Text Similarity Clustering

Paste short texts or upload a CSV/TXT file to group semantically similar items using SBERT embeddings. Clusters are built greedily using a cosine similarity threshold.

CSV: uses the text column if present, otherwise the first column. Processes up to 5000 rows.
Higher = stricter clusters (default 0.60).