Keyword density helper – This tool comes with a built-in keyword density helper in some ways similar to the likes of SurferSEO or MarketMuse the difference being, ours is free! This feature shows the user the frequency of single or two word keywords in a document, meaning you can easily compare an article you have written against a competitor to see the major differences in keyword densities. This is especially useful for SEO’s who are looking to optimize their blog content for search engines and improve the blog’s visibility.
File compare – Text comparison between files is a breeze with our tool. Simply select the files you would like to compare, hit “Upload” and our tool will automatically insert the content into the text area, then simply hit “Compare” and let our tool show you where the differences in the text are. By uploading a file, you can still check the keyword density in your content.
Comparing text between URLs is effortless with our tool. Simply paste the URL you would like to get the content from (in our example we use a fantastic blog post by Sherice Jacob found here) hit “Submit URL” and our tool will automatically retrieve the contents of the page and paste it into the text area, then simply click “Compare” and let our tool highlight the difference between the URLs. This feature is especially useful for checking keyword density between pages!
You can also easily compare text by copying and pasting it into each field, as demonstrated below.
Ease of use
Our text compare tool is created with the user in mind, it is designed to be accessible to everyone. Our tool allows users to upload files or enter a URL to extract text, this along with the lightweight design ensures a seamless experience. The interface is simple and straightforward, making it easy for users to compare text and detect the diff.
Multiple text file format support
Our tool provides support for a variety of different text files and microsoft word formats including pdf file, .docx, .odt, .doc, and .txt, giving users the ability to compare text from different sources with ease. This makes it a great solution for students, bloggers, and publishers who are looking for file comparison in different formats.
Protects intellectual property
Our text comparison tool helps you protect your intellectual property and helps prevent plagiarism. This tool provides an accurate comparison of texts, making it easy to ensure that your work is original and not copied from other sources. Our tool is a valuable resource for anyone looking to maintain the originality of their content.
User Data Privacy
Our text compare tool is secure and protects user data privacy. No data is ever saved to the tool, the users’ text is only scanned and pasted into the tool’s text area. This makes certain that users can use our tool with confidence, knowing their data is safe and secure.
Compatibility
Our text comparison tool is designed to work seamlessly across all size devices, ensuring maximum compatibility no matter your screen size. Whether you are using a large desktop monitor, a small laptop, a tablet or a smartphone, this tool adjusts to your screen size. This means that users can compare texts and detect the diff anywhere without the need for specialized hardware or software. This level of accessibility makes it an ideal solution for students or bloggers who value the originality of their work and need to compare text online anywhere at any time.
With the release of ChatGPT in November 2022, many content marketers and experts have come up with ways to easily identify AI content. Most recently, numerous online discussions and blogs have cropped up, claiming to have captured its most commonly used words. But can humans accurately identify ChatGPT-generated content? Or do we just think we can?
To see how helpful and accurate ‘ChatGPT’s Most Common Words/Phrases’ roundups are, we collected articles, blogs, and Reddit posts that listed ChatGPT’s most common outputs and compared them to our extensive dataset of AI-generated text.
Multiple studies have shown that humans are not as good at detecting AI content as they think they are.
A number of reviews, blog posts, and social posts have claimed to be able to easily identify ChatGPT-generated content through certain words and phrases — i.e. many suggest that the word “delve” is used in almost every ChatGPT-generated text.
But can we really use these lists to help detect AI-generated text?
While you may be tempted to answer ‘yes,’ there are multiple data points that suggest otherwise. For example, a study by the University of Washington and this similar one, shows us that humans are likely overconfident in their AI-detecting abilities. In the first study, researchers found “that [human] evaluators were unable to distinguish between GPT-3 and human-authored text across… domains”.
Ironically, the human evaluators’ confidence, measured in the percentage of “Definitely” responses, remained high even as their accuracy scores plummeted across various testing conditions. Humans reached opposite conclusions for the same observations — proving that humans detect AI subjectively, with personal bias.
Above is an excerpt of two evaluators’ reasonings for why the text is human-generated (left) or GPT-generated (right). Humans reached opposite conclusions for the same observations — proving that humans aren’t as good as they think they are at identifying AI-written content.
To have a comprehensive dataset of the words and phrases ChatGPT is actually using, we collected and cleaned seven datasets of AI-generated text, then tallied up the most commonly used words and phrases in those outputs. Here is where our compiled dataset was gathered:
Below is a list of all the most commonly used ChatGPT words, from highest (most used) to lowest (least used).
