Compare text by meaning, not just words
Most text comparison tools only catch exact wording matches. Semasee uses an AI embedding model running entirely in your browser to catch paraphrased and reworded duplicates too — with nothing ever uploaded to a server.
Why this is different
Traditional text comparison tools count shared words and phrases. That means a paraphrased sentence — same meaning, different words — shows up as "different," even though it might actually be a rewritten duplicate. Semasee uses a small AI model (the same underlying technology behind modern semantic search) to represent each sentence as a point in meaning-space, then compares how close those points are. The whole model runs locally in your browser after a one-time download, so nothing you paste is ever sent anywhere.
Who uses semantic similarity checking
Editors and content teams use it to catch reworded duplicate paragraphs across a site. Teachers and academic integrity reviewers use it to spot paraphrased submissions that word-matching plagiarism tools miss. Writers and researchers use it to check how closely a summary or paraphrase tracks the meaning of a source passage.