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.
When many people think of AI (artificial intelligence), they think of online writing tools that help college students quickly come up with last-minute essays. Or even busy content professionals churning out half-baked articles. But AI is much more than just a content generation shortcut - it can help in the fight against plagiarism.
In fact, new and ongoing developments are helping position AI as a powerful tool in both academic and professional plagiarism investigations. In this article, we're going to discuss what plagiarism is, and how AI is being used to help in the fight against it.
Before we get into AI's role in the matter, it's important to talk about what plagiarism actually is. Many people believe that it strictly refers to copying someone else's work word-for-word without using quotation marks and a reference, but there's more to the definition of plagiarism than that.
Acts of plagiarism occur when someone tries to pass off an original author's work or ideas as their own. That's right - even using another person's ideas without a proper citation counts as plagiarism.
If you were not aware of this, then don't worry - cases of accidental plagiarism happen all the time. Even an improper citation can be considered a form of plagiarism. But whether it's intentional or not, both academic and professional settings will take any accusations of plagiarism seriously. And there can be some serious repercussions.
Plagiarism can have some serious consequences in both academic and professional settings. For students, plagiarism is often considered an act of academic misconduct. So, if a student is caught plagiarizing a paper, they may face disciplinary action from their school. In some cases, they may lose their spot entirely.
But it's not just academic writing that's facing plagiarism allegations these days. With AI-generated content flooding the internet, online creators are also being questioned about the originality of their content. And those who can't or won't provide evidence that their content comes from original sources risk losing clients and their reputation.
With education and businesses on the line, it's no wonder that people are taking an interest in avoiding the consequences of plagiarism. Fortunately, AI is proving to be a valuable ally in the fight against plagiarism for several reasons.
While AI-generated text is often a source of potential plagiarism, AI-assisted plagiarism tools are making it easier than ever to ensure 100% original content. Here are some of the reasons why this technology is becoming a game-changer.
Many online plagiarism checkers work by comparing chunks of text against existing information in a database. And while this works for directly copied content, it doesn't work in cases like paraphrased plagiarism or other types of plagiarism.
But using AI allows for more advanced plagiarism checkers to leverage deep learning techniques. They can identify patterns and look at the structure and sequence of the sentences, even if the words don't directly match.
For example, writing “Instances of plagiarism are higher as a result of AI writing tools” and “As a result of AI writing tools, the prevalence of plagiarism is higher in academia' might not use the same words, but both sentences are semantically similar. This allows more modern AI detection tools to catch them.
Another common issue for even well-known plagiarism scanners is cross-language plagiarism. Bilingual students or professionals can easily lift content in one language, translate it, and present it in another. And plagiarism checkers can't detect this if they only look for information in English.
AI systems that are trained on multiple languages, on the other hand, can scan for such instances and detect them using a similar type of text matching as described above. They can do this across both the original and the translated language.
A-what analysis? When talking about AI and plagiarism, it's easy to get lost in the weeds with machine learning jargon. Semantic analysis simply means that rather than matching words, the AI works to understand their overlying meaning. It does this by essentially “reading between the lines”.
Through its programming, it tries to understand the actual meaning of words, and not just look for patterns on the surface. With this in mind, it does a kind of apples-to-apples comparison of the broader content itself rather than the individual words.
AI has evolved to detect plagiarism well beyond simple text. Using “Convolutional Neural Networks” (which sounds as convoluted as you might imagine), systems can look at the pixel data to find similarities. Just like how AI breaks down the chunks of text to analyze their patterns, so too can it break down frames into images and look at their sequence or pixel data to find areas where they match.
Imagine you're looking at a photo of a family gathering and trying to find the family dog in the picture. Rather than looking at the whole picture, you'd try to find tell-tale (or is that tell-tail?) signs like the ears or tail. CNNs work similarly.
The same applies to audio through spectrogram analysis. In this case, imagine you're listening to different signs and trying to figure out their patterns. You can easily distinguish the differences between a bird singing and a person talking, but machines cannot. So, tools like spectrogram analysis are used to help them understand what they're “hearing”.
