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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.
Customer reviews are critical to informing customer decisions and can impact a brand’s reputation. With the widespread availability of AI tools, there is a rising concern that some online reviews may be artificially generated.
The implications of this are notable, due to fake reviews potentially misleading consumers and distorting perceptions of product quality.
From previous studies, we’ve seen countless examples of the impact of AI in reviews across Flipkart, Alibaba Shopping App, AliExpress, and TripAdvisor.
This study focuses specifically on the Walmart mobile application, one of the most popular e-commerce platforms with 1 Million+ downloads.
By systematically analyzing a representative sample of product reviews from the Walmart app, this research aims to quantify the extent of AI-generated content and identify patterns related to product categories, consumer sentiment, and temporal trends.
The analysis of AI reviews on the Walmart app from 2019 to 2023 reveals a noticeable upward trend in AI content.
This represents an overall 80.8% increase in AI reviews from 2019 to 2023.
While the rate of AI reviews was initially slow, the trend began to accelerate, suggesting broader adoption of AI text-generation tools over time.
Such a marked rise suggests that AI content generation tools — such as ChatGPT and similar technologies — may be increasingly used to write app reviews, whether by users, developers, or third parties.
However, it’s worth noting that from 2023 to 2024, the rate of AI-generated reviews on Walmart stalled at 7.8%. Suggesting that initial interest in AI tools to create reviews on Walmart may have reached a plateau.
Alternatively, Walmart may have integrated moderation tools for AI detection to monitor the use of AI content on their app.
The sharp rise in AI-generated reviews from 2022 to 2023, and the presence of 7.8% AI reviews on Walmart in 2024 (depicted in the pie chart above), suggests a shift in how frequently people and brands are relying on generative AI for producing reviews.
This increase in usage can likely be attributed to the significant improvements to generative AI models as they become more accessible and integrated into daily life.
This trend has important implications. The growing presence of AI-generated content could impact consumer trust and decision-making, particularly if AI reviews are used to manipulate product ratings or misrepresent customer sentiment.
Retail platforms like Walmart may need to consider enhancing their detection and moderation systems to ensure review authenticity and maintain consumer confidence.
As we move into 2025, it will be critical to continue monitoring these rates to understand how the influence of AI-generated content evolves in digital marketplaces
In summary, the results of this study show that generative AI’s influence continues to grow in online marketplaces, further highlighting the importance of robust AI content detectors and consumer awareness.
From our findings, it’s clear that a significant portion of Walmart reviews show all the tell-tale signs consistent with AI generation.
With e-commerce continuing to grow and customer reviews remaining one of the most important brand trust indicators, Walmart must consider the following:
Considering the plateau in AI content on Walmart Reviews from 2023 to 2024, they may already be integrating moderation tools into the platform. We’ll monitor this trend in time to see if the plateau is temporary or continues.
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:
This study used a systematic approach involving data collection, preprocessing, AI detection, and analysis to assess AI-generated customer reviews on the Walmart mobile app.
The final dataset was analyzed for patterns in AI-generated content, including overall prevalence, correlations with ratings or engagement, and time-based trends.
This structured method enabled a reliable assessment of AI-generated reviews, offering insights into their potential impact on consumer behavior and retail practices.
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!
With our proprietary Originality.ai AI detection tool, we studied the proportion of AI AliExpress Shopping App reviews from 2018 to 2024, and discovered a significant increase in AI content between 2020 and 2024. These are our findings.
