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.
Do AI Detectors Work? OpenAI says “in short no” but the reality is that, although they are not perfect, they do “work” and if you think they don’t we have a challenge for you that will benefit charity!
The usefulness of AI detectors depends on your use case, if 95%+ AI detection accuracy is enough then they definitely “work”. However, if perfection is required then they are not the right tool for you. They will never be “perfect” and for this reason, we have always recommended against them being used for academic discipline.
But we believe the societal costs that would result from undetectable AI-generated text are too significant for over-simplified comments stating AI detectors don’t work, such as OpenAI’s above, backed up with no data.
So…
We are issuing a “Do AI Detectors Work” Challenge for Charity and specifically asking OpenAI to participate and stand behind their statement “Do AI Detectors work? In short, no”!
If you also think AI detection tools do not work then here is your chance to expose them and benefit a good cause!
Announcing The Do AI Detectors Work Challenge for Charity
The idea is that we will run a dataset, newly created for this test, of AI-generated text and human-written text through Originality.ai.
For each piece of writing Originality incorrectly identifies we will donate to charity, for each one Originality.ai predicts correctly the challenger will donate to charity.
Interested? Contact Us and let’s set it up!
When text is entered into Originality you receive a probability that the text is Original (human-created) and the probability that the text is AI (AI-written).
If the text was human-written and Originality.ai identifies a greater than 50% chance that it is Original that is a correct prediction.
So either human-created or AI-created text can be entered and Originality can predict if the content was Original or AI-generated so it produces 4 possible outcomes.
If you want to run a modified version (smaller data set etc.) we are open to that, contact us and we would be happy to work with anyone to set up a fair test!
Here is our idea…
10,000 Text Record Dataset Tested
If you think AI detectors do not work and want to take us up on this challenge then please contact us.
Plus it is for a good cause!
This is an invitation for OpenAI and we would be happy to have others join in on the fun and benefit charity.
Our hope is to also provide some understanding of the effectiveness of AI detectors and their limitations!
Below we will provide some additional context on how AI content checkers work and their limitations based on our testing.
AI detectors may each use some combination of these detection models…
Further Reading:
We have an incredibly in-depth study that looks at our and other companies' AI detector accuracy. But in short, not all detectors are the same and their usefulness depends on your use-case/dataset.
The accuracy claims made by any detector that doesn’t provide data to support that claim should be taken with a grain of salt.
No detector is perfect and all will have some % of false positives (a false positive is when the detector incorrectly thinks a human-written article was AI-generated) and false negatives (the detector incorrectly thinks an AI-written article was human).
Here is the accuracy of Originality.ai on GPT-4 generated content (99%+ accurate) with a 1.5% false positive.
Here are the results of testing several AI detectors on an adversarial dataset (dataset of AI-generated content meant to be undetectable) that we have open-sourced.
Full results including the dataset used can be checked here:
https://originality.ai/blog/ai-content-detection-accuracy
Additionally at the link above you will find an AI detector efficacy analysis tool we open-sourced that will allow you to run your own dataset across multiple detectors to determine their effectiveness for your use case. This tool includes a full statistical analysis including a confusion matrix and reporting the F1, Precision, Recall (True Positive Rate), Specificity (True Negative Rate), False Positive Rate, and Accuracy.
We do not like and have always recommended against the use of Originality.ai, or any AI detector, being used for academic dishonesty and disciplinary actions.
A lot of the confusion related to AI detectors stems from people looking to use them the same way that plagiarism checkers are used.
Plagiarism checkers are able to provide an enforceable level of proof that text was copied. AI detectors can not do that.
For this reason, we are not supporters of academic discipline being issued based solely on the results of an AI detector.
If it were possible to bypass a detector easily then would they still serve a purpose? I think we would agree that they would be less useful. But the reality is that many of the bypassing methods that previously produced useful content are no longer effective. Now the reality is that writing tools that make AI-generated content undetectable produce output quality that is simply not useful for most people. If you then correct the grammar and odd word choices it typically becomes detectable again.
Here is a guide that looks at the different strategies people use to make undetectable AI content.
Quillbot or other paraphrasing tools used to be effective at bypassing Originality and other AI content detection tools but that is no longer an effective strategy at Originality.ai. See results for Quillbot and Paraphrasing Detection.
A score of 40% AI and 60% Original means the detector thinks there is a 60% chance the piece of content was written by a human and a 40% chance it was written by a machine.
It does not mean that 40% of the article is AI-generated and 60% is human-generated text. Although it can be very frustrating when you see a score of 40% AI on a piece of content that you know you wrote 100% yourself, this is not a false positive.
To understand if an AI content detector will “work” for your use case you first need to understand what level of accuracy you require.
If you require perfection then AI detectors will not work.
If over 95% accuracy and under 5% false positives is acceptable for your use case and the alternative of having no idea if content was AI or human generated then they will work for you.
To understand the exact efficacy of detectors for your use case you can use the open-sourced tool we provide and test your own dataset - https://originality.ai/blog/ai-content-detection-accuracy
If you think AI-generated text detectors do not work we offer you the chance to prove it and benefit charity! Please Contact Us!
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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