Readability Analyzer
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❖ NLP & Text Analysis

Readability Analyzer

v1.0 documentation

Deep readability analysis with multiple metrics: Flesch-Kincaid, Gunning Fog, Coleman-Liau, ARI, SMOG, plus sentence/paragraph structure breakdown.

URL inputFile inputText inputXLSX export
readability_analyzer.py168 lines4 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python readability_analyzer.py --url https://example.com/page
terminal
python readability_analyzer.py --file article.html --output readability_report.xlsx
3

Export

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

Parameters
FlagDescription
--urlURL to analyze
--fileLocal file
--textRaw text
--outputSave as XLSX
help
python readability_analyzer.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.

Works well with

Combine with other tools for a complete workflow:

Sentence Complexity

Identifies complex, hard-to-read sentences and suggests simplification. Flags pa

Paragraph Optimizer

Jargon Simplifier

Detect industry jargon, acronyms, and complex terms. Suggest plain-language alte

Transition Flow Analyzer

Score logical flow between paragraphs. Detect abrupt topic shifts, missing trans

Writing Style Profiler

Create a quantitative style fingerprint to compare authors or maintain consisten

Ai Content Detector

Detects AI-generated text using statistical analysis: perplexity estimation, bur
Dependencies

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

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Get the full toolkit

AAIO Inc — aaioinc.com/tools/readability_analyzer/