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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.
Online shopping platforms like Daraz have changed how people evaluate products, with user reviews now playing a major role in purchase decisions.
Daraz is a leading South Asian e-commerce platform, according to its LinkedIn page.
Interestingly, the company’s LinkedIn notes that it was founded in 2015, which is when Daraz Group was officially established.
However, according to Crunchbase, Daraz’s founding year was a few years earlier, in 2012. This likely refers to when Daraz Pakistan was first launched as a smaller online retailer of fashion products (prior to the formation of Daraz Group).
Crunchbase also records that Daraz received a $55.6 million funding round in 2015 and that, just a few years later, Alibaba acquired Daraz in 2018 to further expand its e-commerce empire.
Since then, Daraz has continued to see success, reaching over 100 million app downloads on the Google Play Store.
Even better, the app has achieved an average rating of 4.5 stars.
However, the origins of those reviews and others across the platform are becoming harder to verify in the age of AI-generated content.
This study examines the rate of AI-generated reviews on the Daraz platform over recent years and explores its potential implications on consumer trust in digital marketplaces.
This study aimed to:
Our analysis of AI-generated reviews on Daraz reveals some notable trends from 2018 to 2024.
In 2018, only 1.34% of the total reviews on Daraz were flagged as likely AI-written, indicating minimal use of the technology at the time.
This relatively low percentage remained relatively stable (despite minor fluctuations) throughout the next few years, with only a slight increase to 2.71% in 2019, and minor decreases to 2.43% in 2020 and 1.49% in 2021.
However, a consistent upward trend appears from 2022 to 2024.
The rate of AI-generated reviews on Daraz, which was at 1.74% in 2022, jumped to 4.65% in 2023 and 8.67% in 2024.
From 2018 to 2024, AI-generated reviews on Daraz increased by 546% (rounded from 545.85%).
Most Daraz reviews are still likely human-written, accounting for 91.3% of total reviews.
Yet, a jump from 1.34% (in 2018) to 8.67% (by 2024) is significant.
What’s more, it mirrors similar trends of increasing AI-generated reviews on other platforms such as Flipkart, AliExpress, Shein, and Alibaba, suggesting a broader reliance on AI technologies across digital marketplaces.
This rapid growth could be attributed to a range of factors, including:
After all, the upward trend of AI-generated reviews on Daraz notably increased following 2022, the same year OpenAI first introduced ChatGPT to the world.
These changes have made it easier for users — and potentially automated systems — to generate and submit reviews, reshaping how feedback is produced and consumed on platforms like Daraz. However, this convenience may also introduce new challenges, especially for platforms trying to maintain consumer trust.
A 546% increase in AI-generated reviews on Daraz in recent years points to a growing reliance on automated content creation within e-commerce platforms.
However, as generative AI tools continue to advance and become even more accessible, they present potential risks to consumer trust and decision-making processes.
Many consumers depend on genuine peer reviews to make informed purchasing decisions, and AI just can’t replace real human experience. It can only copy or paraphrase other people’s reviews, which aren’t exactly helpful. Even worse, AI hallucinations and factual errors can further complicate things by misrepresenting product quality and reliability.
Over time, this can erode trust in both individual reviews and the platform itself. For marketplaces like Daraz, maintaining that trust can be essential to long-term user engagement
Therefore, those in the e-commerce space may increasingly need to implement robust AI detection and moderation strategies.
Without effective ways to identify and manage AI-generated reviews, there is an increased risk of losing that all-important consumer confidence, potentially impacting platform reputation and user engagement negatively.
This study highlights that the presence of generative AI content is growing in online marketplaces like Daraz, especially over the past few years.
The sharp rise in AI-generated reviews on Daraz from 2018 to 2024 is something that can be mitigated with the right strategies in place.
To help avoid issues with AI reviews, Daraz and similar platforms should consider:
As generative AI tools become even more advanced, it’s important for e-commerce platforms to be proactive, not reactive. Not just to preserve the integrity of their review systems, but to maintain the trust of customers who rely on them.
Do you know if you’re reading human-written or AI-generated reviews? Use Originality.ai’s AI Detector to spot the difference today.
Read more about how AI has impacted other platforms:
This study uses a data-driven approach to measure AI-generated reviews on Daraz from 2018 to 2024. The dataset includes user reviews with timestamps and binary labels indicating whether each review is likely AI-generated, based on a pre-trained AI detection model.
Timestamps were standardized to extract publication years, and data was cleaned to remove invalid entries. Reviews were grouped by year to calculate the annual percentage of AI-generated content.
A line chart visualizes trends over time, while an exploded pie chart shows the 2024 breakdown of AI vs. human-written reviews. Data processing and visualizations were done in Python using pandas and matplotlib.
The study highlights the rise in AI-generated content over time and offers a replicable method for analyzing review authenticity across platforms.
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!
