Humanize AI-generated texts
Humanizer is a Python library that transforms content into a more natural narrative by removing characteristic patterns found in AI-generated texts. This tool, which makes written texts appear as if they were written by a human, aims to make it harder for systems that automatically generate content to be detected.
Updates
- October 18, 2026: Stars 55,180 → 57,962, latest release v3.1.0 (September 28, 2026).
- October 9, 2026: Stars 52,508 → 55,180, latest release v3.1.0 (September 28, 2026).
- September 28, 2026: Stars 52,272 → 52,508, latest release v3.1.0 (September 28, 2026).
- September 27, 2026: Stars 49,735 → 52,272, latest release v3.0.0 (September 6, 2026).
What you get
- Removes AI-specific patterns and repetitions
- Ensures the text is written in a natural and personal tone
- Preserves technical data and code structure in documents
Installation
npx skills add blader/humanizer --globalRunning it
/humanizer
[paste your text here]If you don't write code
Transform the text below into a more natural and human-written narrative by removing expressions that sound like they were written by AI, excessive sales language, and unnecessary filler words. Without changing the technical information, numerical data, and proper nouns in the original text, only make the sentence structure and style more fluent.
Repository: https://github.com/blader/humanizer. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-09-03: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.