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Humanize Chinese

Detect and humanize AI-generated Chinese text with 6 style transforms.

Rating: 4.8 (24 reviews)
Downloads: 625 downloads
Version: 1.0.0

Overview

Detect and humanize AI-generated Chinese text with 6 style transforms.

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Humanize Chinese AI Text

Comprehensive CLI for detecting and transforming Chinese AI-generated text. Makes robotic AI writing natural and human-like with 6 specialized writing style transforms.

NEW in v1.1: Style transforms (知乎/小红书/公众号/口语化/学术/文艺), enhanced detection (16 patterns), emotional analysis

Quick Start

bash

# Detect AI patterns (16 categories)
python scripts/detect_cn.py text.txt

# Humanize text
python scripts/humanize_cn.py text.txt -o clean.txt

# Scene-specific humanization
python scripts/humanize_cn.py text.txt --scene social  # Social media
python scripts/humanize_cn.py text.txt --scene tech    # Tech blog
python scripts/humanize_cn.py text.txt --scene formal  # Formal article

# NEW: Apply writing styles
python scripts/humanize_cn.py text.txt --style zhihu -o zhihu.txt
python scripts/humanize_cn.py text.txt --style xiaohongshu -o xhs.txt
python scripts/style_cn.py text.txt --style casual -o casual.txt

# List all available styles
python scripts/style_cn.py --list

# Compare before/after
python scripts/compare_cn.py text.txt -o clean.txt

Detection Categories

The analyzer checks for 16 pattern categories specific to Chinese AI text (v1.1 added 4 new patterns):

Critical (Immediate AI Detection)

Category	Examples
Three-Part Structure	首先...其次...最后, 一方面...另一方面
Mechanical Connectors	值得注意的是, 综上所述, 不难发现
Empty Grand Words	赋能, 闭环, 智慧时代, 数字化转型

High Signal

Category	Examples
AI High-Frequency Words	助力, 彰显, 凸显, 焕发, 深度剖析
Technical Jargon Misuse	解构, 量子纠缠, 光谱 (in non-tech context)
Excessive Rhetoric	对偶句 (>2x), 排比句 (>1x), 引用句 (>4x)

Medium Signal

Category	Examples
Punctuation Overuse	Dense em dashes, excessive semicolons
Obscure Metaphors	Forced, disconnected comparisons
Uniform Paragraphs	Equal-length paragraphs (no rhythm)

Style Signal

Category	Examples
Low Burstiness	Monotonous sentence structure
Low Perplexity	Predictable word choices
Emotional Flatness	NEW Lack of emotional words and expressions
Repetitive Structure	NEW Sentence starters repeat >3 times
Slang Overuse	NEW Internet slang in formal context
Vocabulary Homogeneity	NEW Low diversity in word choice

Writing Style Transforms (NEW in v1.1)

Transform text into 6 specialized Chinese writing styles:

Style	Name	Description	Best For
casual	口语化风格	Like chatting with friends — natural, relaxed	Social media, messaging
zhihu	知乎风格	Rational, in-depth, with personal opinions	Q&A platforms, thoughtful analysis
xiaohongshu	小红书风格	Enthusiastic, emoji-rich, product-focused	Lifestyle sharing, reviews, recommendations
wechat	公众号风格	Storytelling, engaging, relatable	WeChat articles, newsletters
academic	学术风格	Rigorous but not stiff, precise terminology	Academic papers, research reports
literary	文艺风格	Poetic, imagery-rich, metaphorical	Creative writing, essays

Usage

bash

# Apply style directly
python scripts/style_cn.py input.txt --style zhihu -o output.txt

# Combine humanization + style
python scripts/humanize_cn.py ai_text.txt --style xiaohongshu -o natural.txt

# List all styles
python scripts/style_cn.py --list

Style Features

#### Casual (口语化)

Removes formal structure (首先/其次/最后)
Adds colloquial connectors (说实话, 确实, 其实)
Includes tone particles (吧, 呢, 啊)
Light emoji usage

#### Zhihu (知乎)

Personal opinion markers (从我的经验来看, 个人认为)
Data/evidence support (实测发现, 根据XX调研)
Example-driven (举个例子)
Logical but conversational

#### Xiaohongshu (小红书)

Enthusiastic openers (姐妹们！分享一下～)
High emoji density (😊✨💯)
Intensifiers (超级, 巨, 绝绝子, yyds)
Hashtags (#好物分享)
Short paragraphs

