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.
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 rise of AI-generated content on the internet today, concerns about authenticity and transparency have grown significantly, particularly in industries that rely heavily on user reviews and experiences.
This study examines the prevalence of AI-generated content in the luxury hotel industry, an industry renowned for:
By exploring the reviews of 4 and 5-star luxury hotels, we aimed to determine if this industry sector remains authentic in user feedback or if it has been impacted by the influx of AI-generated content observed in other industries.
Luxury hotels in 10 major US cities were included in this study: New York, Los Angeles, Chicago, Houston, Phoenix, Philadelphia, San Antonio, San Diego, Dallas, and Jacksonville.
Each review was then analyzed for AI-generated content using the Originality AI Detector.
Through this analysis, we hope to provide insights into how AI reviews are shaping the luxury hotel industry:
To conduct this analysis, we used a local business data API powered by Google Maps to retrieve information on businesses, including their reviews.
The focus of this study is on luxury hotels. Therefore, only hotels rated 4 and 5 stars were considered.
As of 2025, more than 20% of luxury hotel reviews are AI-generated.
The data collected (and depicted in the graph above) shows a clear upward trend in AI-generated reviews, with the most significant spike occurring during 2022 when AI-generated content rose from 0.9% to 10% (and kept rising into 2023).
As of 2025, AI-generated reviews in the luxury hotel industry now account for over 20% of total reviews — an increase of 100% from 2022.
This growth and increasing trend of AI reviews, particularly following 2022, mirrors patterns that have been observed across other industries that we have studied as well.
2022 is often the tipping point for widespread AI-generated content, as found in our studies on AI lawyer’s office reviews, Canadian ‘Big 5’ bank reviews, and Snapdeal, as it aligns closely with the public release dates of popular LLMs and tools like ChatGPT.
Across all of the reviews analyzed, 15% of the total reviews were Likely AI.
While the majority of reviews, at approximately 85% (84.99%), were human-written, the overall percentage of AI content and the rising trend across the time period studied are notable.
This raises concerns for customers looking for authentic insight into previous customer experiences to inform their decisions when booking reservations.
Further, of the AI reviews studied, the majority of AI-generated luxury hotel reviews were 5-star reviews at 56.7%.
The remaining AI luxury hotel reviews had the following star ratings:
This suggests that most luxury hotel reviews classified as AI-generated were positive reviews about the hotels.
This study focused exclusively on luxury hotels, specifically hotels rated four stars and five stars.
When comparing the presence of AI-generated content across these two categories:
This could potentially reflect the efforts of the highest-rated luxury hotels to maintain a strong online image and reputation.
Using data collected across 10 major US cities (New York, Los Angeles, Chicago, Houston, Phoenix, Philadelphia, San Antonio, San Diego, Dallas, and Jacksonville), 10 hotels from each city were selected for the study, totalling 100 luxury hotels.
Our analysis also revealed a variation in the prevalence of AI-generated content across each city. For instance:
The variation suggests that certain regions or cities may be more prone to leveraging AI-generated content than others. Possible reasons for this include: higher hotel volumes, market competition, or other demographic factors.
The findings from this study show a growing trend of AI-generated content in luxury hotel reviews.
In today's digital era, digital transparency is of utmost importance to maintain integrity and consumer confidence. Especially in industries like luxury hotels, where customers are looking to read previous experiences for insight into a hotel before booking reservations.
Do you have concerns over whether a post or review you’re reading might be AI-generated? Use the Originality.ai AI detector to find out.
Read more about the impact of AI on online platforms:
Data Source:
Data was collected using a Google Maps-powered business API from RapidAPI, focusing on 4- and 5-star luxury hotels in 10 major U.S. cities (New York, Los Angeles, Chicago, Houston, Phoenix, Philadelphia, San Antonio, San Diego, Dallas, and Jacksonville).
A total of 100 hotels were selected, from which an initial total of 4,124 reviews was collected.
After cleaning (removing duplicates, nulls, and irrelevant data), 3,947 reviews remained. Only reviews from 2020 with 100+ words were analyzed.
AI Detection Methodology:
Reviews were submitted to the Originality.AI API to assess likelihood of AI authorship. Two metrics were recorded:
Each review included metadata such as hotel name, city, average rating, price, review rating, and AI detection scores. These formed the basis for further analysis.
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!
Several US newspapers published a list of books credited to real authors that were, in fact, AI hallucinations. Could this have been prevented? We used our proprietary Originality.ai AI Detection and Fact Checking software to find out!