Enter at least two pieces of text, then click "Compute Similarity" to see how similar they are. The tool uses TF-IDF (Term Frequency-Inverse Document Frequency) to convert texts into numerical vectors, then computes cosine similarity between each pair. Higher similarity means the texts share more important terms. For semantic similarity (understanding meaning), an ML embedding model like all-MiniLM-L6-v2 can be integrated via Transformers.js.