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.
AI is becoming increasingly integrated into everyday life.
There’s been a notable amount of fake, AI-generated reviews across industries such as healthcare clinics, airlines, and even holiday shopping.
Further, there’s been a substantial increase in AI content in Google Search Results.
As AI continues to impact numerous fields, we conducted a study to determine whether AI was present in health and wellness product reviews across key consumer industries — baby formula, skincare, and health supplements.
To conduct the study we analyzed a dataset of 11,263 product reviews.
Our research aims to assess the impact of AI reviews on consumer trust, and the ethical concerns surrounding their use. These are our findings.
Looking to find out whether that review you’re reading is human-written or AI-generated? Try the Originality.ai AI Checker.
After conducting our analysis, we were pleasantly surprised.
Previous findings in our healthcare clinic review study demonstrated a substantial amount of AI reviews in healthcare clinics. 28.9% of U.S. plastic surgery clinic reviews and 20.7% of Canadian dental clinic reviews were detected as Likely AI-generated.
However, in contrast, there was a low level of AI in health and wellness product reviews.
Only 4.4% (494 reviews) of health and wellness products were Likely AI-generated.
This means that the vast majority of health and wellness product reviews are still Likely human-written at 95.6% (10,769 reviews) — at least for now.
The rate of AI healthcare reviews at 4.4% is so low that it falls within the typically normal range of false positives with AI detection.
False positives in AI detection occur when an AI detector identifies original, human-written content as AI-generated.
At Originality.ai, our Lite model offers an under 1% false positive rate. Then, our Turbo model has an under 3% false positive rate.
So, in this context, 4.4% of reviews being detected as Likely AI is just slightly higher than average false positive rates in AI detection.
Read more about our AI detection models.
Note: False positive rates can vary by AI detection model and company.
For our study, AI-generated reviews were segmented by product category:
The aim of dividing the reviews was to evaluate how prevalent AI-generated reviews are across key consumer products in the health and wellness industry.
While supplements had the highest amount of reviews that were Likely AI, skincare products exhibited a higher percentage of AI-generated reviews than baby formula.
This suggests that AI tools are more commonly used in the review process for supplement and skincare products.
The baby formula category had the lowest percentage of Likely AI reviews, which is potentially due to the sensitive nature of the product and a correlating preference for human-generated reviews.
The higher percentage of AI in supplement and skincare reviews may indicate a preference for AI content due to the abundance of similar product offerings where AI could be used to generate large volumes of reviews quickly.
Looking at the bigger picture, beyond AI reviews in sensitive consumer health and wellness goods, the presence of AI reviews is on average trending upwards across several industries.
Since the launch of GPT-2, GPT-3, and GPT-4, AI reviews have steadily increased.
The rising trendline of AI reviews is depicted in the graph below.
To provide better context as to the presence of AI reviews across industries, let’s take a comparative look at how health and wellness product reviews stack up with the other studies we’ve conducted at Originality.ai.
The notable percentages of AI in healthcare clinic reviews across hospitals, dental clinics, and plastic surgery clinics in both the U.S. and Canada raise a number of ethical concerns. Read the full study on AI healthcare reviews here.
We found that there is a notable seasonal increase in shopping reviews that were Likely AI over the holiday season. Read the full study on AI holiday shopping reviews here.
Some of the top airlines demonstrate high percentages of AI reviews, for comparative purposes, we are highlighting a few of the most popular airlines here. Read the full analysis of AI in airline reviews here.
Next, we investigated how AI-generated reviews impacted the average star ratings of products and their popularity (number of reviews).
We compared AI-generated reviews to human-written reviews in terms of their influence on product ratings.
AI-generated reviews often had slightly higher star ratings compared to human-written reviews, but the difference was marginal.
AI-generated reviews pose significant ethical concerns, especially in sensitive product categories like healthcare products.
The lack of transparency around AI-generated content can mislead consumers, erode trust, and potentially manipulate consumer purchasing decisions.
AI-generated reviews can potentially inflate product ratings, especially if used by companies to manipulate consumer perceptions, particularly for expensive and critical healthcare products.
This report has highlighted the growing role of AI-generated reviews in health and wellness consumer goods.
The analysis shows that while AI-generated reviews are prevalent, for the present, key health and wellness products are still primarily human-written across supplements, skin care, and baby formulas.
Although this study found that AI health and wellness product reviews fell within the range of false positives in AI detection, the presence of any AI-generated reviews for products like supplements or baby formula is a cause of concern both ethically and for establishing consumer trust in brands.
This study analyzed supplement, skincare, and baby formula reviews for AI-generated content. 11,263 product reviews were collected across these industries.
Reviews were classified based on the AI_Likelihood score, where reviews with a likelihood above 50% were categorized as AI-generated, and those below were considered human-generated.
Dataset available upon request.
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.
