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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.
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.
In 2024, Temu, the fast-rising e-commerce giant, topped the U.S. App Store download charts for free apps, according to TechCrunch.
Temu has rapidly gained attention for its rock-bottom prices and explosive user growth, which comes just a few short years after its initial launch in 2022, as noted by Crunchbase.
As the company shifts away from direct China-to-U.S. shipping in 2025, as reported by USA Today and Techcrunch, and adapts to evolving logistics, another concern has emerged: the accelerating presence of AI-generated product reviews.
This original study examines the rate of AI-generated reviews on Temu between 2022 and 2025, revealing how the surge may be reshaping consumer trust and digital marketplace integrity.
While online reviews have traditionally served as trusted signals of product quality, the influx of AI-written feedback is blurring the line between genuine user experiences and machine-generated narratives.
As Temu continues to dominate e-commerce traffic and shopper attention, this trend raises critical questions: Can consumers still trust what they read? What role should platforms and regulators play in ensuring transparency in an AI-powered economy?
This study aims to quantify the extent of AI-generated reviews on Temu and whether there has been an increase or decrease in their prevalence over recent years.
By assessing the proportion of AI-generated versus human-authored reviews, we seek to provide insights into how AI is influencing online marketplace dynamics.
Ultimately, the findings from this study will contribute to broader discussions around digital authenticity, consumer protection, and the evolving role of AI in shaping online consumer experiences.
The analysis revealed a clear upward trend in the rate of AI-generated reviews on Temu from 2022 to 2025.
In 2022, AI-generated reviews constituted approximately 0.75% of the total reviews. By 2023, this rate had increased to 3.40%, marking a substantial year-over-year rise (although AI review levels still remained relatively low in 2023).
However, the trend continued, with AI review rates reaching 5.17% in 2024. The most significant increase was then observed in 2025, with AI-generated reviews accounting for 10.90% of the total.
Overall, the rate of AI-generated reviews experienced an increase of approximately 1361% from 2022 to 2025.
These findings indicate a rapidly growing reliance on AI technology in generating consumer reviews and highlight potential implications for consumer trust and platform integrity.
The findings underscore a significant and accelerating reliance on AI-generated content within online reviews, presenting critical implications for consumer trust and regulatory oversight.
The substantial increase of approximately 1361% in AI-generated reviews between 2022 and 2025 indicates that Temu, along with potentially other e-commerce platforms we have studied, such as Shein, Snapdeal, and Flipkart, is becoming increasingly impacted by the proliferation of artificially created reviews.
This trend raises concerns about authenticity as consumers rely heavily on review credibility to inform their purchasing decisions.
To address these challenges, platforms like Temu should consider:
In parallel with the rise of AI-generated content, Temu has also undergone significant operational changes. In 2025, the company ceased direct shipments from China to the U.S., the implications of which are yet to be fully seen.
Early traffic data from Similarweb shows a decline in U.S. visits compared to the previous month.
This raises further questions about how logistical changes will impact customer engagement and, in turn, reviews over time.
In conclusion, while AI-generated reviews can significantly scale content production, they also introduce questions and concerns around trust and authenticity.
Future research should continue monitoring this trend, explore deeper implications for consumer behavior and review strategies to ensure ethical standards and transparency in digital marketplaces.
Wondering 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 was collected via web scraping reviews of the Temu platform from Trustpilot using Python's requests and BeautifulSoup libraries. Reviews were extracted, including date and text, and saved in CSV format.
Each review (over 50 words) was evaluated for AI-generation likelihood using the Originality.ai API, which provided a confidence score and a binary classification. These results were added to the dataset for further analysis.
The final dataset enabled a temporal analysis of AI-generated reviews, focusing on yearly trends and changes from 2022 to 2025.
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!
We studied how Originality.ai’s multilingual AI detector stacked up to state-of-the-art AI content detectors across a range of Arabic datasets, as per the study “The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models Text.” These are our findings.
We believe that it is crucial for AI content detectors reported accuracy to be open, transparent, and accountable. The reality is, each person seeking AI-detection services deserves to know which detector is the most accurate for their specific use case.
