Best AI Detector & Humanizer: Humanize AI Text and Bypass AI Detection with Humbot

Nicolai Nielsen
21 May 202408:37

TLDRThis video explores the use of 'Humbot AI', an AI detector and humanizer, to enhance research by making AI-generated text more human-like and bypass AI detection systems. The host demonstrates how to utilize this tool with chatbots like Chat GPT and Gemini, starting with researching the Transformer architecture from a Wikipedia page. They show the process of copying text, humanizing it with AI, and then testing it with various AI detectors to ensure it appears human-written. The video emphasizes the importance of not using these tools for cheating but for improving efficiency in content creation and research.


  • πŸ˜€ Humbot AI is a tool designed to detect and humanize AI-generated text, helping to bypass AI detection systems.
  • πŸ” The tool can be utilized for research purposes, allowing users to generate more human-like summaries and notes from AI outputs.
  • πŸ“š The video demonstrates using Wikipedia's information on the Transformer architecture, a fundamental component of modern language models, as an example for research.
  • πŸ’» The process involves copying text from a source, such as a Wikipedia page, and then using AI to summarize and humanize the content.
  • πŸ“ AI-generated responses from Chatbot are initially very robotic and not ideal for direct use as notes.
  • πŸ€– AI detectors like Originality AI, GPT Zero, and Serp DBot are used to analyze the human-likeness of the text and its potential to bypass detection.
  • πŸ“‰ The initial AI-generated text from Chatbot scored low on human-likeness, with a 38% human score and was flagged by various AI detectors.
  • πŸ“ˆ After humanizing with Humbot AI, the text's human score improved significantly, allowing it to pass AI detection tests more effectively.
  • πŸ“ Humbot AI's humanization process reformats and rephrases the text, making it more readable and less AI-like.
  • 🚫 The video advises against using such tools for unethical purposes like cheating in academic papers or assignments.
  • πŸŽ“ The presenter also mentions an AI career program aimed at teaching individuals how to secure jobs and freelance work in the AI industry.

Q & A

  • What is the main purpose of using Humbot AI as described in the video?

    -Humbot AI is used as an AI detector and humanizer to make AI-generated text appear more human-like, which can help bypass AI detection systems. It can also be used for research, summarizing content, and making notes more readable.

  • What is the Transformer architecture mentioned in the video?

    -The Transformer architecture is a type of deep learning model that serves as the foundation for many language models, including AI detectors and generators like Chat GBT, Gemini, and others.

  • How does the video suggest using Chat GBT for research?

    -The video suggests using Chat GBT to generate summaries and notes from complex information sources like Wikipedia pages, making the research process more efficient and the output more digestible.

  • What is the significance of the AI content detectors mentioned in the video?

    -AI content detectors are tools used to identify whether a text is generated by AI or written by a human. They are important for ensuring the authenticity and originality of content, especially in academic and professional settings.

  • How can the output from Chat GBT be improved to appear more human-like?

    -The output from Chat GBT can be improved by using Humbot AI to humanize the text. This process involves reformatting and rephrasing the text to make it sound more natural and less robotic.

  • What does the video suggest about the effectiveness of Humbot AI in bypassing AI detectors?

    -The video demonstrates that after humanizing the text with Humbot AI, the output scores higher on human-like metrics in AI detectors, indicating that it is more effective at bypassing AI detection.

  • What is the role of 'originality AI' in the process described in the video?

    -Originality AI is used to scan the text and determine its originality score, which helps in assessing how much of the text is AI-generated and how much is unique or human-written.

  • How does the video recommend verifying the effectiveness of Humbot AI's humanizing process?

    -The video recommends manually verifying the effectiveness of Humbot AI's humanizing process by running the humanized text through various AI detectors to see if it can pass as human-written.

  • What ethical considerations are mentioned in the video regarding the use of these tools?

    -The video emphasizes not to use these tools for cheating, such as in academic papers or school assignments, but rather to use them to improve efficiency and make AI-generated text more human-like for legitimate purposes.

  • What additional resources does the video mention for those interested in AI and looking to advance their skills?

    -The video mentions an AI career program that offers technical courses, weekly live calls, and personal help for those looking to land AI jobs or get freelance work in the field.



πŸ” Research with AI: Humanizing Chatbot Responses

This paragraph introduces the video's focus on utilizing AI to enhance research and humanize chatbot responses. The tool 'hbot AI' is highlighted as a means to bypass AI detectors and improve the naturalness of AI-generated content. The process involves taking information from a Wikipedia page on the Transformer architecture, a fundamental component of many AI models, and using 'chat DT' to summarize and humanize the content. The goal is to make the content more digestible and useful for research purposes, such as studying for exams or exploring new topics, without the tedium of reading extensive AI-generated text.


