Ai Content Detector
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❖ NLP & Text Analysis

AI Content Detector

v1.0 documentation

Detects AI-generated text using statistical analysis: perplexity estimation, burstiness (sentence length variance), vocabulary richness, and repetition patterns.

URL inputFile inputText inputXLSX export
ai_content_detector.py165 lines4 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python ai_content_detector.py --url https://example.com/post
terminal
python ai_content_detector.py --file article.txt --output ai_detection.xlsx
terminal
python ai_content_detector.py --text "Your content here..."
3

Export

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

Parameters
FlagDescription
--urlURL to analyze
--fileText/HTML file
--textRaw text
--outputSave as XLSX
help
python ai_content_detector.py --help
How it works

This tool analyzes the following signals:

1. Burstiness (sentence length variance)
AI text has LOW variance
2. Vocabulary richness (TTR)
AI tends toward lower diversity
3. Repetition patterns
AI repeats phrases more
4. Sentence starter diversity
AI often starts sentences similarly
5. Paragraph length consistency
AI writes very uniform paragraphs
6. Transition word overuse
AI loves "however", "furthermore", "moreover"
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:

Content Uniqueness Scorer

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

Paraphrase Quality Scorer

Score paraphrased text for fluency, meaning preservation, and naturalness. Catch

Readability Analyzer

Deep readability analysis with multiple metrics: Flesch-Kincaid, Gunning Fog, Co

Tone Voice Analyzer

Writing Style Profiler

Create a quantitative style fingerprint to compare authors or maintain consisten

Eeat Scorer

Scores pages for Experience, Expertise, Authoritativeness, Trust signals that Go
Dependencies

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

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Get the full toolkit

AAIO Inc — aaioinc.com/tools/ai_content_detector/