Some of the best AI Content Detection Tools
The emergence of advanced AI content detection tools has revolutionized the online landscape, enabling bloggers and content creators to ensure authenticity, combat misinformation, and promote a safer digital environment. In today’s digital landscape, where content creation and consumption are at an all-time high, ensuring the authenticity and integrity of information becomes paramount. As the volume of online content continues to skyrocket, the need for effective content detection tools has become crucial.
With the launch of ChatGPT end of November 2022 it became clear that large language models (LLM) like GPT3.5 can replace a lot of text generation, more than even GPT3 or older models. And GPT4 by OpenAI is just around the corner.
Organizations, government agencies, and universities have a strong interest to determine if a piece of content was generated using a language model or AI text tool, needing a GPT Detector for handed in papers.
How would a GPT3 detector or ChatGPT detector work?
There are several ways to detect whether a piece of content was generated using a language model like GPT3, ChatGPT, or a tool like Jasper.ai, Writesonic, or copy.ai.
Some methods that could be used include:
- Checking for certain linguistic features or patterns that are common in machine-generated text. e.g. AI-generated text might have higher levels of repetitiveness or lack the complexity and variability of human-written text.
- Checking for specific formatting or structural features that are common in machine-generated text. e.g. AI-generated text might have a more uniform structure or lack the variety of formatting that is typical in human-written text. They sometimes look “too good to be true”.
- Checking for certain keywords or phrases that are commonly used in AI-generated text. That’s a lot harder already. In general, there are statistically significant patterns known and detectable of which word combinations a model like GPT3 picks.
- Comparing the content in question to known examples of machine-generated text. This could be done manually or especially using machine learning techniques to analyse the content and determine its likelihood of being generated by a machine, again.
- It is important to know that both GPT3 and ChatGPT (GPT3.5) have a much richer vocabulary, and produce more complex output. This fact makes them harder to distinguish from human written content.
It is also important to note that detecting whether a piece of content was generated using a language model or AI tool is not straightforward. It may be challenging to determine the origin of a given piece of text definitively. Many trivial text blocks written by a human or copied/pasted from the web are often detected as likely AI-generated.
Here is a list of the best AI Content Detection Tools – Top 8 AI detection tools:
Originality.ai, as the name suggests, is a tool that uses AI to detect AI. It is among the the best AI content detection tools. Seems a bit paradoxical, but it uses machine learning and works around the sentence structure to check the originality of the text. This tool also detects plagiarism and ensures that the written work is original. If you are planning to consider Originality.ai as your go-to tool, here are the pros and cons to look for beforehand.
- It quickly identifies plagiarism and thus saves time and effort involved.
- It can help ensure that written work is original, which can be important in academic or professional settings.
- Originality.ai uses natural language processing (NLP) algorithms to understand the text and identify similarities, even when the text has been rephrased or paraphrased. The tool can also check the text against a user-defined database of sources, such as a list of sources provided by a professor or a company’s internal document.
- It can also help users learn about proper citation and referencing practices.
- Like any other software, this, too, is prone to false positives. There might be instances where it might detect your original content to have been written by an AI. Don’t groan about it; rather, feel proud that you have some superhuman-level skills.
- It may not be able to detect all instances of plagiarism, especially if the text has been substantially rephrased or paraphrased.
- It may rely too heavily on the tool and not encourage users to develop their skills in identifying plagiarism.
Similar to Originality, Writer.com’s AI Content Detector tool also uses artificial intelligence and machine learning to check the originality of the text. It is among the the best AI content detection tools. The tool works by comparing the text being checked against a database of other texts to identify similarities. When a user submits text to Writer.com’s AI Content Detector, the tool scans the text and compares it to a database of other texts, including academic papers, websites, and other sources. The tool looks for similarities in the text, such as identical or similar phrases, sentences, or paragraphs. Here are the pros and cons to look for:
- Using NLP, it cannot just detect AI content but even helps brands get unique content to elate their image
- Free for up to 1500 characters (nearly 300 words)
- Can quickly create different types of content like social media copy, articles, quora answers, emails, etc.
