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.
Disclaimer: This article is for informational purposes only. Don’t use it in place of legal advice. If you have any concerns about using AI and plagiarism, consult an attorney.
ChatGPT and other artificial intelligence (AI) writing tools have exploded into the market, creating controversy around their use. So much so, in fact, that schools have been creating policies on navigating AI use in the classroom, content marketers are turning to AI detection tools to help ensure original, human content, and even authors are wondering if and how AI-generated content can have a place in their work.
While the exact reasons for AI-related concerns can vary by industry, there is one topic that comes up time and time again: plagiarism.
More specifically, these questions arise:
Note: Since the widespread use of AI technology is still so new, the laws and ethics regarding AI plagiarism, and the question of ‘does AI plagiarize?’ are a little murky.
In this article, we’re going to explore what we know so far about the use of AI writing tools from a legal perspective to help you stay on the right side of the law.
Simply put, plagiarism occurs when you try to pass off someone else’s work as your own. For example, a student copies another student’s essay (whether it’s just a section or the entire thing), puts their name on it, and then hands it in as their own original work. They don’t acknowledge the source material or author at all, as they want to keep the credit for themselves.
This is, of course, highly unethical, and the reason why schools and workplaces often have strict policies in place surrounding plagiarism. Here’s the thing: when determining if using AI is plagiarism, can you really apply this traditional definition of plagiarism to AI writing tools?
So, is using AI to write plagiarism? It’s a bit of a gray area for now, but generally speaking, no, the use of AI tools isn’t considered plagiarism. When you consider how AI tools work, the traditional definition of plagiarism doesn’t really apply.
AI doesn’t usually copy from other sources word-for-word when it’s generating content. Its goal isn’t even to paraphrase specific pieces of content. These machine learning programs do just what their name implies: learn.
Large language models like GPT-3 are trained on massive datasets that allow them to recognize patterns, structures, and styles of text. They then try to replicate these elements — not necessarily copy the sentences and phrases it has been trained on — to generate what sounds like original, human-written content.
So does AI plagiarize? Since the intention of AI isn’t specifically to pass off someone else’s work as its own (and it’s difficult to prove if AI is directly copying from other sources), it’s not considered plagiarism. At least, in the traditional sense.
So why is using AI viewed as plagiarism by some? Some people argue that it should be because it depends almost entirely on the original work of others. And this is where some of the legal issues come into play.
Let’s start off by clarifying something: in most cases, plagiarism isn’t illegal in the United States. A plagiarizer may face serious repercussions due to a school or work policy, sure, but it’s more of an ethical issue than a legal one. Copyright infringement, on the other hand, is a different story.
While plagiarism is about using someone else’s work and not giving credit where credit is due, copyright infringement is a little different. It involves not obtaining permission to use an original, copyrighted work in the first place.
You can often fix a plagiarism issue by simply citing the original source, but it’s more complicated with copyright infringement. If you don’t get permission to use the work from the copyright holder themselves, you can get charged.
And in the world of artificial intelligence, no one knows this better than the AI companies themselves.
While the US Copyright Office, Library of Congress has issued a statement of policy on AI-generated content, there are still some major legal battles going on regarding AI and copyrighted works. And they don’t just involve big companies — authors are getting in on the action too.
For example, OpenAI, the creator of ChatGPT, and Microsoft are being sued by nonfiction book authors and the New York Times for similar copyright infringement cases. They both allege that the companies used their copyrighted work without permission to train their large language models. This comes after the Authors Guild of America, including author George R.R. Martin, had already sued OpenAI for copyright infringement themselves.
These are just a few examples of the current legal challenges to AI, so it will be interesting to see how they affect the definition of AI plagiarism and copyright infringement in the future. But in the meantime, if you’d like to use AI in your own content creation process, it’s important to do so responsibly.
The conversation and laws surrounding AI plagiarism and copyright infringement may be murky, but that doesn’t mean you should avoid using this technology entirely. After all, there are some real benefits to using AI in the content creation process — you just need to do so responsibly.
Here are some best practices for responsible AI use in the content creation process.
So, is using AI plagiarism? Well, from a legal perspective, the answer is no — at least, not yet. While there are various cases regarding AI and plagiarism’s cousin, copyright infringement, currently going on in the courts, the laws surrounding this situation are still murky at best.
In the meantime, you can help avoid any plagiarism-related issues by following the best practices for using AI tools responsibly in the content creation process. By citing your sources, using AI as an assistant instead of a primary author, and taking advantage of plagiarism checkers, you can ensure that you’re reaping the benefits of AI tools in an ethical way.
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!
Save up to 23% on our Pro and Enterprise subscriptions
See Our Pricing