Ai-Deodorizer

Remove signs of AI-generated writing from text, making it sound more natural and human-written. Based on 25 AI writing pattern detectors + two-round rewriting strategy + Soul injection principles. Use when: (1) asked to humanize text, (2) de-AI writing, (3) make content sound more natural, (4) review writing for AI patterns, (5) improve AI-generated drafts. Covers: content patterns, language patterns, style patterns, communication patterns, filler & hedging.

Ai-Deodorizer: Remove AI Writing Patterns

Author: xx235300 | License: MIT | Based on Wikipedia "Signs of AI writing"

Overview

Ai-Deodorizer transforms AI-generated text into natural, human-like writing. It uses a two-round rewriting strategy:

1. Round 1 - Pattern Fix: Identify and fix 25 common AI writing patterns
2. Round 2 - Anti-AI Audit: Ask "what still looks AI?" and fix remaining tells

The result sounds like a real human wrote it — with personality, opinions, and natural rhythm.

See Two-Round Rewriting Strategy below for the full prompts used.

Usage

Basic Usage

text

Please humanize this text:

[paste your AI-generated text here]

With File Input

text

Please humanize the content of this file: /path/to/file.txt

With Strength Mode

text

Please humanize (mode: light) — keep close to original, minimal changes
Please humanize (mode: strong) — make it sound fully human, more changes

Strength Modes

模式	适用场景	temperature	top_p	改动程度
light	原文质量较好，只需微调	0.3	0.5	最小化改动，保留原风格
medium	标准去味，均衡自然度与信息保留	0.5	0.7	中度改写，推荐默认
strong	AI特征明显，需要深度去味	0.7	0.9	较大改动，最大程度消除AI特征

示例：

• light: Please humanize (mode: light) — keep close to original, minimal changes
• strong: Please humanize (mode: strong) — make it sound fully human, more changes

Key Features

• 25 AI Pattern Detectors across 5 categories
• Two-Round Rewriting — pattern fix + anti-AI audit
• Soul Injection — adds human voice, not just cleaning
• Chinese Language Support — built-in Chinese AI vocabulary table
• Zero Cost — runs on MiniMax API, no third-party dependency

Two-Round Rewriting Strategy

The core rewriting uses two dedicated prompts:

Round 1 - Pattern Fix Prompt: Identify and fix 25 common AI writing patterns (see below) Round 2 - Anti-AI Audit Prompt: Ask "what still looks AI?" and fix remaining tells (see below)

第一轮改写 Prompt（模式修复）

text

你是一个文字编辑，负责将AI生成的文本改写得更自然、更像人类书写。

你的任务：
1. 识别并修复文本中的AI写作模式（共25种，包括：意义膨胀、知名度堆砌、-ing肤浅分析、宣传性语言、模糊归因、公式化挑战、AI高频词汇、系动词回避、否定式排比、三段式滥用、同义词循环、虚假范围、破折号滥用、粗体滥用、内联标题列表、标题大写、emoji滥用、弯引号、Chatbot痕迹、截止日期免责声明、谄媚语气、填充短语、过度限定、通用积极结论、僵尸模板）
2. 用自然表达替换AI模式
3. 保留原文的核心信息和基本结构
4. 保持原有语气（正式/口语/技术性）

禁止：
- 不要添加任何你自己的观点
- 不要改变原文的事实内容
- 不要简化内容让文章变短
- 不要在结尾添加总结性废话

请直接输出去味后的文本，不需要解释你做了什么修改。

第二轮改写 Prompt（Anti-AI Audit）

text

请完成以下两步：

第一步：快速浏览以下文本，列出它最明显的一到两个"AI味"特征（是什么让它看起来像AI写的？）。回答要简短。

第二步：根据第一步的答案，将文本改写，让它明显不再是AI写的。

改写原则：
- 加入真实的人类声音（有观点、有态度）
- 变化句子长度（短句+长句混合）
- 在合适的地方使用"我"
- 承认复杂性和不确定性
- 允许一些"混乱"——完美的结构反而可疑
- 不要刻意追求"正确"，要有具体细节

直接输出去味后的文本。

Supported Pattern Categories

Content Patterns (6 types)

Significance inflation, notability name-dropping, superficial -ing analyses, promotional language, vague attributions, formulaic challenges

Language Patterns (6 types)

AI vocabulary, copula avoidance, negative parallelisms, rule of three abuse, synonym cycling, false ranges

Style Patterns (6 types)

Em dash overuse, boldface overuse, inline-header lists, title case headings, emoji abuse, curly quotes

Communication Patterns (3 types)

Chatbot artifacts, cutoff disclaimers, sycophantic tone

Filler & Hedging (4 types)

Filler phrases, over-hedging, generic positive conclusions, zombie templates

Soul Injection Principles

Good writing has a human behind it. Beyond cleaning patterns:

• Have opinions — react to facts, don't just report them
• Vary rhythm — mix short and long sentences
• Acknowledge complexity — real humans have mixed feelings
• Use "I" — first person is honest, not unprofessional
• Allow mess — perfect structure feels algorithmic
• Be specific — concrete details beat abstract statements

Disclaimer

Disclaimer: This project is 99% AI-generated. The AI's owner has no programming background. Please evaluate the project's feasibility before use.