#### Wechat (公众号)

Story-driven openings
Questions for engagement (你有没有想过)
Relatable scenarios
Emotional connection

#### Academic (学术)

Removes colloquialisms
Precise terminology
Formal connectors (研究表明, 数据显示)
Reduces emotional expressions

#### Literary (文艺)

Metaphors and imagery
Poetic language
Descriptive phrases (在XX的光影里)
Artistic expressions

Scripts

detect_cn.py — Scan Chinese AI Patterns

bash

python scripts/detect_cn.py essay.txt
python scripts/detect_cn.py essay.txt -j  # JSON output
python scripts/detect_cn.py essay.txt -s  # score only
echo "文本" | python scripts/detect_cn.py

Output:

AI feature statistics (by category)
AI probability score (low/medium/high/very high)
Auto-fixable patterns marked
Perplexity and burstiness indicators

humanize_cn.py — Transform to Human-Like

bash

python scripts/humanize_cn.py essay.txt
python scripts/humanize_cn.py essay.txt -o output.txt
python scripts/humanize_cn.py essay.txt --scene social  # Social media style
python scripts/humanize_cn.py essay.txt -a              # Aggressive mode

Scene Parameters (--scene):

social: Social media (casual, conversational)
tech: Tech blog (professional but approachable)
formal: Formal article (rigorous but natural)
chat: Chat/dialogue (friendly, concise)

Auto-fixes:

Remove three-part structure (首先/其次/最后)
Replace mechanical connectors (值得注意的是 → 注意/要提醒的是)
Simplify empty words (赋能 → 帮助/提升, 闭环 → 完整流程)
Reduce punctuation density (em dash, semicolon)
Control rhetoric frequency (对偶, 排比, 比喻)

Aggressive Mode (-a):

Add colloquial expressions
Inject emotional color
Vary sentence rhythm
Add personal perspective

compare_cn.py — Before/After Analysis

bash

python scripts/compare_cn.py essay.txt
python scripts/compare_cn.py essay.txt --scene tech -o clean.txt

Shows AI feature comparison and score changes before/after transformation.

style_cn.py — Writing Style Transform (NEW)

bash

python scripts/style_cn.py essay.txt --style zhihu -o essay_zhihu.txt
python scripts/style_cn.py blog.txt --style xiaohongshu -o blog_xhs.txt
python scripts/style_cn.py --list  # Show all available styles

Supported styles: casual, zhihu, xiaohongshu, wechat, academic, literary

Transform text into specific Chinese writing styles with style-appropriate vocabulary, tone, and structure.

Workflow

Scan for detection risk:

bash

python scripts/detect_cn.py document.txt

Transform with comparison:

bash

python scripts/compare_cn.py document.txt --scene tech -o document_v2.txt

Verify improvement:

bash

python scripts/detect_cn.py document_v2.txt -s

Manual review for content quality and scene appropriateness

AI Probability Scoring

Rating	Criteria
Very High	Three-part structure, mechanical connectors, or empty grand words present
High	>20 issues OR issue density >3%
Medium	>10 issues OR issue density >1.5%
Low	<10 issues AND density <1.5%

Scene-Specific Guidelines

Social Media (社交媒体)

Style: Casual, conversational, like chatting with friends

✅ Short paragraphs (1-3 sentences)
✅ Colloquial expressions (说实话, 没想到, 真的绝了)
✅ Specific details (product names, locations, personal feelings)
✅ Emoji and hashtags
❌ Avoid: 值得注意的是, 总而言之
❌ Avoid: Long paragraphs, complex sentences

Tech Blog (技术博客)

Style: Professional but approachable, can be humorous

✅ Specific tech stack, tool names
✅ Code examples, performance data
✅ Real experiences ("踩过的坑", "实测效果")
✅ Clear structure with headings (not numbered lists)
❌ Avoid: 赋能, 闭环, 生态
❌ Avoid: 首先/其次/最后structure

Formal Article (正式文章)

Style: Objective, rigorous, but natural

✅ Clear logic with proper evidence
✅ Precise academic expressions
✅ Cited research sources
✅ Data and charts supporting arguments
❌ Avoid: Excessive rhetoric (对偶, 排比)
❌ Avoid: Empty grand words

Chat/Dialogue (对话场景)

