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Measure the meaning between two texts.
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Measure the meaning between two texts.
New here?
Paste two texts and get a 0-100% semantic similarity score. It compares meaning, not word overlap - powered by OpenAI embeddings and cosine similarity.
Enter text in both fields, then measure to see how closely they resonate.
Semantic similarity measures how close two pieces of text are in meaning, rather than how many words they have in common. Two sentences can share almost no words and still mean the same thing - and this calculator is built to catch exactly that.
Plagiarism checkers and text-compare (diff) tools look at literal word overlap. This semantic similarity calculator compares meaning using AI embeddings, so a paraphrase with completely different wording can still score as highly similar. That makes it useful for comparing paraphrases, deduplicating content, matching questions to answers, evaluating model outputs, and checking whether two passages say the same thing.
Each text is converted into an embedding vector using OpenAI's
text-embedding-3-small model. We then take the
cosine similarity between the two vectors and rescale it to an
intuitive 0-100% score - higher means closer in meaning.