- It can quickly and efficiently check large amounts of text for plagiarism
- Users can also get numerous suggestions regarding citations and referencing
- It has an extension that you can add to Chrome, Word, Edge, Docs, etc.
- Might fail to detect plagiarism every time
- It is also prone to false positive, which mean that sometimes even human-generated content can be detected as AI-generated. Phew!
Whenever we talk about plagiarism, we talk about Copyleaks. This company mainly works on helping companies be free from plagiarism. Apart from it, it also has a free tool that allows free 300-word AI content detection. But, should it be relied upon?
- Free to use
- Covers different language models
- Provides chrome extension
- Best for plagiarism
- APIs for large-scale detections
- Does not provide a measurement of how much content is original
- The AI detector is a beta version, which means in the future it might be chargeable
Like other AI detection tools, Crossplag is based on machine learning and NLP. It is among the the best AI content detection tools. The software shows results on a scale of red to green, where red means unoriginal content and green means original. Crossplag is a powerful tool, forged by the brightest minds in the field of technology, that uses advanced algorithms to scan your text and identify any instances of plagiarism, big or small, with reasonable accuracy. Here are the pros and cons of Crossplag:
- Supports over 100 languages
- Simple UI that detects plagiarism with reasonable accuracy
- Could be helpful in several work areas like SEO, academics, corporate content, etc.
- LTI integrations
- Uses the latest tech in NLP and ML
- Not well adept to the latest GPT model
- Pricing could be an issue for some
- Where its plagiarism is reasonably good, its AI detection may give out false positives
Considering companies’ current focus on SEO, Kazan came up with its SEO-based content generation and optimization app. It is among the the best AI content detection tools. Apart from SEO, Kazan is capable of generating AI-based content too. It also uses the NLP model to generate and detect AI-based content. Here are possible pros and cons to consider before paying for its services:
- Can process GPT3 model
- Simple interface
- Far excels the other free tools out there
- Can scan content in bulk
- Free-to-use tool
- Needs a minimum of 200 and a maximum of 400 words to process the results
- Has a bit distractive interface that could feel annoying at times
GLTR, or Giant Language Model Test Room, works on detecting the GPT language model. It is among the the best AI content detection tools. It was developed by a team hailing from MIT-IBM and Harvard NLP. The interface is very basic and can help you detect artificially generated content through its natural language processing (NLP) algorithm. Here are the pros and cons to consider:
- Can work well on the GPT model
- It is free for all users
- Provides results with reasonable accuracy
- Provides results with visualization
- The scientific language used could be vague for non-tech users
- User interface is a bit complex
- Detection is limited to the GPT database
Founded in 2018 by Ziang Xie, this tool has become an excellent AI detection tool in no time. It is among the the best AI content detection tools. It claims to be an excellent messaging assistant for companies that deal with customers. However, apart from being a messaging tool, it also helps companies detect AI-generated content. But how good is it at doing this?
- Offers excellent grammar and spell checking
- Extension and add-ons for Google Chrome and Docs
- Creates excellent content like emails, blogs, etc., using NLP
- Offers quick and excellent messaging support
- Integration with over 40 websites and applications
- No extension yet for the Mac browser
- Integration lacks quality
- Has no add-on for Google Slides
- OpenAI Text Classifier
The OpenAI Text Classifier is a tool from OpenAI, an organization specializing in artificial intelligence. It is among the the best AI content detection tools. Its main job is to tell the difference between human-written and AI-written text. As OpenAI is a leader in creating AI-generated content, they have valuable insights into detecting it. The Classifier is not always 100% reliable (like any other tool on this list), but it usually works best with longer input text. OpenAI offers this Classifier for public use, free of charge, just like its ChatGPT 3.5 tool.
- High accuracy for finding out if the author was human or AI
- Free and available to all
- Easy integration with APIs
OpenAI brought generative AI into the limelight, and with the Text Classifier, it is now bringing awareness to even the ugly sides of this technology. For those of you who trust OpenAI and ChatGPT, this is a great AI content finder to use.
Thank you for joining us on this exploration of AI content detector tools, and we hope this blog has provided valuable insights and guidance for leveraging these tools in your own endeavours.