Style: Friendly, patient, genuine

✅ Concise, targeted responses
✅ Empathy and understanding
✅ Direct solutions
✅ Moderate emoji use
❌ Avoid: 很高兴为您服务 (template phrases)
❌ Avoid: Lengthy explanations, repetitive questions

Customizing Patterns

Edit scripts/patterns_cn.json to add/modify:

ai_vocabulary_cn — Chinese AI high-frequency words
filler_phrases_cn — Clichés and replacements
empty_words_cn — Empty grand vocabulary
rhetoric_limits — Rhetoric frequency limits
scene_styles — Scene-specific style configs

Batch Processing

bash

# Scan all files
for f in *.txt; do
  echo "=== $f ==="
  python scripts/detect_cn.py "$f" -s
done

# Transform all markdown (tech blog style)
for f in *.md; do
  python scripts/humanize_cn.py "$f" --scene tech -o "${f%.md}_clean.md"
done

Reference

Based on comprehensive Chinese AI writing research:

Tencent News: "Deconstructing 'AI Flavor': Why We Dislike AI Writing"
53AI: "Detection and Optimization of Article 'AI Flavor'"
AIGCleaner and other Chinese de-AI tools
Wikipedia: "Signs of AI Writing" (English reference)

Key insights:

Perplexity: AI text has low perplexity (predictable word choices)
Burstiness: AI text has low burstiness (uniform sentence structure)
Emotion: AI text lacks strong opinions and personal color

Installation

Terminal bash


openclaw install humanize-chinese

Copied!

💻Code Examples

python scripts/compare_cn.py text.txt -o clean.txt

python-scriptscomparecnpy-texttxt--o-cleantxt.txt

---

## Detection Categories

The analyzer checks for **16 pattern categories** specific to Chinese AI text (v1.1 added 4 new patterns):

### Critical (Immediate AI Detection)
| Category | Examples |
|----------|----------|
| Three-Part Structure | 首先...其次...最后, 一方面...另一方面 |
| Mechanical Connectors | 值得注意的是, 综上所述, 不难发现 |
| Empty Grand Words | 赋能, 闭环, 智慧时代, 数字化转型 |

### High Signal
| Category | Examples |
|----------|----------|
| AI High-Frequency Words | 助力, 彰显, 凸显, 焕发, 深度剖析 |
| Technical Jargon Misuse | 解构, 量子纠缠, 光谱 (in non-tech context) |
| Excessive Rhetoric | 对偶句 (>2x), 排比句 (>1x), 引用句 (>4x) |

### Medium Signal
| Category | Examples |
|----------|----------|
| Punctuation Overuse | Dense em dashes, excessive semicolons |
| Obscure Metaphors | Forced, disconnected comparisons |
| Uniform Paragraphs | Equal-length paragraphs (no rhythm) |

### Style Signal
| Category | Examples |
|----------|----------|
| Low Burstiness | Monotonous sentence structure |
| Low Perplexity | Predictable word choices |
| Emotional Flatness | **NEW** Lack of emotional words and expressions |
| Repetitive Structure | **NEW** Sentence starters repeat >3 times |
| Slang Overuse | **NEW** Internet slang in formal context |
| Vocabulary Homogeneity | **NEW** Low diversity in word choice |

---

## Writing Style Transforms (NEW in v1.1)

Transform text into 6 specialized Chinese writing styles:

| Style | Name | Description | Best For |
|-------|------|-------------|----------|
| `casual` | 口语化风格 | Like chatting with friends — natural, relaxed | Social media, messaging |
| `zhihu` | 知乎风格 | Rational, in-depth, with personal opinions | Q&A platforms, thoughtful analysis |
| `xiaohongshu` | 小红书风格 | Enthusiastic, emoji-rich, product-focused | Lifestyle sharing, reviews, recommendations |
| `wechat` | 公众号风格 | Storytelling, engaging, relatable | WeChat articles, newsletters |
| `academic` | 学术风格 | Rigorous but not stiff, precise terminology | Academic papers, research reports |
| `literary` | 文艺风格 | Poetic, imagery-rich, metaphorical | Creative writing, essays |

### Usage

python scripts/style_cn.py --list

python-scriptsstylecnpy---list.txt

### Style Features

#### Casual (口语化)
- Removes formal structure (首先/其次/最后)
- Adds colloquial connectors (说实话, 确实, 其实)
- Includes tone particles (吧, 呢, 啊)
- Light emoji usage