Below is a list of all the most commonly used ChatGPT phrases, from highest (most used) to lowest (least used).
There aren’t many words that stand out or are unique when compared to human-generated content. For example, some of the most common words are:
These aren’t very unique or easily identifiable — most of these words are actually commonly used in human-written content.
When we look at the most common phrases, we see:
Again, very common phrases that are not easily identified as ChatGPT text.
Moving down the list (to the less common words), we can see some more unique words, such as ‘designed,’ ‘reflect,’ ‘confident,’ and ‘healthier.’ We also see more unique phrases such as “perform operations,” “benefits and drawbacks,” and “nature of reality.” However, these were not found in our datasets very often and therefore aren’t nearly as common in ChatGPT outputs.
At first glance, this dataset doesn’t show us any major differences between the words ChatGPT uses and the words used in human writing. In other words, ChatGPT does not use many words that can easily be spotted by humans.
This theory is backed up by both our dataset and other studies such as Elizabeth Clark’s study which looks at how likely it is that humans can detect AI-generated content. This study determined that even after training, humans were about 55% accurate in detecting AI content — basically a coin flip. When looking at the common words used by ChatGPT in our dataset, we can see that this theory stands up. ChatGPT doesn’t tend to use unique or easily identifiable words in its outputs, which makes it difficult to identify.
Are there any words or phrases that are unique to ChatGPT like so many blogs and experts claim?
According to several blogs and social posts, ChatGPT-produced text is easy to identify because it commonly uses unusual words. To see if this is indeed true, we gathered all these words and phrases from publicly available articles and posts online. Here is a list of the so-called commonly used words and phrases that experts claim to be easily identifiable:
To verify whether or not they were actually being used in ChatGPT outputs, we compared them to our extensive dataset.
Here are the results:
The findings from this table are interesting — there was a lot of overlap between the online lists we found and our dataset. In fact, almost every word was used in our dataset. Here’s the caveat — most words were NOT frequently used by ChatGPT.
The most popular word — “delve” — which according to multiple sources is the most easily identifiable culprit behind ChatGPT-generated text, was only used 146 times. This is minuscule compared to the tens of millions of words and phrases we analyzed in our dataset.
In other words, although there are some unique identifying words that might be used commonly by ChatGPT, from this list we can see that many aren’t — and even those that are can be difficult to identify and distinguish from human-written text.
Here are the results:
Similar to the words dataset, our research on phrases highlights that what experts claim are common ChatGPT-generated phrases — aren’t actually that common at all!
The datasets demonstrate that there aren’t any words or phrases that help humans easily identify ChatGPT-generated content.
Our initial findings show that in contrast to their confidence levels, humans are actually NOT good at identifying AI-generated content.
Humans tend to be overconfident regarding their ability to correctly spot AI-generated content and lists containing ‘ChatGPT’s Top Words and Phrases’ are more or less useless.
AI detectors like Originality.ai — which are significantly more accurate than humans at identifying AI content — should be used to help verify when and if AI is being used.
In short, no. Surprisingly, ChatGPT rarely uses words from the ‘most-common’ roundups. To the contrary, its most frequently used words and phrases — according to our extensive dataset — are generic and typical of human writing.
While it is true that many of the words from the blog roundups showed up in our dataset, they did not appear nearly as many times as you would expect, given how often they were mentioned across multiple articles and blogs.
No. According to the University of Washington study — a study of how likely humans are to detect AI-generated content — even after training, people were only able to guess the origins of a text 55% of the time — basically a coin flip. Without training, human accuracy scores were even lower — and this was for ChatGPT3, the less-sophisticated counterpart to ChatGPT4.
Not really. This is because they are not backed by reliable data — they usually represent the author's personal experience using ChatGPT. The ‘most-common’ words depend on:
The short answer is no. Humans use many of these words too! If however, you see an unusual word that humans rarely use, like “tapestry,” it is more likely your text was produced by ChatGPT. Since you can never be sure, we recommend you scan the text with a trusted AI detector, such as Originality.ai.
No, that’s one of the benefits, only fill out the areas which you think will be relevant to the prompts you require.
When making the tool we had to make each prompt as general as possible to be able to include every kind of input. Not to worry though ChatGPT is smart and will still understand the prompt.
Originality.ai did a fantastic job on all three prompts, precisely detecting them as AI-written. Additionally, after I checked with actual human-written textual content, it did determine it as 100% human-generated, which is important.
