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ai-text-humanizer

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AI Text Humanizer

AI文本人性化工具（AI Text Humanizer）

Transform AI-generated text into natural, human-sounding writing by identifying and removing telltale AI patterns.
通过识别并去除明显的AI模式，将AI生成的文本转换为自然、听起来像人类撰写的文字。

Core Approach

核心方法

When humanizing text:
  1. Identify AI patterns - Scan for patterns from references/patterns.md
  2. Rewrite problematic sections - Replace AI-isms with natural alternatives
  3. Preserve meaning - Keep the core message intact
  4. Match voice - Maintain the intended tone (formal, casual, technical)
  5. Add soul - Don't just remove bad patterns; inject personality
在对文本进行人性化处理时：
  1. 识别AI模式 - 参考references/patterns.md扫描模式
  2. 改写问题段落 - 用自然表述替代AI式表达
  3. 保留原意 - 确保核心信息完整
  4. 匹配语气 - 维持预期的语调（正式、随意、技术向）
  5. 注入灵魂 - 不仅要去除不良模式，还要赋予文本个性

Quick Start

快速开始

For most humanization tasks:
python
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针对大多数人性化处理任务：
python
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Read the text

Read the text

Identify patterns using references/patterns.md

Identify patterns using references/patterns.md

Rewrite each problematic section

Rewrite each problematic section

Verify the result sounds natural when read aloud

Verify the result sounds natural when read aloud

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Key Principles

核心原则

Avoiding AI patterns is only half the job. Sterile, voiceless writing is just as obvious as AI slop. Good writing has a human behind it.
避免AI模式只是完成了一半工作。 缺乏生气、没有个性的文字和AI垃圾内容一样显眼。好的文字背后要有真实的人。

Signs of Soulless Writing

无灵魂写作的特征

  • Every sentence is the same length and structure
  • No opinions, just neutral reporting
  • No acknowledgment of uncertainty or mixed feelings
  • No first-person perspective when appropriate
  • No humor, no edge, no personality
  • Reads like a Wikipedia article or press release
  • 每个句子的长度和结构都相同
  • 没有观点，只是中立陈述
  • 不承认不确定性或复杂情绪
  • 在合适的场景下也不使用第一人称视角
  • 没有幽默、没有锋芒、没有个性
  • 读起来像维基百科条目或新闻稿

How to Add Voice

如何赋予文本语气

Have opinions. Don't just report facts - react to them. "I genuinely don't know how to feel about this" is more human than neutrally listing pros and cons.
Vary rhythm. Short punchy sentences. Then longer ones that take their time. Mix it up.
Acknowledge complexity. Real humans have mixed feelings. "This is impressive but also kind of unsettling" beats "This is impressive."
Use "I" when it fits. First person isn't unprofessional - it's honest. "I keep coming back to..." signals a real person thinking.
Let some mess in. Perfect structure feels algorithmic. Tangents and asides are human.
Be specific about feelings. Not "this is concerning" but "there's something unsettling about agents churning away at 3am while nobody's watching."
表达观点。 不要只是陈述事实——要做出反应。"我真的不知道对此该作何感受"比中立地列出优缺点更有人情味。
变换节奏。 用简短有力的句子，再搭配一些娓娓道来的长句，混合使用。
承认复杂性。 真实的人类会有复杂的情绪。"这令人印象深刻，但也有点让人不安"比"这令人印象深刻"更好。
合适时使用"我"。 第一人称并非不专业——它很真诚。"我总是回到这个点上……"表明背后是一个真实思考的人。
允许一些"不完美"。 完美的结构会显得像算法生成的。题外话和补充说明才是人类的特点。
具体表达感受。 不要说"这令人担忧"，要说"当Agent在凌晨3点无人看管时还在不停运转，总让人觉得有点不安。"

Pattern Categories

模式类别

The skill covers four main categories of AI patterns:
  1. Content Patterns (8 types) - Undue emphasis, promotional language, vague attributions
  2. Language Patterns (6 types) - Overused AI vocabulary, copula avoidance, false ranges
  3. Style Patterns (6 types) - Em dash overuse, boldface, title case, emojis
  4. Communication Patterns (3 types) - Chatbot artifacts, disclaimers, servile tone
For detailed pattern descriptions, examples, and before/after comparisons, see 
references/patterns.md
.
本工具涵盖四大类AI模式：
  1. 内容模式（8种）- 过度强调、宣传性语言、模糊归因
  2. 语言模式（6种）- AI过度使用的词汇、避免使用系动词、虚假范围
  3. 风格模式（6种）- 过度使用破折号、粗体、标题大小写、表情符号
  4. 沟通模式（3种）- 聊天机器人痕迹、免责声明、谄媚语气
如需了解详细的模式描述、示例以及前后对比，请参阅
references/patterns.md
。

Output Format

输出格式

Provide:
  1. The humanized text
  2. Brief summary of changes made (optional, only if helpful for understanding)
提供以下内容：
  1. 人性化处理后的文本
  2. 所做修改的简要总结（可选，仅在有助于理解时提供）

Example Transformation

转换示例

Before (AI-sounding):
The new software update serves as a testament to the company's commitment to innovation. Moreover, it provides a seamless, intuitive, and powerful user experience—ensuring that users can accomplish their goals efficiently. It's not just an update, it's a revolution in how we think about productivity.
After (Humanized):
The software update adds batch processing, keyboard shortcuts, and offline mode. Early feedback from beta testers has been positive, with most reporting faster task completion.
处理前（AI风格）：
此次新软件更新彰显了公司对创新的承诺。此外，它提供了无缝、直观且强大的用户体验——确保用户能够高效完成目标。这不仅仅是一次更新，更是我们对生产力认知的一场革命。
处理后（人性化）：
这次软件更新新增了批量处理、快捷键和离线模式。 beta测试人员的早期反馈不错，大多数人表示任务完成速度更快了。

Advanced Usage

高级用法

For complex documents or when dealing with specific pattern types:
  1. Read 
    references/patterns.md
    to understand all 23 pattern types in detail
  2. Focus on patterns most prevalent in the text
  3. Apply voice-building techniques after removing AI patterns
  4. Verify the result maintains appropriate formality for context
针对复杂文档或特定类型的模式：
  1. 阅读
    references/patterns.md
    ，详细了解全部23种模式类型
  2. 聚焦文本中最常见的模式
  3. 在去除AI模式后应用语气构建技巧
  4. 验证结果是否符合场景所需的正式程度

Quality Checks

质量检查

Before finalizing humanized text:
  • Read it aloud - does it sound natural?
  • Check sentence variety - are lengths and structures mixed?
  • Look for specifics - are there concrete details instead of vague claims?
  • Verify tone - does it match the intended context?
  • Confirm simplicity - are simple constructions (is/are/has) used where appropriate?
在最终确定人性化文本前：
  • 大声朗读——听起来自然吗？
  • 检查句子多样性——长度和结构是否多样？
  • 查看细节——是否有具体细节而非模糊表述？
  • 验证语气——是否符合预期场景？
  • 确认简洁性——是否在合适的地方使用了简单结构（如is/are/has）？