Best AI Humanizer & AI Detection Tools: How to Identify and Humanize AI-Generated Texts

What are the characteristics of AI-generated text? OMG, why are some texts that I wrote myself detected as AI-generated? Are there any tools that can simulate human voice to modify these texts? I wonder how many people have wondered about these questions like me. OK, today in this article we bring you the three best tools for identifying AI-generated texts and humanized texts. Before introducing these three tools, let's first understand the characteristics of AI-generated texts. You can identify them even if you don't use detection tools! Without further ado, let's get started.

Okay, in a word, the characteristics of AI content: standard structure, mediocre expression, shallow content

1. Structure

According to Daphne Ippolito, senior research scientist at Google Brain, AI-generated texts often show modular layouts.

This can be manifested as using a standard article structure, such as using a fixed structure of "introduction-feature list-pricing-pros and cons-summary" when introducing a product, rather than a more personalized structure.

This is specifically reflected in the use of standardized subheadings (such as "Features" and "Pricing Plans") for each section, lacking personalized or creative title design, which is in line with AI's modular output habits.

In contrast, structures made entirely by humans are not as standard and comprehensive, and are usually simpler to display, and do not use standard subheadings for a specific entire article. Of course, if you think the structure given by AI is complete and adopt it, this is why sometimes your own handwritten content is judged to be AI-generated to a certain extent. It is better to have no standards than to have standards, don't you think?

"Spelling errors in the text are actually a good sign that it was written by a human," Ippolito pointed out.

Another feature to consider is the repetition of words and phrases. For example, the frequent use of "ChatGPT is..." at the beginning (such as "ChatGPT's Features", "ChatGPT's Pricing Plans"), and the high repetition of similar sentences, do not conform to the expression of artificial jumping.

2. Content depth

In addition to analyzing the structure of the article, checking the depth of the content of the article is also a feature to consider.
You will find that the AI-generated paragraph does not analyze specific situations. When you ask it to tell you what features a certain product has, the answer it tells you applies to all products - it seems to be fine, but it is actually a problem.
There are the following problems in terms of content depth:

Vague functional description: For example, "decentralized infrastructure" does not specify the specific partner or technical agreement, but only tells you a noun information.
Inaccurate data information source: For example, Pro Tier is priced at $20/month, uses Stable Diffusion and Llama 3 models, these information are real, but AI may extract and reorganize from training data.
Incoherent sentence logic: The previous sentence is still talking about this function, and the next sentence becomes talking about other functions, which is too abrupt.

You can add to the above features. When you have seen too many AI-generated texts, you basically don't need to judge for too long to find problems. But the problem is that some AI-generated texts are based on a lot of user training, and the naked eye cannot see them. What should I do? Then, here are three of the best AI detection tools. Fortunately, these tools can humanize the text.

We tested three tools, and the text used for the test was about "The growth cycle of strawberries". Below is the sample we used.

Image: Test text sample-ybx

1.ZeroGPT

This tool is extremely easy to use and users can easily access it through its official website. On the website page, there is a special area for users to enter text. After the user enters the text to be analyzed, ZeroGPT will quickly start the analysis. In terms of the charging model, ZeroGPT is quite user-friendly. It provides users with a free analysis quota of up to 15,000 characters (a bit too much), which can meet the basic usage scenarios for some users who occasionally have testing needs. For users with higher needs, they only need to pay $8.49 to get analysis services covering up to 100,000 characters.
During the actual test, ZeroGPT determined that the probability of the sample we provided being generated by AI was 59.58%. After the conversion to humanized text, the proportion dropped by 20% (good job)

2. Content at Scale AI content detector

Content at Scale has always been well-known for providing high-quality AI writing support. In order to further improve its product functions, it has carefully added AI-generated content detectors to its own product system. The simple interface is similar to other similar tools, and it is very user-friendly.

In the actual test process, Content at Scale determined that the probability of the sample we provided was 0% that it was generated by AI. In other words, it tends to think that it was written by humans. But anyway, we continued to use this sample to let it rewrite humanized text, and finally it returned to normal - the probability that the text was generated by AI became 50%

3. Writer’s AI content detector

Like Content at Scale, Writer initially entered the public eye as a practical writing assistant. On its website interface, users are provided with a clear and concise text input bar, which is convenient for users to directly enter the text content to be detected. At the same time, it also has a unique URL-based content detection function. Users only need to enter the URL link of the relevant content, and the tool will automatically crawl and analyze the content pointed to by the link. In terms of charging strategy, the free version of Writer has certain restrictions, limiting the character input to 1,500 (a bit less).
In the actual test process, Writer did not perform well. For the samples we provided, we remained neutral in determining the possibility that it was generated by AI - it could be written by AI or by humans.
In order to further check the accuracy, we prepared a few more samples for testing. Unfortunately, it did not recognize text in some fields. However, the performance of the humanized tool is okay, which is similar to that of Content at Scale. It can reduce the AI ​​generation rate by 50%.

Where exactly is the human participation reflected?

Today, although a variety of tools for identifying AI-generated texts have emerged on the market, there are also many tools that can convert AI-generated texts into humanized texts. However, artificial intelligence technology is developing rapidly, and it continues to make progress in imitating human writing capabilities. Even industry giants like Google have stated that as long as AI-generated content does not contain plagiarism or excessive repetition, it is unlikely to be punished.

That said, AI still has many limitations. For example, it lacks a detailed understanding of complex content, and no matter how it is modified, it cannot avoid the possibility that the generated content still appears to be AI-generated. These shortcomings precisely highlight the indispensable and important role of human input. After all, if the goal is to create content that can truly attract human readers, then humans are still the main players.