How to use
Add both texts, choose whether to exclude common words, and compare their normalized vocabularies.
TextoLab · Works in your browser
Vocabulary Comparator
Compare shared and exclusive vocabulary in two texts.
✓ Your text stays in your browser.
Result
How it works
Language-aware tokenization builds frequency maps for each text. Distinct-term intersection and union produce a transparent Jaccard-style overlap score.
Understanding the result
Similarity is the percentage of distinct analyzed terms shared by both texts. Tables show counts on each side.
Practical example
Compare two drafts, translations, or campaign variants to see which important terms they share or use exclusively.
Limitations
Vocabulary overlap does not measure semantic equivalence, factual similarity, plagiarism, or writing quality.
Common question
Are repeated terms counted?
Yes. Each table includes frequencies, while similarity is based on distinct vocabulary.
What this tool checks and changes
- Builds frequency maps for two texts.
- Separates shared and exclusive terms.
- Calculates distinct-word overlap after optional stop-word filtering.
Practical uses
- Comparing terminology between revisions.
- Reviewing vocabulary consistency in translations.
- Seeing which concepts appear only in one draft.
Vocabulary Comparator
A reliable three-step workflow
The processing remains in this browser; the supplied text is not sent to an external text-processing service.
- 1
Start with the original
Paste the complete text and preserve the parts whose structure matters.
- 2
Choose only relevant options
Each option changes a specific rule. Leave unrelated settings off.
- 3
Review before using the result
Read the output in context, then copy it only after confirming the intended meaning and formatting.