Content Uniqueness Scorer
Compares rewritten/spinned content against source to score originality using embedding similarity, n-gram overlap, and structural comparison.
Install
pip install -r requirements.txtRun
python content_uniqueness_scorer.py --source original.txt --rewrite new.txtpython content_uniqueness_scorer.py --source-url https://source.com --rewrite-url https://new.comExport
Add --output report.xlsx to save results as a spreadsheet.
| Flag | Description |
|---|---|
--source required | Source |
--rewrite required | Rewrite |
--output | Output |
python content_uniqueness_scorer.py --helpRun across all your blog posts to score quality. Sort by score in the XLSX export, then prioritize rewrites for the lowest-scoring pages.
Before publishing freelance content, run this tool to check quality signals. Use specific metrics as concrete feedback for writers.
Include the analysis in your SEO audit report. Clients appreciate data-backed recommendations over subjective opinions.
Combine with other tools for a complete workflow:
Requires: beautifulsoup4, numpy, pandas, requests, scikit-learn, sentence-transformers. All included in requirements.txt.
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