression algorithms work by finding patterns and redundancies within the data. Common techniques include Huffman coding, Run-Length Encoding (RLE), and Lempel-Ziv-Welch (LZW). These methods replace repetitive data with shorter representations, which can be expanded back to their original form without any loss of information.