#### Zhihu (知乎)
- Personal opinion markers (从我的经验来看, 个人认为)
- Data/evidence support (实测发现, 根据XX调研)
- Example-driven (举个例子)
- Logical but conversational

#### Xiaohongshu (小红书)
- Enthusiastic openers (姐妹们！分享一下～)
- High emoji density (😊✨💯)
- Intensifiers (超级, 巨, 绝绝子, yyds)
- Hashtags (#好物分享)
- Short paragraphs

#### Wechat (公众号)
- Story-driven openings
- Questions for engagement (你有没有想过)
- Relatable scenarios
- Emotional connection

#### Academic (学术)
- Removes colloquialisms
- Precise terminology
- Formal connectors (研究表明, 数据显示)
- Reduces emotional expressions

#### Literary (文艺)
- Metaphors and imagery
- Poetic language
- Descriptive phrases (在XX的光影里)
- Artistic expressions

---

## Scripts

### detect_cn.py — Scan Chinese AI Patterns

echo "文本" | python scripts/detect_cn.py

echo---python-scriptsdetectcnpy.txt

**Output:**
- AI feature statistics (by category)
- AI probability score (low/medium/high/very high)
- Auto-fixable patterns marked
- Perplexity and burstiness indicators

### humanize_cn.py — Transform to Human-Like

python scripts/humanize_cn.py essay.txt -a # Aggressive mode

python-scriptshumanizecnpy-essaytxt--a--aggressive-mode.txt

**Scene Parameters (--scene):**
- `social`: Social media (casual, conversational)
- `tech`: Tech blog (professional but approachable)
- `formal`: Formal article (rigorous but natural)
- `chat`: Chat/dialogue (friendly, concise)

**Auto-fixes:**
- Remove three-part structure (首先/其次/最后)
- Replace mechanical connectors (值得注意的是 → 注意/要提醒的是)
- Simplify empty words (赋能 → 帮助/提升, 闭环 → 完整流程)
- Reduce punctuation density (em dash, semicolon)
- Control rhetoric frequency (对偶, 排比, 比喻)

**Aggressive Mode (-a):**
- Add colloquial expressions
- Inject emotional color
- Vary sentence rhythm
- Add personal perspective

### compare_cn.py — Before/After Analysis

python scripts/compare_cn.py essay.txt --scene tech -o clean.txt

python-scriptscomparecnpy-essaytxt---scene-tech--o-cleantxt.txt

Shows AI feature comparison and score changes before/after transformation.

### style_cn.py — Writing Style Transform (NEW)

python scripts/style_cn.py --list # Show all available styles

python-scriptsstylecnpy---list--show-all-available-styles.txt

**Supported styles:** casual, zhihu, xiaohongshu, wechat, academic, literary

Transform text into specific Chinese writing styles with style-appropriate vocabulary, tone, and structure.

---

## Workflow

1. **Scan** for detection risk:

example.sh

# Detect AI patterns (16 categories)
python scripts/detect_cn.py text.txt

# Humanize text
python scripts/humanize_cn.py text.txt -o clean.txt

# Scene-specific humanization
python scripts/humanize_cn.py text.txt --scene social  # Social media
python scripts/humanize_cn.py text.txt --scene tech    # Tech blog
python scripts/humanize_cn.py text.txt --scene formal  # Formal article

# NEW: Apply writing styles
python scripts/humanize_cn.py text.txt --style zhihu -o zhihu.txt
python scripts/humanize_cn.py text.txt --style xiaohongshu -o xhs.txt
python scripts/style_cn.py text.txt --style casual -o casual.txt

# List all available styles
python scripts/style_cn.py --list

# Compare before/after
python scripts/compare_cn.py text.txt -o clean.txt

example.sh

# Apply style directly
python scripts/style_cn.py input.txt --style zhihu -o output.txt

# Combine humanization + style
python scripts/humanize_cn.py ai_text.txt --style xiaohongshu -o natural.txt

# List all styles
python scripts/style_cn.py --list

example.sh

python scripts/detect_cn.py essay.txt
python scripts/detect_cn.py essay.txt -j  # JSON output
python scripts/detect_cn.py essay.txt -s  # score only
echo "文本" | python scripts/detect_cn.py

example.sh

python scripts/humanize_cn.py essay.txt
python scripts/humanize_cn.py essay.txt -o output.txt
python scripts/humanize_cn.py essay.txt --scene social  # Social media style
python scripts/humanize_cn.py essay.txt -a              # Aggressive mode