Text Normalizer
❖ NLP & Text Analysis

SEO Text Normalizer & Cleaner

v1.0 documentation

Strip boilerplate, normalize unicode, fix encoding, extract clean body text from messy HTML for downstream NLP pipelines.

URL inputFile inputXLSX export
text_normalizer.py126 lines5 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python text_normalizer.py --url https://example.com --output clean.txt
terminal
python text_normalizer.py --file messy.html --output clean.txt --format txt
terminal
python text_normalizer.py --urls https://a.com https://b.com --output corpus.csv
3

Export

Add --output report.xlsx to save results as a spreadsheet.

Parameters
FlagDescription
--urlSingle URL
--urlsMultiple URLs. Multiple values allowed
--fileLocal HTML file
--formatFormat. Options: txt, csv, json
--outputOutput file
help
python text_normalizer.py --help
Use cases
Content quality audit
Writer evaluation
Client deliverable

Run 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.

Dependencies

Requires: beautifulsoup4, pandas, requests. All included in requirements.txt.

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AAIO Inc — aaioinc.com/tools/text_normalizer/