Text Similarity Checker
Compare two text passages — word and phrase-level similarity
Text A
Text B
%
Word Similarity
Phrase Overlap
Unique Word Match
Common 3-word phrases found
Note: This is a basic text comparison — not an official plagiarism certificate. Results may differ from tools like Turnitin.
Text Similarity Checker — Complete Guide & Instructions
MakeCard Text Similarity Checker scores how alike two passages are using three real metrics: cosine similarity over word frequencies, 3-word phrase (shingle) overlap in the style of plagiarism detectors, and Jaccard unique-word match. The overall score blends these into one percentage with a plain-language verdict, while up to eight matching phrases are listed so you can see exactly what was shared.
How to Use Text Similarity Checker
- 1 Paste the first passage into Text A and the second into Text B.
- 2 Click "Compare Texts".
- 3 Read the overall similarity percentage and its verdict label.
- 4 Check the three metric cards — Word Similarity, Phrase Overlap, and Unique Word Match.
- 5 Review the flagged common 3-word phrases to see the exact shared content.
Key Features & Capabilities
- Overall score blending cosine (40%) and phrase-overlap (60%) metrics.
- Cosine similarity on word-frequency vectors.
- 3-word shingle overlap — the same technique plagiarism tools use.
- Jaccard unique-word match percentage.
- Up to 8 common phrases listed verbatim.
- Color-coded verdicts from "Different texts" to "Very similar — likely copied".
- Handles English and Devanagari-script text.
Supported Formats & Specifications
| Parameter | Specification |
|---|---|
| Metrics | Cosine word similarity, 3-word shingle overlap, Jaccard set match |
| Overall Score | 0.4 x cosine + 0.6 x shingle, shown as % |
| Phrase Evidence | Up to 8 shared 3-word phrases listed |
| Verdict Bands | <15 different, 15–39 slight, 40–69 moderate, 70+ very similar |
| Tokenizing | Words >2 chars; English and Devanagari supported |
Practical Everyday Use Cases
- Checking a rewritten article against the source for leftover copying.
- Comparing two essay drafts to measure how much changed.
- Spotting duplicated product descriptions across pages.
- Verifying a paraphrase is genuinely different before submission.
- Finding shared phrases between two policy or contract versions.
Pro Tips for Best Results
- Phrase overlap matters more than word match — watch the flagged phrases for real copying.
- Short texts score erratically; compare at least a few sentences each.
- A score above 70% usually means copied or lightly paraphrased content.
- This is a text-level check — it does not search the web like a full plagiarism service.
Common Problems & Solutions
Common boilerplate phrases inflate similarity — check the listed phrases; generic wording is shared by many texts.
Paraphrases that change every third word break the 3-word shingles — the word-similarity card may still show the topical overlap.
Both boxes need text with words longer than 2 characters — check the inputs are non-empty.
Privacy & Security
100% Client-Side Execution
Both texts are compared entirely in your browser — nothing is uploaded, making it safe for confidential drafts.
Frequently Asked Questions
Everything you need to know about using Text Similarity Checker
Paste each passage into the two boxes and click Compare Texts — you get an overall percentage plus word-match, phrase-overlap, and unique-word scores with the shared phrases listed.
It uses genuine similarity metrics — cosine, Jaccard, and 3-word shingles — to compare two texts you provide, but it does not scan the internet like Turnitin or Copyscape.
Above ~70% overall suggests copied or lightly paraphrased content; 40–69% indicates shared phrases worth reviewing; below 15% the texts are essentially different.
Yes — the tokenizer supports Devanagari script alongside English words, so Hindi passages compare correctly.
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