SEO Text Normalizer & Cleaner
Strip boilerplate, normalize unicode, fix encoding, extract clean body text from messy HTML for downstream NLP pipelines.
Install
pip install -r requirements.txtRun
python text_normalizer.py --url https://example.com --output clean.txtpython text_normalizer.py --file messy.html --output clean.txt --format txtpython text_normalizer.py --urls https://a.com https://b.com --output corpus.csvExport
Add --output report.xlsx to save results as a spreadsheet.
| Flag | Description |
|---|---|
--url | Single URL |
--urls | Multiple URLs. Multiple values allowed |
--file | Local HTML file |
--format | Format. Options: txt, csv, json |
--output | Output file |
python text_normalizer.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, pandas, requests. All included in requirements.txt.
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AAIO Inc — aaioinc.com/tools/text_normalizer/