Paraphrase Similarity
Compare two passages to see how closely they match—even when wording changes. Paraphrase Similarity estimates overlap and meaning-level similarity between Text A and Text B, then summarizes the result into a score, confidence, and risk level. It’s useful for checking whether a revision is truly distinct, evaluating potential reuse, or verifying that a paraphrase still reflects the original meaning. Similarity is contextual: a high score may be expected for definitions or technical descriptions, while a high score in narrative text may require attribution or rewriting. Use the tool to guide review, then inspect the overlapping sections yourself.
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About
Paraphrase Similarity compares two texts and estimates how similar they are. It is designed for revision checks and reuse review.
How it works
Provide Text A and Text B, then run the check. The tool computes similarity signals and summarizes them as a score, confidence, and risk level.
- Compares two inputs
- Summarizes overlap and similarity signals
- Helps identify whether changes are substantial
Result interpretation
A higher score indicates the two texts are closer in wording or meaning. Confidence reflects internal signal agreement; short texts reduce reliability.
Use cases
Use it to compare drafts, check whether a paraphrase is sufficiently distinct, or review suspected reuse between two passages.
- Draft-to-draft comparisons
- Paraphrase review
- Internal compliance checks
Limitations
Similarity depends on length and domain. Two short sentences can appear highly similar. Deep paraphrases may still require manual review.
Best practices
Compare meaningful sections (multiple paragraphs when possible). If similarity is high, rewrite structure—not just synonyms—and add attribution when required.
Related reading
FAQ
What similarity is “too high”?
Can it detect paraphrasing?
Integrity and privacy
- Designed to report similarity signals for review and revision.
- Best used alongside manual inspection of overlapping sections.
- Inputs are sent to the API to compute results. Avoid pasting sensitive personal data.
- When comparing confidential drafts, use only the passages needed for review.