Multilingual Content Analyzer
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❖ NLP & Text Analysis

Multilingual Content Analyzer — Analyze SEO quality in any language.

v1.0 documentation

URL inputFile inputXLSX export
multilingual_content_analyzer.py42 lines3 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python multilingual_content_analyzer.py --help
3

Export

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

Parameters
FlagDescription
--urlUrl
--fileFile
--outputOutput
help
python multilingual_content_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:

Ai Content Detector

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

Claim Fact Extractor

Extract factual claims, statistics, data points, and quotable assertions from co

Content Embedding Visualizer

Embed pages/paragraphs and plot in 2D (UMAP/t-SNE) to visually identify content

Content Scoring Ml

Content Uniqueness Scorer

Compares rewritten/spinned content against source to score originality using emb

Emotion Classifier

Classify text into 8 granular emotions: joy, trust, fear, surprise, anger, antic
Dependencies

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

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Get the full toolkit

AAIO Inc — aaioinc.com/tools/multilingual_content_analyzer/