Vahan Petrosyan
searchenginejournal.com
I use this tool most frequently to check for AI content personally. My most frequent use-case is checking content submitted by freelance writers we work with for AI and plagiarism.
Tom Demers
searchengineland.com
After extensive research and testing, we determined Originality.ai to be the most accurate technology.
Rock Content Team
rockcontent.com
Jon Gillham, Founder of Originality.ai came up with a tool to detect whether the content is written by humans or AI tools. It’s built on such technology that can specifically detect content by ChatGPT-3 — by giving you a spam score of 0-100, with an accuracy of 94%.
Felix Rose-Collins
ranktracker.com
ChatGPT lacks empathy and originality. It’s also recognized as AI-generated content most of the time by plagiarism and AI detectors like Originality.ai
Ashley Stahl
forbes.com
Originality.ai Do give them a shot!
Sri Krishna
venturebeat.com
For web publishers, Originality.ai will enable you to scan your content seamlessly, see who has checked it previously, and detect if an AI-powered tool was implored.
Industry Trends
analyticsinsight.net
Tools for conducting a plagiarism check between two documents online are important as it helps to ensure the originality and authenticity of written work. Plagiarism undermines the value of professional and educational institutions, as well as the integrity of the authors who write articles. By checking for plagiarism, you can ensure the work that you produce is original or properly attributed to the original author. This helps prevent the distribution of copied and misrepresented information.
Text comparison is the process of taking two or more pieces of text and comparing them to see if there are any similarities, differences and/or plagiarism. The objective of a text comparison is to see if one of the texts has been copied or paraphrased from another text. This text compare tool for plagiarism check between two documents has been built to help you streamline that process by finding the discrepancies with ease.
Text comparison tools work by analyzing and comparing the contents of two or more text documents to find similarities and differences between them. This is typically done by breaking the texts down into smaller units such as sentences or phrases, and then calculating a similarity score based on the number of identical or nearly identical units. The comparison may be based on the exact wording of the text, or it may take into account synonyms and other variations in language. The results of the comparison are usually presented in the form of a report or visual representation, highlighting the similarities and differences between the texts.
String comparison is a fundamental operation in text comparison tools that involves comparing two sequences of characters to determine if they are identical or not. This comparison can be done at the character level or at a higher level, such as the word or sentence level.
The most basic form of string comparison is the equality test, where the two strings are compared character by character and a Boolean result indicating whether they are equal or not is returned. More sophisticated string comparison algorithms use heuristics and statistical models to determine the similarity between two strings, even if they are not exactly the same. These algorithms often use techniques such as edit distance, which measures the minimum number of operations (such as insertions, deletions, and substitutions) required to transform one string into another.
Another common technique for string comparison is n-gram analysis, where the strings are divided into overlapping sequences of characters (n-grams) and the frequency of each n-gram is compared between the two strings. This allows for a more nuanced comparison that takes into account partial similarities, rather than just exact matches.
String comparison is a crucial component of text comparison tools, as it forms the basis for determining the similarities and differences between texts. The results of the string comparison can then be used to generate a report or visual representation of the similarities and differences between the texts.
Syntax highlighting is a feature of text editors and integrated development environments (IDEs) that helps to visually distinguish different elements of a code or markup language. It does this by coloring different elements of the code, such as keywords, variables, functions, and operators, based on a predefined set of rules.
The purpose of syntax highlighting is to make the code easier to read and understand, by drawing attention to the different elements and their structure. For example, keywords may be colored in a different hue to emphasize their importance, while comments or strings may be colored differently to distinguish them from the code itself. This helps to make the code more readable, reducing the cognitive load of the reader and making it easier to identify potential syntax errors.
With our tool it’s easy, just enter or upload some text, click on the button “Compare text” and the tool will automatically display the diff between the two texts.
Using text comparison tools is much easier, more efficient, and more reliable than proofreading a piece of text by hand. Eliminate the risk of human error by using a tool to detect and display the text difference within seconds.
We have support for the file extensions .pdf, .docx, .odt, .doc and .txt. You can also enter your text or copy and paste text to compare.
There is never any data saved by the tool, when you hit “Upload” we are just scanning the text and pasting it into our text area so with our text compare tool, no data ever enters our servers.
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This table below shows a heat map of features on other sites compared to ours as you can see we almost have greens across the board!
Have you seen a thought leadership LinkedIn post and wondered if it was AI-generated or human-written? In this study, we looked at the impact of ChatGPT and generative AI tools on the volume of AI content that is being published on LinkedIn. These are our findings.
