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.
See updated studies on the ability of AI Detectors like Originality.ai's free ChatGPT text detector to identify the latest models from OpenAI see:
For a complete study on the current state of AI detection accuracy see this AI detection efficacy study.
Below shows the ability to detect ChatGPT 3 and 3.5 from 2023
With the release of OpenAI’s new model for AI-generative text, we needed to re-check Originality.AI’s accuracy. Essentially we completed a study to identify if the AI developed at Originality.AI can detect if the content that was produced by ChatGPT, GPT 3.5 (DaVinci-003) with the same accuracy as it can for GPT-3 which is 94%.
TLDR:
We tested 20 articles across GPT-3, GPT-3.5, and ChatGPT and ran each result through Originality.AI to determine the effectiveness of identifying AI content.
The results are that both ChatGPT and GPT-3 can be successfully identified with the existing AI but are superior to GPT-3.
Further training of the Originality.AI model will further improve its detection ability for GPT-3.5 and ChatGPT.
OpenAI just released a new model for AI-generated text, which is GPT3.5. In order to test the reliability of Originality.AI, several tests have been conducted. The test is conducted by entering the article generated from three different OpenAI models (GPT3, GPT3.5, and ChatGPT) into Originality. AI.
Originality.AI has the ability to detect whether the text is AI-generated. The performance of Originality.AI will be represented by the AI detection score and plagiarism check. The aim of this testing is to find out whether Originality.AI needs to be retrained or not.
The test is conducted by testing 20 articles generated from three different OpenAI models; GPT3, GPT3.5, and ChatGPT, which are the most advanced AI text-generated models in the market. The articles were approximately 500 characters long with various topics: fact-based news, sports articles, how-to article, and fun-fact articles.
In Order to generate this AI-Generated text, various prompt has been tested. Open-AI GPT Models are leading in bringing personalization to the text written. Most AI-Generated text platforms such as Jasper AI and Copy AI built these platforms with GPT-based models and extra prompt engineering.
To test the originality AI Performance, I test various keywords to generate the article by randomizing various of article types; blog, news, article, tutorial, magazine article, and also Instagram caption) and adding personalization to the prompt.
An example of the prompt would be “Write a news article about Who will win the world cup in Qatar by BBC News Journalist”. These are list of article types and lengths which tested on the OpenAI models.
I also add personalization to the prompt which makes this AI have more persona to see if originality AI still can predict the AI on the text despite a persona added here. The list of personas tested is Bloomberg Journalist, Ariana Grande, Jimmy Fallon, Nelson Mandela, Gumball, Elon Musk, best magazine journalist, BBC News Journalist, Donald Trump, Jack Ma, Gordon Ramsay, Jennifer Lawrence, Los Angeles Times Journalist, Machio Kaku, Rachael Ray, mythology, William Shakespeare, Sebastian Stan, Kevin Hart, Anthony Mackle, Vogue Journalist, Neil deGrasse Tyson, Joko Widodo – Indonesian President, New York Times Journalist, Elizabeth Olsen, Jeff Bezos, Guido van Rossum, IKEA, NASA Scientist, CNN News Journalist, Carl Sagan, and CBC Journalist.
After conducting the test on three different OpenAI Models, I found out that Originality AI can detect the AI on all the text generated by GPT-3, GPT-3.5, and ChatGPT by 99.41% on average. With GPT-3 has the highest maximum average score of 99.95%, followed by GPT-3.5 99.65%, and ChatGPT at 98.65%. It makes sense because GPT 3.5 is a more advanced model of GPT 3. ChatGPT is able to be detected as a non-AI on average by 1.35% because it has a better personalization feature. According to this performance test, I can conclude that Originality.AI performs really well as it can detect the AI-generated by various models with different combinations of prompt and personalization as high as 99.41%.
The graph and table below show the average, min, and max of GPT-3, GPT-3.5, and ChatGPT score results.
According to the graph below, ChatGPT-based text has the lowest AI Detection score, followed by GPT3.5 and GPT3.
I tried to compare the AI detection score on the OpenAI model with a persona added and without a persona. Adding a persona in the prompt tends to make the AI detection score slightly lower. The OpenAI might pick up some persona from the internet therefore it’s able to trick the AI Detector slightly~very low score, less than 1 %.
Originality.AI can detect plagiarism from the text very well. Most of the tests conducted contain plagiarism. Attached sample of plagiarism detected.
Approximately 10-25% of the text generated by GPT-3, GPT-3.5, and ChatGPT actually passed the plagiarism check. Originality.AI is able to detect that these text has plagiarism because GPT has trained on various text sources, including news source and online articles. I found out that 6 out of 20 sample ChatGPT-based texts were able to pass the plagiarism check, while only 3 samples out of each 20 GPT3 and GPT3.5-based texts passed the plagiarism check.
From the result of Originality.AI testing, overall I can conclude that Originality.AI has high performance for AI-generated text detection. I can find it in the Sheets attached. Even though Originality.AI is trained based on the GPT3 model, It’s also able to detect text generated by GPT3.5 and Chat GPT. It can be proven from the average accuracy of Originality.AI detecting text generated from GPT3.5 and ChatGPT. However, when Originality.AI is used to detect text generated by GPT3.5 and ChatGPT, its performance is slightly reduced.
According to the result, for now, retraining Originality.AI based on GPT3.5 is nice to have as it still performs quite well. However, In order to maintain the reliability and robustness of Originality.AI, knowing that GPT3.5 and ChatGPT are based on reinforcement learning, which means it kept being trained on various corpus and new data, so over time, the performance of the AI detection on originality AI might slightly be reduced (approximately 3-10%). In this case, Then, retraining the model used in Originality.AI based on GPT3.5 might increase the performance of Originality.AI in detecting AI-generated text by GPT3.5 and ChatGPT.
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.
Copyright © 2023, Originality.ai
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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!
