Turnitout-Humanizer README

The project's README from github.com/AhmadHassan-BTed/Turnitout-Humanizer. As one markdown file: README.md.

Turnitout Logo

Turnitout — Plagiarism & AI Footprint Removal Engine

Official Website & Manifesto Launch Live App Engine: v1.9.2 Safety: 100% Zero AI WhatsApp Support

🔥 2026 THREAT ERASURE PROTOCOLS ACTIVE 🔥
Claude Watermarks: Destroyed SynthID Hashes: Shattered Zero-Width Characters: Purged C2PA Metadata: Stripped EU AI Act Tracers: Bypassed

The world's first 100% programmatic, zero-generative-AI footprint removal engine. Mathematically shatter cryptographic token trackers, purge invisible zero-width Unicode, and strip C2PA metadata. Bypass Turnitin, GPTZero, CopyLeaks, and ZeroGPT on academic papers, LaTeX manuscripts, Word documents, and multi-language source code files—without altering facts, document layout, equations, or executable code logic.


🚨 URGENT: HOW TO REMOVE AI WATERMARKS (CLAUDE, SYNTHID, CHATGPT) & BEAT THE 2026 TRACKING CRISIS 🚨 To comply with the EU AI Act (Article 50), OpenAI (ChatGPT), Anthropic (Claude), and Google (Gemini) now embed multi-layered tracking: invisible zero-width Unicode (crashing code/triggering detectors), hidden C2PA metadata, and cryptographic text watermarks like Google SynthID-Text. LLM paraphrasers cannot remove this footprint or are Highly Expensive! Turnitout solves this deterministically, guaranteeing to remove Claude watermarks, bypass SynthID, purge hidden Unicode, and strip C2PA metadata. By shattering n-gram sequences, it wipes the tracking footprint while keeping your code, LaTeX, and document formatting 100% intact.


🌟 Access Turnitout Live Now

Turnitout Web Interface

Server Node 1 Server Node 2 Server Node 3 Server Node 4 Main Server Heart

Cluster Mirror Access URL Status Description
⚡ Server Node 1 turnitout1.streamlit.app 🟢 Active High-speed dedicated cluster mirror
🚀 Server Node 2 turnitout2.streamlit.app 🟢 Active High-speed dedicated cluster mirror
🌟 Server Node 3 turnitout3.streamlit.app 🟢 Active High-speed dedicated cluster mirror
🔥 Server Node 4 turnitout4.streamlit.app 🟢 Active High-speed dedicated cluster mirror
❤️ Main Server (Heart) turnitout.streamlit.app 🟢 Active Resilient cluster anchor & active heart

🔒 100% Privacy Guarantee: All documents and source code files are processed transiently in-memory. Zero document logging, zero server storage, zero data retention.


💡 Why Turnitout?

Commercial AI humanizers use LLMs to rewrite text, leaving new AI footprints, hallucinated facts, and cryptographic trackers intact.

Turnitout does NOT use AI. It is a 100% programmatic, rule-based engine that mathematically disrupts contiguous n-gram sequences to evade detectors (Turnitin, iThenticate, GPTZero, CopyLeaks) while leaving equations, code logic, citation indexes, and complex document layouts entirely untouched.


📊 Commercial AI Tool Comparison

Feature / Guarantee 🤖 Commercial AI Humanizers 🛡️ Turnitout Engine
New AI Footprint Risk ❌ High (Generates new AI patterns) ✅ 0% (100% Rule-Based)
Cryptographic Tracker Wipe (SynthID) ❌ Fails (Preserves statistical tracking) ✅ 100% (Shatters mathematical sequence)
Zero-Width Unicode Purge ❌ Fails (Ignores hidden U+200B spaces) ✅ 100% (Deep regex character scrubbing)
Fact & Data Preservation ❌ Frequent Hallucinations ✅ Zero (Facts & Numbers Stay Exact)
Document Layout Preservation ❌ Destroys tables, XML & formatting ✅ Preserves XML, Fonts & Headers
Source Code Safety ❌ Breaks code syntax & logic ✅ 100% Executable Logic Guarantee
LaTeX & Math Protection ❌ Destroys \cite{}, equations ✅ Keeps LaTeX & Equations Untouched
Reference Generation ❌ None ✅ BibTeX (.bib), LaTeX & JSON Generator