πŸ› οΈ Testing and Enhancing AI Content with Humanization Tools

The second paragraph delves into the practical application of AI content detectors and humanizers. The speaker demonstrates how to use these tools to test and improve the human-like quality of AI-generated text. By running the text through various detectors like 'originality AI', 'gbt Z', 'Ser DBT', and 'Winston AI', the content is evaluated for its AI-generated characteristics. The 'humbard AI' tool is then used to humanize the text, improving its readability and ability to bypass AI detectors. The results show a significant increase in the human-like score, making the content more suitable for use in academic and professional settings, while also emphasizing the ethical use of these tools for efficiency rather than deception.



πŸ’‘AI Detector

An AI Detector is a software tool designed to analyze and identify whether a piece of content is generated by artificial intelligence or written by a human. In the video, the AI Detector is used to evaluate the authenticity of the text generated by the AI tool 'Chatbot AI'. The script mentions using AI Detectors like 'Originality AI' and 'GPT Zero' to test the human-likeness of the content, which is crucial for bypassing plagiarism checks and ensuring originality.


A Humanizer is a tool that modifies AI-generated text to make it appear more human-like, thereby improving readability and potentially evading AI detection systems. The video discusses using 'Humbot AI' as a Humanizer to process the responses from 'Chatbot AI', aiming to make the AI-generated content seem more natural and less robotic, which is essential for research and content creation purposes.

πŸ’‘Chatbot AI

Chatbot AI, as mentioned in the script, is a hypothetical AI tool that can be used for both detecting AI-generated content and humanizing it. The video demonstrates using Chatbot AI to generate responses and then humanizing those responses to make them more palatable for human readers, which is a key process in the video's narrative.

πŸ’‘Transformer Architecture

The Transformer Architecture is a type of deep learning model that is foundational to many modern language processing models, including AI detectors and generators. The script describes researching the Transformer architecture, which is the underlying technology for the AI models discussed in the video, by extracting and summarizing information from a Wikipedia page.

πŸ’‘Deep Learning Model

A Deep Learning Model refers to a class of artificial neural network algorithms that are capable of learning and making decisions based on large amounts of data. In the context of the video, the Deep Learning Model is associated with the Transformer architecture, which is the core of the AI tools being discussed, such as 'Chatbot AI' and the AI detectors.


In the video, the term 'Research' is used to describe the process of gathering and analyzing information, particularly from a Wikipedia page about the Transformer architecture. The script outlines using AI tools to assist in this research, making it more efficient by summarizing and humanizing the content for easier comprehension.


Summaries in the video script refer to the condensed versions of the original content that the AI tools are tasked with generating. The purpose of creating summaries is to distill the essential information from the research material, making it more accessible and easier to digest for the viewer or reader.

πŸ’‘Plagiarism Free

Plagiarism Free content is original work that does not copy or closely imitate another person's work without proper attribution. The video emphasizes the importance of using tools like 'Humbot AI' to ensure that the AI-generated content is not flagged by plagiarism detectors, thus maintaining the integrity of the research or content creation.

πŸ’‘Content Generation

Content Generation is the process of creating new material, such as blog posts, articles, or video scripts, often with the help of AI tools. The video script discusses the use of AI for content generation, highlighting the need to humanize the content to make it more engaging and to pass AI detection systems.


Human-Like, in the context of the video, refers to the quality of AI-generated text that closely resembles writing done by a human. The script discusses the importance of making AI-generated text appear more natural and less mechanical to improve its readability and to avoid detection by AI detectors.

πŸ’‘AI Career Program

The AI Career Program mentioned in the video is a course or series of educational offerings designed to teach individuals how to secure jobs or freelance work in the field of artificial intelligence. The script suggests that the program includes technical courses, live calls, and personal assistance to help participants succeed in the AI industry.


Introduction of Humbot AI, a tool for AI detection and humanization.

Use of Humbot AI to bypass AI detection systems and enhance research capabilities.

Demonstration of using chat with AI to generate more human-like responses.

Research on the Transformer architecture, a fundamental component of AI language models.

Utilizing chat AI to automate the process of generating summaries and notes.

Original AI-generated text often flagged by AI detectors as non-human.

Humanization process changes the format and wording to appear more human-like.

Testing AI-generated text with various AI detectors to measure human-likeness.

Originality AI, one of the tools used, identifies a high percentage of AI generation.

GBT Z and Serp DBT are other tools used to detect AI-generated content.

Humbot AI not only detects but also humanizes AI-generated content for better readability.

After humanization, the text's human score increases, improving its ability to bypass AI detectors.

The importance of manually verifying AI detection results for accuracy.

Humanized text is more engaging and easier to read compared to AI-generated text.

Use case of Humbot AI for research, content creation, and bypassing plagiarism checks.

Ethical considerations: Humbot AI should not be used for cheating or academic dishonesty.

Invitation to check out additional tools and resources for AI learning and career development.

Final note on the utility of Humbot AI for making AI-generated text more human-like and efficient.