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.
Even our own AI detector is not perfect, and it can produce false positives. These false positives can be very painful for anyone who creates original content. Whether you are a student who has been wrongly accused of using ChatGPT by TurnItIn or GPTZero or a writer who has received a false positive with Originality.ai, this article is meant to help.
Discover how AI detection works, the accuracy rates, what to do if you have been wrongly accused, and tips on how to avoid it in the future.
This article provides a brief overview of common questions about AI content detector false positives that may help if you have been accused of using AI. For a deeper discussion on each topic, view the recommended reading links within the sections.
If you truly created (without AI involvement) a piece of text and you are being accused of having created it with AI, here are steps you can take.
If you are a writer and you have been falsely accused of having AI create content, you can:
Here are tips to help prevent and resolve false positives.
"False positives in AI detection are a BIG deal and will not go away with the use of generative." AI continues to climb. Our hope is that this article will help people understand the limitations of detection tools and share strategies on their appropriate use and how to prove your work's Originality.
An AI content detector is an artificial intelligence trained to tell the increasingly subtle difference between AI-generated and human-generated text.
Most Common Misunderstanding:
A detection score of 60% AI and 40% Original should be read as “there is a 60% chance that the content was AI-generated,” and NOT that 60% of the article is AI-generated and 40% is Original.
A score of 60% Original and 40% AI, if you know the content was 100% created by you, is not a false positive. It correctly identified the content as Original.
AI Detectors are NOT 100% accurate and never will be. We have done extensive testing on Originality.ai’s accuracy rate, and it varies based on which Generative AI tool and large language model (LLM) is used to create the content.
With our latest model, Lite 1.0.0, released in July 2024, the accuracy is 98% with a 1% false positive rate. Lite also permits light AI editing such as Grammarly’s spelling and grammar tools, which makes it an excellent choice for web publishers, marketers, and education professionals.
In October 2024, we released an updated Turbo model with 99%+ accuracy and an under 3% false positive rate. It's a fantastic choice if you have a 0 tolerancy policy for AI use.
For further information, see the complete AI Detection Accuracy Study.
Then, review a meta-analysis of eight third-party studies that demonstrate Originality.ai’s exceptional AI detection.
Try our AI content checker here.
See our complete AI detector accuracy tests here.
A quick overview showing Originality.ai’s accuracy on GPT-4 in comparison to other AI detection tools (note this was completed with a previous model).
We used a confusion matrix to test the accuracy of an AI detector against a set of AI-generated and human-written text.
Below are the results of a study comparing the Accuracy and False Positives of Originality.ai vs Other AI Detectors
Many existing AI detectors have a very easy way to trick them. Simply swapping out some words using a paraphrasing tool like Quillbot results in the ability to bypass detection — except for Originality.ai. Originality.ai can detect whether the content is AI, original, or paraphrased.
A false positive is when an AI detector incorrectly identifies human-created content as being likely generated by an AI.
There is often some misunderstanding when it comes to false positives. For clarity, here is how Originality.ai aims to identify AI vs Original content under different content creation scenarios…
*AI Outline is defined as using AI (an LLM) to create a content idea, do some research, and/or create an outline. The level at which AI is used during this process may vary and could potentially affect the likelihood the text is detected as AI or human
So if the content was outlined by an AI, then some of the content was written by a human and finally edited/expanded on by an AI; Originality.ai aims to identify this as AI-generated. This is not a false positive.
Similarly and more obviously, if ChatGPT creates a piece of content and then someone painstakingly edits it, but it still gets identified as AI-generated — this is not a false positive.
This is a tricky question and one that is still being debated as the use of AI continues to increase. The launch of our Lite 1.0.0 model permits light AI editing such as using popular tools like Grammarly’s spelling and grammar suggestions while editing.
Overall, it’s best to maintain transparency when using AI, whether it’s for content outlines or editing.
So, in a world where the rate of false positives isn’t (nor will ever be) 0%, how should AI detectors be used?
AI detection does not provide a proveable output for each piece of text — meaning no AI detector can say with proveable certainty that this is how we KNOW that your content was created with AI.
Therefore, it is best…
Many Originality.ai customers using this strategy have been able to successfully identify writers who were using AI (even though they had been asked not to). Additionally, the Originality.ai customers using this approach were confident they could safely ignore a suspected false positive.
Read case studies of how customers have found success with Originality.ai.
However, for academic disciplinary action, AI detection scores alone are simply not enough.
Some might question if it is responsible to have an AI detection tool if it is not perfect. At Originality.ai, we are confident in the detection rates of our tests and the additional steps we have taken to try and reduce/manage “False positives, including the free tools we offer.”
In a world where AI content is allowed to run wild unchecked, the impact on many of us would be significant.
ChatGPT and other AI tools like HuggingChat are here — there is no going back. Everyone involved with writing needs to adapt to this new world.
The rise of ChatGPT and AI detectors has led to some unfortunate situations in academia.
Here are some examples:
To be clear… at Originality.ai we don’t believe that an AI detection score alone is enough for disciplinary action. If a report indicates the potential use of AI, always review the content carefully and on a case-by-case basis.
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!