🚀 Core Capabilities & Product Features

┌────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│                                       TURNITOUT PRODUCT CAPABILITIES                                   │
├───────────────────────────────┬───────────────────────────────┬───────────────────────────────┬────────┤
│ 🚨 Watermark & Tracker Wipe   │   Code Comment Humanizer      │   Citation & Reference Gen    │    ZIP │
│  - Shatters Claude SynthID    │  - Python, C++, Java, JS, SQL │  - IEEE [1] & APA (Author)    │  - DOCX│
│  - Purges Zero-Width Unicode  │  - Developer Skill Personas   │  - BibTeX (.bib) Generator    │  - TEX │
│  - Strips C2PA Metadata       │  - Single-Line Comment Safety │  - 5 Academic Taxonomies      │  - Code│
└───────────────────────────────┴───────────────────────────────┴───────────────────────────────┴────────┘

⚡ 1. The Core Engine: Zero-AI & Mathematically Ruthless

💻 2. Code Comment & Docstring Humanizer

📚 3. Auto-Citation & Reference Generator

🔒 4. Total Privacy, Bulk Workflows & Evasion Verification


🛠️ High-Level Engine Architecture Overview

┌─────────────────────────────────────────────────────────────────────────────────────────┐
│                               TURNITOUT ENGINE ARCHITECTURE                             │
├─────────────────────────────────────────────────────────────────────────────────────────┤
│  [ UI Layer ]               Streamlit Multi-Page Web App & Real-Time Dashboard          │
│  [ Authentication Layer ]   OAuth 2.0 & Triple-Layer Auth Persistence Engine            │
│  [ Parsing Layer ]          XML DOCX Parser, LaTeX Zone Parser & Code Tokenizer         │
│  [ Rule Transformation ]    15-Stage Pipeline (Synonym, Voice, Clause, N-Gram Audit)    │
│  [ Rules Repository ]       4,068+ Decoupled JSON Rules & Academic Discipline Taxonomy  │
│  [ Language Engines ]       String-Aware Rules for Python, C-Family, Shell, SQL & HTML  │
│  [ Verification Layer ]     ZipPy Entropic Perplexity & Evasion Verification            │
└─────────────────────────────────────────────────────────────────────────────────────────┘

The platform is designed around strict asset decoupling and modular language rule pipelines:


📁 Supported File Formats


🤝 Support, Enterprise Deployment & Custom Disciplines


🔒 Compliance & Security


Built with ❤️ by Ahmad Hassan for researchers, developers, students, and academics worldwide.

Turnitout-Humanizer (AhmadHassan-BTed/Turnitout-Humanizer)

humanizer
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What is this?Turnitout is a rule-based engine that strips AI-detector watermarks and plagiarism-similarity signals from documents and code so they pass Turnitin, iThenticate, GPTZero, CopyLeaks, and ZeroGPT, without using any generative AI itself.
Is this an AI humanizer tool, or something else?It is explicitly not an AI tool: it is a deterministic, hard-coded rewriting engine delivered as a hosted Streamlit web app, with zero LLM calls involved.
How do I actually use it?Open one of the mirror links in a browser (e.g. turnitout.streamlit.app) and drop in a .docx, .tex, .md, .txt, source-code file, or a whole .zip; it processes everything in-memory and gives you a download back.
Do I need to install anything locally to use it?No, it is browser-only: you just visit one of the hosted streamlit.app mirrors, with no Python setup, API key, or software install required on your side.
Does it ever touch my code logic, equations, or citations?No. It only rewrites natural-language comments, docstrings, and prose sections like the Abstract or Conclusion; code syntax, variables, LaTeX equations, and citation tags are explicitly locked out.
Who is this built for?Students, researchers, developers, and academics who need papers, LaTeX manuscripts, or source code to pass plagiarism and AI-detection checks.
What happens to my files after I upload them?Nothing persists: documents and code are processed transiently in memory with no logging, storage, or retention on the server.
What file formats does it support?Microsoft Word (.docx), LaTeX (.tex), plain text/Markdown (.txt, .md), source code in Python, C/C++, Java/C#, JS/TS, Go/Rust, SQL, Bash, HTML/CSS, and bulk .zip archives of files.
What is the Code Comment Humanizer?It rewrites only natural-language comments and docstrings into one of three developer personas (beginner, intermediate, senior jargon) while keeping variables, syntax, and logic completely untouched.
What does the Auto-Citation Generator do?Given your academic major and how many references you need, it drops contextual citations into your text and exports matching BibTeX (.bib), LaTeX \cite{} tags, and JSON across 5 taxonomies (CS/AI, Engineering, Math, Finance, Medical).
Why doesn't it just use an LLM to rewrite the text like other humanizers?Commercial LLM humanizers leave new statistical AI footprints and cryptographic watermarks like SynthID intact. Turnitout instead deterministically shatters n-gram sequences with rules, so it adds no new AI fingerprint at all.
Size
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Updated
CommitOct 19
Age
3mo
Commits · 90 Days