Measure how similar two texts are using word overlap, Jaccard similarity, character similarity, common words, and unique vocabulary comparison.
Text Similarity Checker generates a structured analysis report with match score, difference summary, practical interpretation, and exportable results.
Use strict options for code, IDs, and legal text. Use normalized options for content review, SEO, drafts, and editorial comparison.
Example input uses sample text for Text Similarity Checker. For comparison tools, Text A and Text B are separated by --- so the tool can process both versions.
The JavaScript logic uses browser-side tokenization, normalization, frequency maps, similarity scoring, and LCS-style diff logic where needed.
This tool performs lexical and structural analysis. It does not understand legal intent, semantic meaning, or document authority.
This tool processes text locally in your browser and generates a practical report based on the selected options.
Use the normalization options to ignore case, spaces, punctuation, or formatting when those differences are not important.
The score is a guide for editing and review. A higher score usually means cleaner matching, stronger similarity, or more balanced output.
CSV and JSON exports are useful when you need to reuse the results in spreadsheets, QA logs, SEO reports, or technical workflows.
For best results, paste clean source text and choose options that match your review goal before exporting the report.
| Module | Purpose |
|---|---|
| Input parser | Reads pasted text and optional delimiter. |
| Normalizer | Applies case, spacing, and punctuation rules. |
| Analyzer | Calculates score, differences, and result metrics. |
| Exporter | Creates TXT, CSV, JSON, and printable reports. |