One of the things that sets AI plagiarism detection apart from plain text plagiarism checkers and other types of detection programs is its ability to continually learn and improve over time. Times and technology change, and with those changes come ever more inventive ways to try and circumvent or outsmart the system.
The nice thing about artificial intelligence is its ability to learn from and anticipate these changes. It can then update its detection techniques accordingly.
Because AI plagiarism scanners can be integrated within various systems and publications, it can automate the process of scanning, storing and indexing content from a wide range of sources. In addition, because it uses NLP (Natural Language Processing) to learn from what it “reads”, it can categorize this information, enabling it to look up and draw from many different sources in seconds.
Rather than simply flagging instances of potential plagiarism, today's AI detection services can actually elaborate on issues it has encountered. So, students or content professionals can understand the issues behind their writing, as well as how to properly cite the credible sources they're referencing.
One of AI's greatest strengths is its ability to consume, examine, store and pull from massive datasets, enabling entire databases, academic journal repositories and other content sources to be added and used as training materials. This, combined with cloud-based systems enables AI to crawl through considerable amounts of data concurrently, displaying the results in just a few seconds.
In addition by using techniques like hashing, large datasets can be converted into shorter, unique “tokens” that are more efficient for the AI to “digest”. Breaking down large swaths of content in this way makes sure that content is checked thoroughly but quickly.
Here we go back into the weeds of AI jargon again, but don't worry, it's painless. Stylometric analysis is like a deep analysis of one's writing style. Everyone has one, and each one is unique like fingerprints.
A stylometric analysis looks at the content creator's use of sentence structure, punctuation and other stylistic features. If a document suddenly changes its writing style, it might mean that this part wasn't written by the original author.
Another of the considerable benefits of using AI plagiarism detectors is that they can consistently monitor a given platform. So, when new content is uploaded, it can be instantly compared to existing writing in the database, and any instances of plagiarism can be detected right away.
Well-known plagiarism detectors that leverage AI often use this as one of their biggest selling points, as having a repository of things like student papers or academic reports helps them to root out any paid essay services or similar types of content plagiarism in the system.
One of the most interesting facets of using AI to combat plagiarism is its ability to draw upon patterns, including past instances of plagiarism. They can do this in terms of the who/what/where/when and how they happened so that it can predict potential future occurrences.
Institutions and platforms can then leverage this information to create preventative measures or monitor these areas so that possible future incidents happen less and less.
Last but not least, there's the academic side of plagiarism detection and AI, which often involves integrating a given AI detection system into the institution's LMS (Learning Management System). This allows professors to give direct feedback and grade based on any instances of plagiarism found, while helping students scan their own work for plagiarism before turning it in.
Keep in mind that although AI can do all of these things, there's a delicate balance in terms of how much human intervention is needed and how much of the process can be automated. False positives can and do occur, so it's important to be aware that this can happen no matter how sophisticated the platform is.
The good news is that AI plagiarism detectors have already shown a great deal of promise in being able to go beyond plain text matching. The system's ability to understand semantics, translate between languages and even go so far as to detect plagiarized pixels makes it an invaluable tool in the fight against plagiarism.
Add to this its ongoing learning and monitoring, and its ability to be integrated into different systems, and you have a comprehensive kit that's designed to reward originality of thought and true writing skill. With all technologies though, it's always a good idea to have a human in the loop to consistently ensure that the AI's results are fair, accurate and balanced and are a true reflection of its capabilities, rather than a simple pattern matching system that barely scratches the surface.
Interested in trying the web's most accurate AI plagiarism detector? Try Originality.AI now for as little as 1 cent per 100 words scanned. With monthly subscription packages and pay-as-you-go options, Originality.ÁI's versatile plagiarism detection and AI writing detection are second-to-none and have effortlessly detected AI writing from systems like Google Bard, ChatGPT and others with some of the highest accuracy rates in the industry.
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!
